CN111262930A

CN111262930A - Internet of things-based cerebral infarction patient recovery training guidance system

Info

Publication number: CN111262930A
Application number: CN202010042988.3A
Authority: CN
Inventors: 刘盈盈; 李新军; 王永正; 韩杨云; 王淳; 易兴阳; 覃波; 李洁
Original assignee: Peoples Hospital of Deyang City
Current assignee: Peoples Hospital of Deyang City
Priority date: 2020-01-15
Filing date: 2020-01-15
Publication date: 2020-06-09

Abstract

The invention discloses a training guidance system for recovery of a cerebral infarction patient based on the Internet of things, which comprises: a unit for collecting training recovery related information of the cerebral infarction patient by the mobile terminal; means for transmitting, by a base station, an RRC connection reconfiguration message to a mobile terminal; means for transmitting, by the mobile terminal, an RRC connection reconfiguration complete message to the base station; means for transmitting, by a base station, a WLAN access point status request message to a WLAN access point; means for transmitting, by the WLAN access point to the base station, a WLAN access point status request message receipt confirmation message; means for determining, by the WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station, and sending, by the WLAN access point, the BSS load and the backhaul connection rate to the base station; means for starting, by the mobile terminal, monitoring RSSI of a beacon frame transmitted by the WLAN access point; means for transmitting, by the mobile terminal, a WLAN access point measurement report to the base station if the RSSI of the beacon frame transmitted by the WLAN access point is greater than a first reporting threshold.

Description

Internet of things-based cerebral infarction patient recovery training guidance system

Technical Field

The invention relates to the technical field of cerebral infarction training and recovery, in particular to a cerebral infarction patient recovery training guidance system based on the Internet of things.

Background

Cerebral infarction, also known as cerebral infarction (ischemic stroke), is the ischemic necrosis or softening of localized brain tissue caused by cerebral blood supply disorder, ischemia, and hypoxia.

The prior art CN110675934A discloses a system for remote rehabilitation training of a limb dyskinesia person, which comprises an electromyography sensor, an inertial sensor, an intelligent terminal application system and a rehabilitation training system server, wherein the electromyography sensor and the inertial sensor are both connected with the intelligent terminal application system, and the intelligent terminal is in communication with the rehabilitation training system server; the myoelectric sensor is used for periodically evaluating the rehabilitation condition of the patient to obtain data representing the muscle condition; the inertial sensor is used for acquiring motion data of the limb in a three-dimensional space; the intelligent terminal application system is installed on the intelligent terminal equipment; and the rehabilitation training system server is used for analyzing, managing and storing various data uploaded by the intelligent terminal application system, processing the data acquired by the myoelectric sensor and the inertial sensor to obtain muscle condition data and motion trail data of the patient, evaluating the rehabilitation motion completion degree of the patient and giving a correction suggestion.

The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.

Disclosure of Invention

The invention aims to provide an Internet of things-based training guidance system for recovery of a cerebral infarction patient, which can overcome the defects of the prior art.

In order to achieve the purpose, the invention provides an internet-of-things-based training guidance system for recovery of a cerebral infarction patient, which comprises:

a unit for collecting training recovery related information of the cerebral infarction patient by the mobile terminal;

means for establishing, by a mobile terminal, an RRC connection with a base station;

means for sending, by a base station, an RRC connection reconfiguration message to a mobile terminal in response to establishing an RRC connection with the mobile terminal, wherein the RRC connection reconfiguration message includes at least a WLAN access point measurement report configuration message, wherein the WLAN access point measurement report configuration message includes at least a first reporting threshold and a second reporting threshold, and wherein the first reporting threshold is greater than the second reporting threshold;

means for sending, by the mobile terminal, an RRC connection reconfiguration complete message to the base station in response to receiving the RRC connection reconfiguration message;

means for transmitting, by the base station, a WLAN access point status request message to the WLAN access point in response to receiving the RRC connection reconfiguration complete message;

means for transmitting, by the WLAN access point to the base station, a WLAN access point status request message receipt confirmation message in response to receiving the WLAN access point status request message;

means for determining, by the WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and sending, by the WLAN access point, the BSS load and the backhaul connection rate to the base station;

means for starting, by the mobile terminal, monitoring RSSI of a beacon frame transmitted by the WLAN access point in response to transmitting the RRC connection reconfiguration complete message to the base station;

means for transmitting, by the mobile terminal, a WLAN access point measurement report to the base station if the RSSI of the beacon frame transmitted by the WLAN access point is greater than a first reporting threshold, wherein the WLAN access point measurement report includes at least an identity of the WLAN access point and the RSSI of the beacon frame.

In a preferred embodiment, the training guidance system for the recovery of the cerebral infarction patient based on the internet of things comprises: means for determining, by the base station, whether the BSS load is greater than an upper BSS load limit in response to receiving the WLAN access point measurement report; a unit for sending a command of rejecting to send data to the WLAN access point to the mobile terminal by the base station if it is determined that the BSS load is greater than the BSS load upper limit; means for sending, by the mobile terminal to the base station, recovery training related information for the brainstem patient in response to receiving a command to deny transmission of data to the WLAN access point; a unit for transmitting, by the base station, the recovery training related information of the cerebral infarction patient to a cerebral infarction patient recovery center server in response to receiving the recovery training related information of the cerebral infarction patient; means for continuing to determine whether the backhaul connection rate is greater than the backhaul connection rate threshold by the base station if it is determined that the BSS load is less than the BSS load upper limit; means for sending, by the base station, a command to the mobile terminal to deny transmission of data to the WLAN access point if it is determined that the backhaul connection rate is less than the backhaul connection rate threshold; means for sending, by the mobile terminal to the base station, recovery training related information for the brainstem patient in response to receiving a command to deny transmission of data to the WLAN access point; and a unit for sending the recovery training related information of the cerebral infarction patient to a cerebral infarction patient recovery center server by the base station in response to receiving the recovery training related information of the cerebral infarction patient.

In a preferred embodiment, the training guidance system for the recovery of the cerebral infarction patient based on the internet of things comprises: means for determining, by the base station, an amount of data to be transmitted to the WLAN access point based on RSSI of a beacon frame transmitted by the WLAN access point and indicating, by the base station, the amount of data to be transmitted to the WLAN access point to the mobile terminal if it is determined that the backhaul connection rate is greater than the backhaul connection rate threshold; means for transmitting, by the mobile terminal to the WLAN access point, a portion of recovery training related information of the brainstem patient as instructed in response to receiving an indication of an amount of data to be transmitted to the WLAN access point; means for transmitting, by the mobile terminal, a remaining portion of the recovery training related information of the brainstem patient to the base station; means for forwarding, by the WLAN access point to the base station, a portion of the recovery training related information for the brainstem patient in response to receiving the portion of the recovery training related information for the brainstem patient; and a unit for transmitting, by the base station, the recovery training related information of the cerebral infarction patient to the cerebral infarction patient rehabilitation center server in response to receiving a part of the recovery training related information of the cerebral infarction patient and the remaining part of the recovery training related information of the cerebral infarction patient.

In a preferred embodiment, the training guidance system for the recovery of the cerebral infarction patient based on the internet of things comprises: means for continuing to monitor, by the mobile terminal, the RSSI of beacon frames transmitted by the WLAN access point in response to transmitting a portion of the recovery training related information of the brainstem patient to the WLAN access point as instructed; means for sending, by the mobile terminal, a second WLAN access point measurement report to the base station if the RSSI of the beacon frame sent by the WLAN access point is less than a second reporting threshold, wherein the second WLAN access point measurement report at least includes the identity of the WLAN access point and the RSSI of the beacon frame; means for sending, by the base station, a WLAN access point status request message to the WLAN access point again in response to receiving the second WLAN access point measurement report; means for transmitting, by the WLAN access point, a WLAN access point status request message reception confirmation message to the base station again in response to receiving the WLAN access point status request message; means for determining, by the WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and transmitting, by the WLAN access point, the BSS load and the backhaul connection rate to the base station again; means for determining, by the base station, whether the BSS load is greater than a BSS load upper limit in response to receiving the BSS load and the backhaul connection rate; a unit for sending a command that data is no longer sent to the WLAN access point to the mobile terminal by the base station if it is determined that the BSS load is greater than the BSS load upper limit; a unit for transmitting, by the mobile terminal, the training recovery related information of all the brainstem patients to the base station in response to receiving a command that data is no longer transmitted to the WLAN access point; a unit for transmitting, by the base station, the recovery training related information of the cerebral infarction patient to a cerebral infarction patient recovery center server in response to receiving the recovery training related information of the cerebral infarction patient; means for continuing to determine whether the backhaul connection rate is greater than the backhaul connection rate threshold by the base station if it is determined that the BSS load is less than the BSS load upper limit; means for sending, by the base station, a command to the mobile terminal to no longer send data to the WLAN access point if it is determined that the backhaul connection rate is less than the backhaul connection rate threshold; a unit for transmitting, by the mobile terminal, the training recovery related information of all the brainstem patients to the base station in response to receiving a command that data is no longer transmitted to the WLAN access point; and a unit for sending the recovery training related information of the cerebral infarction patient to a cerebral infarction patient recovery center server by the base station in response to receiving the recovery training related information of the cerebral infarction patient.

In a preferred embodiment, the training guidance system for the recovery of the cerebral infarction patient based on the internet of things comprises: means for sending, by the base station, a second RRC connection reconfiguration message to the mobile terminal if the backhaul connection rate is determined to be greater than the backhaul connection rate threshold, wherein the second RRC connection reconfiguration message at least includes a second WLAN access point measurement report configuration message, wherein the second WLAN access point measurement report configuration message at least includes a third reporting threshold; means for continuing to monitor, by the mobile terminal, the RSSI of beacon frames transmitted by the WLAN access point in response to receiving the RRC connection reconfiguration message; means for sending, by the mobile terminal, a third WLAN access point measurement report to the base station if the RSSI of the beacon frame sent by the WLAN access point is less than a third reporting threshold, wherein the third WLAN access point measurement report at least includes the identity of the WLAN access point and the RSSI of the beacon frame; means for sending, by the base station, a command to the mobile terminal to no longer send data to the WLAN access point in response to receiving the third WLAN access point measurement report; a unit for transmitting, by the mobile terminal, the training recovery related information of all the brainstem patients to the base station in response to receiving a command that data is no longer transmitted to the WLAN access point; and a unit for sending the recovery training related information of the cerebral infarction patient to a cerebral infarction patient recovery center server by the base station in response to receiving the recovery training related information of the cerebral infarction patient.

The invention provides a computer program for an Internet of things-based training guidance system for recovery of a cerebral infarction patient, which comprises the following steps:

code for collecting, by the mobile terminal, recovery training-related information of the brainstem patient;

code for establishing, by a mobile terminal, an RRC connection with a base station;

code for sending, by a base station, an RRC connection reconfiguration message to a mobile terminal in response to establishing an RRC connection with the mobile terminal, wherein the RRC connection reconfiguration message includes at least a WLAN access point measurement report configuration message, wherein the WLAN access point measurement report configuration message includes at least a first reporting threshold and a second reporting threshold, and wherein the first reporting threshold is greater than the second reporting threshold;

code for sending, by the mobile terminal, an RRC connection reconfiguration complete message to the base station in response to receiving the RRC connection reconfiguration message;

code for transmitting, by the base station, a WLAN access point status request message to the WLAN access point in response to receiving the RRC connection reconfiguration complete message;

code for transmitting, by the WLAN access point to the base station, a WLAN access point status request message receipt confirmation message in response to receiving the WLAN access point status request message;

code for determining, by the WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and transmitting, by the WLAN access point, the BSS load and the backhaul connection rate to the base station;

code for, in response to transmitting the RRC connection reconfiguration complete message to the base station, beginning monitoring, by the mobile terminal, an RSSI of a beacon frame transmitted by the WLAN access point;

code for transmitting, by the mobile terminal, a WLAN access point measurement report to the base station if the RSSI of the beacon frame transmitted by the WLAN access point is greater than a first reporting threshold, wherein the WLAN access point measurement report includes at least an identity of the WLAN access point and the RSSI of the beacon frame.

In a preferred embodiment, a computer program for an internet of things based training guidance system for recovery of a cerebral infarction patient comprises: code for determining, by the base station, whether the BSS load is greater than a BSS load upper limit in response to receiving the WLAN access point measurement report; code for sending a command to the mobile terminal by the base station to deny sending data to the WLAN access point if it is determined that the BSS load is greater than the BSS load upper limit; code for sending, by the mobile terminal to the base station, recovery training related information for the brainstem patient in response to receiving a command to deny transmission of data to the WLAN access point; code for sending, by the base station to a brainstem patient rehabilitation center server, recovery training related information for the brainstem patient in response to receiving the recovery training related information for the brainstem patient; code for continuing, by the base station, to determine whether the backhaul connection rate is greater than the backhaul connection rate threshold if it is determined that the BSS load is less than the BSS load upper limit; code for sending, by the base station, a command to the mobile terminal to deny transmission of data to the WLAN access point if it is determined that the backhaul connection rate is less than the backhaul connection rate threshold; code for sending, by the mobile terminal to the base station, recovery training related information for the brainstem patient in response to receiving a command to deny transmission of data to the WLAN access point; and code for transmitting, by the base station to a brainstem patient rehabilitation center server, the rehabilitation training-related information of the brainstem patient in response to receiving the rehabilitation training-related information of the brainstem patient.

In a preferred embodiment, a computer program for an internet of things based training guidance system for recovery of a cerebral infarction patient comprises: code for determining, by the base station, an amount of data to be transmitted to the WLAN access point based on RSSI of a beacon frame transmitted by the WLAN access point and indicating, by the base station, the amount of data to be transmitted to the WLAN access point to the mobile terminal if it is determined that the backhaul connection rate is greater than the backhaul connection rate threshold; code for, in response to receiving an indication of an amount of data to transmit to the WLAN access point, transmitting, by the mobile terminal, a portion of recovery training related information of the brainstem patient to the WLAN access point as indicated; code for sending, by the mobile terminal, a remaining portion of the recovery training related information of the brainstem patient to the base station; code for forwarding, by the WLAN access point to the base station, a portion of the recovery training related information of the brainstem patient in response to receiving the portion of the recovery training related information of the brainstem patient; code for transmitting, by the base station to a brainstem patient rehabilitation center server, recovery training related information for the brainstem patient in response to receiving a portion of the recovery training related information for the brainstem patient and a remaining portion of the recovery training related information for the brainstem patient.

In a preferred embodiment, a computer program for an internet of things based training guidance system for recovery of a cerebral infarction patient comprises: code for continuing, by the mobile terminal, monitoring, in response to transmitting a portion of the recovery training related information of the brainstem patient to the WLAN access point as instructed, the RSSI of beacon frames transmitted by the WLAN access point; code for sending, by the mobile terminal, a second WLAN access point measurement report to the base station if the RSSI of the beacon frame sent by the WLAN access point is less than a second reporting threshold, wherein the second WLAN access point measurement report includes at least the identity of the WLAN access point and the RSSI of the beacon frame; code for sending, by the base station, a WLAN access point status request message to the WLAN access point again in response to receiving the second WLAN access point measurement report; code for transmitting, by the WLAN access point, a WLAN access point status request message reception confirmation message to the base station again in response to receiving the WLAN access point status request message; code for determining, by the WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and transmitting, by the WLAN access point, the BSS load and the backhaul connection rate to the base station again; code for determining, by the base station, whether the BSS load is greater than a BSS load upper limit in response to receiving the BSS load and the backhaul connection rate; code for sending a command by the base station to the mobile terminal to no longer send data to the WLAN access point if it is determined that the BSS load is greater than the BSS load upper limit; code for sending, by the mobile terminal, recovery training related information for all brainstem patients to the base station in response to receiving a command to no longer send data to the WLAN access point; code for sending, by the base station to a brainstem patient rehabilitation center server, recovery training related information for the brainstem patient in response to receiving the recovery training related information for the brainstem patient; code for continuing, by the base station, to determine whether the backhaul connection rate is greater than the backhaul connection rate threshold if it is determined that the BSS load is less than the BSS load upper limit; code for sending, by the base station, a command to the mobile terminal to no longer send data to the WLAN access point if it is determined that the backhaul connection rate is less than the backhaul connection rate threshold; code for sending, by the mobile terminal, recovery training related information for all brainstem patients to the base station in response to receiving a command to no longer send data to the WLAN access point; and code for transmitting, by the base station to a brainstem patient rehabilitation center server, the rehabilitation training-related information of the brainstem patient in response to receiving the rehabilitation training-related information of the brainstem patient.

In a preferred embodiment, a computer program for an internet of things based training guidance system for recovery of a cerebral infarction patient comprises: code for sending, by the base station, a second RRC connection reconfiguration message to the mobile terminal if the backhaul connection rate is determined to be greater than the backhaul connection rate threshold, wherein the second RRC connection reconfiguration message comprises at least a second WLAN access point measurement report configuration message, wherein the second WLAN access point measurement report configuration message comprises at least a third reporting threshold; code for continuing to monitor, by the mobile terminal, the RSSI of beacon frames transmitted by the WLAN access point in response to receiving the RRC connection reconfiguration message; code for sending, by the mobile terminal, a third WLAN access point measurement report to the base station if the RSSI of the beacon frame sent by the WLAN access point is less than a third reporting threshold, wherein the third WLAN access point measurement report includes at least the identity of the WLAN access point and the RSSI of the beacon frame; code for sending, by the base station to the mobile terminal, a command to no longer send data to the WLAN access point in response to receiving the third WLAN access point measurement report; code for sending, by the mobile terminal, recovery training related information for all brainstem patients to the base station in response to receiving a command to no longer send data to the WLAN access point; and code for sending, by the base station to a brainstem patient rehabilitation center server, recovery training related information for the brainstem patient in response to receiving the recovery training related information for the brainstem patient.

Compared with the prior art, the invention has the following advantages: at present, the training mode of the stroke patients is that the stroke patients go to a special recovery center regularly for guided training and then go back to home to insist on training according to self conditions. Because no special personnel supervise and know, the effect of the training mode mainly depends on the willingness of the patient, the willingness of the patient is strong, the training effect can be generally accepted if the patient can insist on training, and the training effect is poor if the willingness of the patient is weak and the training cannot insist on training. In addition, even though many patients can insist on training, the training effect is far from the effect that rehabilitation training should have because of lack of professional guidance. Aiming at the existing problems, some families supervise the training of patients by adopting a nanny, but the nanny does not receive any professional training, the level of the nanny is uneven, the nanny does not carry out the psychological training of the patients, the motivation and communication to the patients are lacked, and the training effect is poor. Aiming at the problems in the prior art, the invention provides the training guidance system for the recovery of the cerebral infarction patients based on the Internet of things, the system disclosed by the invention can remotely transmit the training data of the patients to a server of a rehabilitation center in real time, and then the rehabilitation center can send staff to specially guide and supervise, so that the trouble of the patients to the rehabilitation center is avoided, the time of taking care of each patient by professionals is reduced, and the working efficiency of the professionals is improved.

Drawings

FIG. 1 is a functional diagram of a system according to an embodiment of the present invention.

Detailed Description

The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.

Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.

FIG. 1 is a functional diagram of a system according to an embodiment of the present invention. As shown in the figure, the training guidance system for the recovery of the cerebral infarction patient based on the internet of things comprises:

unit 101: a unit for collecting, by the mobile terminal, information related to recovery training of the cerebral infarction patient (the information related to recovery training of the cerebral infarction patient includes, for example, age, sex, cerebral infarction attack time, treatment process, training situation of the cerebral infarction patient, training items, training short video of the cerebral infarction patient, etc.);

the unit 102: means for establishing, by a mobile terminal, an RRC connection with a base station;

the unit 103: means for sending, by a base station, an RRC connection reconfiguration message to a mobile terminal in response to establishing an RRC connection with the mobile terminal, wherein the RRC connection reconfiguration message includes at least a WLAN access point measurement report configuration message, wherein the WLAN access point measurement report configuration message includes at least a first reporting threshold and a second reporting threshold, and wherein the first reporting threshold is greater than the second reporting threshold;

unit 104: means for sending, by the mobile terminal, an RRC connection reconfiguration complete message to the base station in response to receiving the RRC connection reconfiguration message;

unit 105: means for transmitting, by the base station, a WLAN access point status request message to the WLAN access point in response to receiving the RRC connection reconfiguration complete message;

the unit 106: means for transmitting, by the WLAN access point to the base station, a WLAN access point status request message receipt confirmation message in response to receiving the WLAN access point status request message;

unit 107: means for determining, by the WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and sending, by the WLAN access point, the BSS load and the backhaul connection rate to the base station;

the unit 108: means for starting, by the mobile terminal, monitoring RSSI of a beacon frame transmitted by the WLAN access point in response to transmitting the RRC connection reconfiguration complete message to the base station;

unit 109: means for transmitting, by the mobile terminal, a WLAN access point measurement report to the base station if the RSSI of the beacon frame transmitted by the WLAN access point is greater than a first reporting threshold, wherein the WLAN access point measurement report includes at least an identity of the WLAN access point and the RSSI of the beacon frame.

The invention provides a computer program for an Internet of things-based training guidance system for recovery of a cerebral infarction patient, which comprises the following steps: code for collecting, by the mobile terminal, recovery training-related information of the brainstem patient; code for establishing, by a mobile terminal, an RRC connection with a base station; code for sending, by a base station, an RRC connection reconfiguration message to a mobile terminal in response to establishing an RRC connection with the mobile terminal, wherein the RRC connection reconfiguration message includes at least a WLAN access point measurement report configuration message, wherein the WLAN access point measurement report configuration message includes at least a first reporting threshold and a second reporting threshold, and wherein the first reporting threshold is greater than the second reporting threshold; code for sending, by the mobile terminal, an RRC connection reconfiguration complete message to the base station in response to receiving the RRC connection reconfiguration message; code for transmitting, by the base station, a WLAN access point status request message to the WLAN access point in response to receiving the RRC connection reconfiguration complete message; code for transmitting, by the WLAN access point to the base station, a WLAN access point status request message receipt confirmation message in response to receiving the WLAN access point status request message; code for determining, by the WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and transmitting, by the WLAN access point, the BSS load and the backhaul connection rate to the base station; code for, in response to transmitting the RRC connection reconfiguration complete message to the base station, beginning monitoring, by the mobile terminal, an RSSI of a beacon frame transmitted by the WLAN access point; code for transmitting, by the mobile terminal, a WLAN access point measurement report to the base station if the RSSI of the beacon frame transmitted by the WLAN access point is greater than a first reporting threshold, wherein the WLAN access point measurement report includes at least an identity of the WLAN access point and the RSSI of the beacon frame.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.

Claims

1. The utility model provides a cerebral infarction patient resumes training guidance system based on thing networking which characterized in that: the training guidance system for recovering the cerebral infarction patient based on the Internet of things comprises:

means for transmitting, by a base station, an RRC connection reconfiguration message to the mobile terminal in response to establishing an RRC connection with the mobile terminal, wherein the RRC connection reconfiguration message includes at least a WLAN access point measurement report configuration message, wherein the WLAN access point measurement report configuration message includes at least a first reporting threshold and a second reporting threshold, and wherein the first reporting threshold is greater than the second reporting threshold;

means for transmitting, by a base station, a WLAN access point status request message to the WLAN access point in response to receiving the RRC connection reconfiguration complete message;

means for transmitting, by a WLAN access point, a WLAN access point status request message receipt acknowledgement message to the base station in response to receiving the WLAN access point status request message;

means for determining, by a WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and sending, by the WLAN access point, the BSS load and the backhaul connection rate to the base station;

means for starting, by a mobile terminal, monitoring RSSI of a beacon frame transmitted by the WLAN access point in response to transmitting an RRC connection reconfiguration complete message to the base station;

means for sending, by a mobile terminal, a WLAN access point measurement report to the base station if the RSSI of a beacon frame sent by the WLAN access point is greater than the first reporting threshold, wherein the WLAN access point measurement report includes at least an identity of the WLAN access point and the RSSI of the beacon frame.

2. The internet-of-things-based brainstem patient recovery training guidance system of claim 1, wherein: the training guidance system for recovering the cerebral infarction patient based on the Internet of things comprises:

means for determining, by a base station, whether the BSS load is greater than a BSS load upper limit in response to receiving the WLAN access point measurement report;

means for sending, by the base station, a command to the mobile terminal to deny sending of data to the WLAN access point if it is determined that the BSS load is greater than a BSS load upper limit;

means for sending, by a mobile terminal, to the base station, recovery training related information for the brainstem patient in response to receiving a command to deny transmission of data to the WLAN access point;

a unit for transmitting, by a base station, recovery training related information of the cerebral infarction patient to a cerebral infarction patient rehabilitation center server in response to receiving the recovery training related information of the cerebral infarction patient;

means for, if the BSS load is determined to be less than the BSS load upper limit, continuing to determine whether the backhaul connection rate is greater than a backhaul connection rate threshold by the base station;

means for sending, by the base station, a command to the mobile terminal to deny sending of data to the WLAN access point if it is determined that the backhaul connection rate is less than a backhaul connection rate threshold;

and the base station is used for sending the recovery training related information of the cerebral infarction patient to a cerebral infarction patient rehabilitation center server in response to receiving the recovery training related information of the cerebral infarction patient.

3. The internet-of-things-based brainstem patient recovery training guidance system of claim 2, wherein: the training guidance system for recovering the cerebral infarction patient based on the Internet of things comprises:

means for determining, by a base station, an amount of data to be transmitted to a WLAN access point based on an RSSI of a beacon frame transmitted by the WLAN access point and indicating, by the base station, the amount of data to be transmitted to the WLAN access point to the mobile terminal if it is determined that the backhaul connection rate is greater than a backhaul connection rate threshold;

means for transmitting, by a mobile terminal, a portion of recovery training related information of the brainstem patient to the WLAN access point in accordance with an indication of an amount of data to be transmitted to the WLAN access point in response to receiving the indication;

means for transmitting, by a mobile terminal, a remaining portion of the recovery training related information of the brainstem patient to the base station;

means for forwarding, by a WLAN access point to the base station, a portion of the recovery training related information of the brainstem patient in response to receiving the portion of the recovery training related information of the brainstem patient;

means for sending, by a base station to a brainstem patient rehabilitation center server, recovery training related information for the brainstem patient in response to receiving a portion of the recovery training related information for the brainstem patient and a remaining portion of the recovery training related information for the brainstem patient.

4. The internet-of-things-based brainstem patient recovery training guidance system of claim 3, wherein: the training guidance system for recovering the cerebral infarction patient based on the Internet of things comprises:

means for continuing to monitor, by the mobile terminal, the RSSI of beacon frames transmitted by the WLAN access point in response to transmitting a portion of the convalescence related information of the brainstem patient to the WLAN access point in accordance with the indication;

means for transmitting, by the mobile terminal, a second WLAN access point measurement report to the base station if the RSSI of the beacon frame transmitted by the WLAN access point is less than the second reporting threshold, wherein the second WLAN access point measurement report includes at least the identity of the WLAN access point and the RSSI of the beacon frame;

means for sending, by a base station, a WLAN access point status request message to the WLAN access point again in response to receiving the second WLAN access point measurement report;

means for transmitting, by the WLAN access point, a WLAN access point status request message reception confirmation message to the base station again in response to receiving the WLAN access point status request message;

means for determining, by a WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and sending, by the WLAN access point, the BSS load and the backhaul connection rate to the base station again;

means for determining, by a base station, whether the BSS load is greater than a BSS load upper limit in response to receiving the BSS load and the backhaul connection rate;

means for sending, by the base station, a command to the mobile terminal to no longer send data to the WLAN access point if it is determined that the BSS load is greater than a BSS load upper limit;

means for transmitting, by a mobile terminal, recovery training related information for all of the brainstem patients to the base station in response to receiving a command to no longer transmit data to the WLAN access point;

means for sending, by the base station, a command to the mobile terminal to no longer send data to the WLAN access point if it is determined that the backhaul connection rate is less than a backhaul connection rate threshold;

5. The internet-of-things-based brainstem patient recovery training guidance system of claim 4, wherein: the training guidance system for recovering the cerebral infarction patient based on the Internet of things comprises:

means for sending, by a base station, a second RRC connection reconfiguration message to the mobile terminal if it is determined that the backhaul connection rate is greater than a backhaul connection rate threshold, wherein the second RRC connection reconfiguration message at least includes a second WLAN access point measurement report configuration message, wherein the second WLAN access point measurement report configuration message at least includes a third reporting threshold;

means for continuing to monitor, by the mobile terminal, the RSSI of beacon frames transmitted by the WLAN access point in response to receiving the RRC connection reconfiguration message;

means for transmitting, by the mobile terminal, a third WLAN access point measurement report to the base station if the RSSI of the beacon frame transmitted by the WLAN access point is less than the third reporting threshold, wherein the third WLAN access point measurement report includes at least the identity of the WLAN access point and the RSSI of the beacon frame;

means for sending, by a base station to the mobile terminal, a command to no longer send data to the WLAN access point in response to receiving the third WLAN access point measurement report;

6. A computer program for an internet of things-based brainstem patient recovery training guidance system, characterized in that: the computer program for an internet of things-based brainstem patient recovery training guidance system comprises:

code for sending, by a base station, an RRC connection reconfiguration message to the mobile terminal in response to establishing an RRC connection with the mobile terminal, wherein the RRC connection reconfiguration message includes at least a WLAN access point measurement report configuration message, wherein the WLAN access point measurement report configuration message includes at least a first reporting threshold and a second reporting threshold, and wherein the first reporting threshold is greater than the second reporting threshold;

code for sending, by a mobile terminal, an RRC connection reconfiguration complete message to the base station in response to receiving the RRC connection reconfiguration message;

code for transmitting, by a base station, a WLAN access point status request message to the WLAN access point in response to receiving the RRC connection reconfiguration complete message;

code for transmitting, by a WLAN access point, a WLAN access point status request message receipt confirmation message to the base station in response to receiving the WLAN access point status request message;

code for determining, by a WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and sending, by the WLAN access point, the BSS load and the backhaul connection rate to the base station;

code for initiating, by a mobile terminal, monitoring of RSSI of beacon frames transmitted by the WLAN access point in response to transmitting an RRC connection reconfiguration complete message to the base station;

code for transmitting, by a mobile terminal, a WLAN access point measurement report to the base station if the RSSI of a beacon frame transmitted by the WLAN access point is greater than the first reporting threshold, wherein the WLAN access point measurement report includes at least an identity of the WLAN access point and the RSSI of the beacon frame.

7. The computer program for an internet of things based brainstem patient recovery training guidance system of claim 6, wherein: the computer program for an internet of things-based brainstem patient recovery training guidance system comprises:

code for determining, by a base station, whether the BSS load is greater than a BSS load upper limit in response to receiving the WLAN access point measurement report;

code for sending, by the base station, a command to the mobile terminal to deny sending data to the WLAN access point if it is determined that the BSS load is greater than a BSS load upper limit;

code for sending, by a mobile terminal, to the base station, recovery training related information for the brainstem patient in response to receiving a command to deny transmission of data to the WLAN access point;

code for sending, by a base station to a brainstem patient rehabilitation center server, recovery training-related information for the brainstem patient in response to receiving the recovery training-related information for the brainstem patient;

code for continuing, by the base station, determining whether the backhaul connection rate is greater than a backhaul connection rate threshold if it is determined that the BSS load is less than a BSS load upper limit;

code for sending, by the base station, a command to the mobile terminal to deny transmission of data to the WLAN access point if it is determined that the backhaul connection rate is less than a backhaul connection rate threshold;

and code for sending, by the base station to a brainstem patient rehabilitation center server, recovery training related information for the brainstem patient in response to receiving the recovery training related information for the brainstem patient.

8. The computer program for an internet of things based brainstem patient recovery training guidance system of claim 7, wherein: the computer program for an internet of things-based brainstem patient recovery training guidance system comprises:

code for determining, by a base station, an amount of data to be transmitted to a WLAN access point based on RSSI of a beacon frame transmitted by the WLAN access point and indicating, by the base station, the amount of data to be transmitted to the WLAN access point to the mobile terminal if it is determined that the backhaul connection rate is greater than a backhaul connection rate threshold;

code for, in response to receiving an indication of an amount of data to be transmitted to the WLAN access point, transmitting, by a mobile terminal, a portion of recovery training related information of the brainstem patient to the WLAN access point in accordance with the indication;

code for transmitting, by a mobile terminal, a remaining portion of the recovery training related information of the brainstem patient to the base station;

code for forwarding, by a WLAN access point to the base station, a portion of the recovery training related information of the brainstem patient in response to receiving the portion of the recovery training related information of the brainstem patient;

code for sending, by a base station to a brainstem patient rehabilitation center server, recovery training related information for the brainstem patient in response to receiving a portion of the recovery training related information for the brainstem patient and a remaining portion of the recovery training related information for the brainstem patient.

9. The computer program for an internet of things based brainstem patient recovery training guidance system of claim 8, wherein: the computer program for an internet of things-based brainstem patient recovery training guidance system comprises:

code for continuing, by the mobile terminal, monitoring, in response to transmitting a portion of the recovery training related information of the brainstem patient to the WLAN access point in accordance with the indication, the RSSI of beacon frames transmitted by the WLAN access point;

code for transmitting, by a mobile terminal, a second WLAN access point measurement report to the base station if the RSSI of a beacon frame transmitted by the WLAN access point is less than the second reporting threshold, wherein the second WLAN access point measurement report includes at least the identity of the WLAN access point and the RSSI of the beacon frame;

code for sending, by the base station, a WLAN access point status request message to the WLAN access point again in response to receiving the second WLAN access point measurement report;

code for sending, by the WLAN access point, a WLAN access point status request message receipt confirmation message to the base station again in response to receiving the WLAN access point status request message;

code for determining, by a WLAN access point, a BSS load of the WLAN access point and a backhaul connection rate between the WLAN access point and the base station in response to receiving the WLAN access point status request message, and transmitting, by the WLAN access point, the BSS load and the backhaul connection rate to the base station again;

code for determining, by a base station, whether the BSS load is greater than a BSS load upper limit in response to receiving the BSS load and the backhaul connection rate;

code for sending, by the base station, a command to the mobile terminal to no longer send data to the WLAN access point if it is determined that the BSS load is greater than a BSS load upper limit;

code for sending, by a mobile terminal, recovery training related information for all of the brainstem patients to the base station in response to receiving a command to no longer send data to the WLAN access point;

code for sending, by the base station, a command to the mobile terminal to no longer send data to the WLAN access point if it is determined that the backhaul connection rate is less than a backhaul connection rate threshold;

10. The computer program for an internet of things based brainstem patient recovery training guidance system of claim 9, wherein: the computer program for an internet of things-based brainstem patient recovery training guidance system comprises:

code for sending, by a base station, a second RRC connection reconfiguration message to the mobile terminal if it is determined that the backhaul connection rate is greater than a backhaul connection rate threshold, wherein the second RRC connection reconfiguration message comprises at least a second WLAN access point measurement report configuration message, wherein the second WLAN access point measurement report configuration message comprises at least a third reporting threshold;

code for continuing to monitor, by the mobile terminal, the RSSI of beacon frames transmitted by the WLAN access point in response to receiving the RRC connection reconfiguration message;

code for transmitting, by a mobile terminal, a third WLAN access point measurement report to the base station if the RSSI of a beacon frame transmitted by the WLAN access point is less than the third reporting threshold, wherein the third WLAN access point measurement report includes at least the identity of the WLAN access point and the RSSI of the beacon frame;

code for sending, by a base station to the mobile terminal, a command to no longer send data to the WLAN access point in response to receiving the third WLAN access point measurement report;