CN112914589B - Multi-sleep-guidance monitoring wireless net cap device and monitoring method - Google Patents
Multi-sleep-guidance monitoring wireless net cap device and monitoring method Download PDFInfo
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Abstract
The invention discloses a multi-sleep-guidance monitoring wireless net cap device and a monitoring method, which relate to the technical field of sleep monitoring, and have the technical scheme that: the wearable body comprises a wearable body, a signal processing module, a first memory, a data integration module, a multi-channel signal transmitter, a multi-channel signal receiver, a second memory, a data fusion module, a display module and acquisition equipment arranged on the wearable body; the acquisition equipment is connected with the signal processing module; the signal processing module is connected with the data integration module; the data integration module is connected with the first memory and the multi-channel signal transmitter; the multi-channel signal transmitter is in communication connection with the multi-channel signal receiver; the multi-channel signal receiver is connected with the data fusion module; the data fusion module is connected with the second memory and the display module. The invention can integrate various different sleep index signals into a small number of monitoring curve graphs for display, can effectively reduce the difficulty of signal transmission, and is convenient for terminal workers to check.
Description
Technical Field
The invention relates to the technical field of sleep monitoring, in particular to a multi-sleep-guidance monitoring wireless net cap device and a monitoring method.
Background
One third of the time a human spends in sleep, which is an essential physiological need in human life. Sleep is the most natural and basic life process formed in the biological evolution process, the accurate regulation and control of the sleep process is the basis for ensuring the normal running of other life processes such as blood, metabolism, immunity, endocrine, brain activity and the like, plays an important feedback regulation role for arousal, commonly maintains the regular change of life phenomena, is a sufficient condition and necessary power for the survival and development of individuals, and has great significance for monitoring the sleep condition of a human body.
Currently, human sleep monitoring is divided into a wired monitoring system and a wireless monitoring system from a signal transmission mode; the sleep monitor is divided into a multi-lead sleep monitoring system, a family type portable sleep monitor and a sleep monitoring bracelet according to the use condition. The common sleep monitoring mode is a multi-lead sleep monitoring system which is mainly carried out in professional monitoring mechanisms such as hospitals and the like and comprises monitoring indexes such as electroencephalogram, eye movement, mouth-nose airflow, snore, pectoral girdle (monitoring body position/chest type respiration), abdominal girdle (abdominal type respiration), electrocardio, blood oxygen, leg movement and the like, wherein various indexes are transmitted with monitoring equipment outside a body through dozens of transmission lines or wirelessly transmitted to various monitoring signals; the wireless transmission mode is easily interfered by the environment and signals, and the communication channels for transmitting different signals are complex, so that the system is difficult to build; in addition, no matter wired or wireless monitoring mode, the receiving terminal of its monitoring result all needs to carry out the analysis to multiple signal, and not only data processing volume is big, easily receives display terminal's display window quantity restriction moreover, leads to the staff to the operation of looking over of monitoring result unchangeable, and because the sleep monitoring result is real-time supervision, the condition of checking exists in the demonstration of corresponding monitoring result.
Therefore, how to research and design a polysomnography wireless net cap device and a monitoring method which are convenient to operate and simple in information processing is a problem which is urgently needed to be solved at present.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a polysomnography sleep monitoring wireless net cap device and a monitoring method.
The technical purpose of the invention is realized by the following technical scheme:
in a first aspect, a sleep-polysomnography wireless net cap device is provided, which comprises a wearing main body, a signal processing module, a first memory, a data integration module, a multi-channel signal transmitter, a multi-channel signal receiver, a second memory, a data fusion module, a display module and a plurality of acquisition devices, wherein the acquisition devices are all arranged on the wearing main body;
the acquisition equipment is connected with the signal processing module and is used for acquiring a sleep index signal of the target object in a sleep state in real time and transmitting the sleep index signal to the signal processing module;
the signal processing module is connected with the data integration module and is used for respectively extracting index feature sets in different sleep index signals within a preset time range, establishing a corresponding time feature sequence according to the preset time range and transmitting the time feature sequence to the data integration module;
the first memory stores characteristic symbols representing different index characteristics in the sleep index signal and stores the characteristic symbols in a classified manner according to the types of the index signals;
the data integration module is connected with the first memory and the multichannel signal transmitter and is used for matching and calling corresponding characteristic symbols in the first memory according to the time characteristic sequence to form symbol identification strings corresponding to the sleep index signals one by one, integrating different symbol identification strings into integrated identification strings of a plurality of characteristic symbols corresponding to the same time axis node according to the time axis node sequence of the time characteristic sequence according to the integrated signals, and transmitting the integrated identification strings to the multichannel signal transmitter;
the multi-channel signal transmitter is in communication connection with the multi-channel signal receiver and is used for identifying the integration type of the integrated identification string and transmitting the integrated identification string to the multi-channel signal receiver according to the selected corresponding communication channel;
the multi-channel signal receiver is connected with the data fusion module and used for receiving the integrated identification string and transmitting the integrated identification string and the corresponding integrated type to the data fusion module;
the second memory stores an assignment table which is in one-to-one correspondence with the integration types of the integrated identification strings, and the assignment table contains assignment data representing the integration symbols on the time axis nodes in the corresponding integrated identification strings;
the data fusion module is connected with the second memory and the display module and used for matching the corresponding assignment table according to the integration type of the integrated identification string, constructing a monitoring curve graph according to the time axis node sequence after assigning the assigned data in the assignment table according to the integration identifier in the integrated identification string, and transmitting the monitoring curve graph to the display module;
and the display module is used for displaying the monitoring curve graph in real time.
Further, the data integration module is connected with an initial early warning module, and the initial early warning module comprises a first database and a first processing unit;
the first database stores adjacent span range values and interval span range values which are set in one-to-one correspondence with the symbol identification strings;
the first processing unit is used for calculating a first span value between adjacent characteristic symbols in the symbol identification string and a second span value between two characteristic symbols spaced by one time axis node, comparing and analyzing the first span value with an adjacent span range value and the second span value with a spaced span range value to obtain an initial processing result, and generating a corresponding integrated signal according to the initial processing result;
when the first span value and the second span value of the symbol identification string are both qualified, generating an integrated signal of which the corresponding symbol identification string participates in integration;
and when any one of the first span value and the second span value of the symbol identification string is unqualified, generating an integrated signal of which the corresponding symbol identification string does not participate in integration.
Further, the data fusion module is connected with a terminal early warning module, and the terminal early warning module comprises a second database and a second processing unit;
the second database stores standard amplitude range values which are set in one-to-one correspondence with the integrated identification strings;
the second processing unit is used for calculating the actual amplitude value of the monitoring curve graph in the time axis node range and judging whether the actual amplitude value exceeds the standard amplitude range value; and if the voltage exceeds the preset value, outputting an early warning signal.
Furthermore, the data fusion module is connected with a monitoring decomposition module, and the monitoring decomposition module comprises a signal input unit and a curve decomposition unit;
a signal input unit for inputting an integrated decomposed signal to be decomposed;
and the curve decomposition unit is used for decomposing the constructed monitoring curve graph into at least two new monitoring curve graphs of different integration types according to the integration decomposition signal.
Furthermore, the display module is provided with an identification unit, a window generation unit and a display unit;
an identification unit for identifying the number of integration types of the integrated identification string;
the window generating unit is used for constructing display windows which are distributed in an arrangement mode according to the number of the integration types;
and the display unit is used for correspondingly displaying the integrated identification strings through the display window.
Furthermore, the display module is also provided with a fault detection unit; the fault detection unit is used for simultaneously receiving the integration type information output by the data fusion module and the integration signal fed back by the data integration module and judging whether the integration type information is consistent with the integration type number and the integration type category in the integration signal; and if the two are not consistent, outputting a fault detection signal.
Further, the collection equipment is a patch sensor arranged on the inner side of the wearable main body.
Furthermore, the acquisition equipment is any combination of sleep brain wave monitoring equipment, finger oxygen saturation monitoring equipment, myoelectricity monitoring equipment, body movement monitoring equipment, pulse information monitoring equipment, heart rate information monitoring equipment and posture information monitoring equipment.
Further, the wearing main body is a latticed elastic body.
In a second aspect, a polysomnography method is provided, which includes the following steps:
s101: acquiring a sleep index signal of a target object in a sleep state in real time, and transmitting the sleep index signal to a signal processing module;
s102: respectively extracting index feature sets in different sleep index signals within a preset time range, establishing corresponding time feature sequences according to the preset time range, and transmitting the time feature sequences to a data integration module;
s103: storing the characteristic symbols representing different index characteristics in the sleep index signal, and storing the characteristic symbols in a classified manner according to the index signal category;
s104: matching and calling corresponding characteristic symbols in a first memory according to the time characteristic sequence to form symbol identification strings corresponding to the sleep index signals one by one, integrating different symbol identification strings into integrated identification strings corresponding to a plurality of characteristic symbols of the same time axis node according to the time axis node sequence of the time characteristic sequence according to the integrated signals, and transmitting the integrated identification strings to a multi-channel signal transmitter;
s105: identifying an integration type of the integrated identification string and transmitting the integrated identification string to the multichannel signal receiver according to the selection of the corresponding communication channel;
s106: receiving the integrated identification string and transmitting the integrated identification string and the corresponding integrated type to a data fusion module;
s107: storing assignment tables corresponding to the integration types of the integrated identification strings one by one, wherein the assignment tables comprise assignment data representing the integration symbols on the time axis nodes in the corresponding integrated identification strings;
s108: matching a corresponding assignment table according to the integration type of the integrated identification string, constructing a monitoring curve graph according to the time axis node sequence after assigning value data in the assignment table according to the integration identifier in the integrated identification string, and transmitting the monitoring curve graph to a display module;
s109: and displaying the monitoring curve graph in real time.
Compared with the prior art, the invention has the following beneficial effects:
1. the multi-sleep-guidance monitoring wireless network device can integrate various different sleep index signals into a small number of monitoring curve graphs for displaying, can effectively reduce the difficulty of signal transmission, and is convenient for terminal workers to check;
2. according to the invention, the symbol identification strings are preliminarily judged, and the abnormal symbol identification strings are independently formed into a monitoring curve graph for transmission and display, so that accurate abnormal detection can be realized;
3. according to the method, the abnormity detection is carried out on the integrated and fused monitoring curve graph at the terminal, the abnormal condition existing under the mutual influence of various monitoring indexes is considered, the accuracy of polysomnography is improved, and the detection error is reduced;
4. the method can decompose the constructed monitoring curve graph into new monitoring curve graphs of different monitoring types according to the actual needs of terminal side workers, and is convenient for operators to carry out deep monitoring analysis on individual monitoring indexes;
5. the invention can adaptively and automatically generate the display windows with the corresponding number according to the number of the monitoring categories, thereby realizing intelligent display.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a schematic diagram of the operation in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or be indirectly connected to the other element. When an element is referred to as being "connected to" another element, it can be directly or indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings that is solely for the purpose of facilitating the description and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and is therefore not to be construed as limiting the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Example 1: the utility model provides a lead sleep monitor wireless net cap device more, as shown in figure 1, including wearing main part, signal processing module, first memory, data integration module, multichannel signal transmitter, multichannel signal receiver, second memory, data fusion module, display module and a plurality of collection equipment, a plurality of collection equipment all install in wearing the main part. And the acquisition equipment is connected with the signal processing module and is used for acquiring the sleep index signal of the target object in the sleep state in real time and transmitting the sleep index signal to the signal processing module. And the signal processing module is connected with the data integration module and is used for respectively extracting the index feature sets in different sleep index signals within a preset time range, establishing a corresponding time feature sequence according to the preset time range and transmitting the time feature sequence to the data integration module. The first memory stores the characteristic symbols representing different index characteristics in the sleep index signal and stores the characteristic symbols in a classified manner according to the types of the index signals. And the data integration module is connected with the first memory and the multichannel signal transmitter and is used for matching and calling corresponding characteristic symbols in the first memory according to the time characteristic sequence to form symbol identification strings corresponding to the sleep index signals one by one, integrating different symbol identification strings into integrated identification strings of a plurality of characteristic symbols corresponding to the same time axis node according to the time axis node sequence of the time characteristic sequence according to the integrated signals, and transmitting the integrated identification strings to the multichannel signal transmitter. And the multi-channel signal transmitter is in communication connection with the multi-channel signal receiver and is used for identifying the integration type of the integrated identification string and transmitting the integrated identification string to the multi-channel signal receiver according to the selected corresponding communication channel. And the multi-channel signal receiver is connected with the data fusion module and used for receiving the integrated identification string and transmitting the integrated identification string and the corresponding integrated type to the data fusion module. And the second memory stores an assignment table which is in one-to-one correspondence with the integration types of the integrated identification strings, and the assignment table contains assignment data for representing the integration symbols on the time axis nodes in the corresponding integrated identification strings. And the data fusion module is connected with the second memory and the display module and used for matching the corresponding assignment table according to the integration type of the integrated identification string, constructing a monitoring curve graph according to the time axis node sequence after assigning data in the assignment table according to the integration symbol in the integrated identification string, and transmitting the monitoring curve graph to the display module. And the display module is used for displaying the monitoring curve graph in real time.
The data integration module is connected with an initial early warning module, and the initial early warning module comprises a first database and a first processing unit. And the first database stores adjacent span range values and interval span range values which are set in one-to-one correspondence with the symbol identification strings. The first processing unit is used for calculating a first span value between adjacent characteristic symbols in the symbol identification string and a second span value between two characteristic symbols spaced by one time axis node, comparing and analyzing the first span value with an adjacent span range value and the second span value with a spaced span range value to obtain an initial processing result, and generating a corresponding integrated signal according to the initial processing result; when the first span value and the second span value of the symbol identification string are both qualified, generating an integrated signal of which the corresponding symbol identification string participates in integration; and when any one of the first span value and the second span value of the symbol identification string is unqualified, generating an integrated signal of which the corresponding symbol identification string does not participate in integration.
The data fusion module is connected with a terminal early warning module, and the terminal early warning module comprises a second database and a second processing unit. And the second database stores standard amplitude range values which are set in one-to-one correspondence with the integrated identification strings. The second processing unit is used for calculating an actual amplitude value of the monitoring curve graph in a time axis node range and judging whether the actual amplitude value exceeds a standard amplitude range value or not; and if the voltage exceeds the preset value, outputting an early warning signal.
The data fusion module is connected with a monitoring decomposition module, and the monitoring decomposition module comprises a signal input unit and a curve decomposition unit. And the signal input unit is used for inputting the integrated decomposed signal to be decomposed. And the curve decomposition unit is used for decomposing the constructed monitoring curve graph into at least two new monitoring curve graphs of different integration types according to the integration decomposition signal.
The display module is provided with an identification unit, a window generation unit and a display unit. And the identification unit is used for identifying the number of the integration types of the integrated identification string. And the window generating unit is used for constructing display windows which are distributed in an arrangement mode according to the number of the integration types. And the display unit is used for correspondingly displaying the integrated identification strings through the display window.
The display module is also provided with a fault detection unit; the fault detection unit is used for simultaneously receiving the integration type information output by the data fusion module and the integration signal fed back by the data integration module and judging whether the integration type information is consistent with the integration type number and the integration type category in the integration signal; and if the two signals are not consistent, outputting a fault detection signal.
The collection equipment is a patch sensor arranged on the inner side of the wearable main body. The acquisition equipment is any combination of sleep brain wave monitoring equipment, finger oxygen saturation monitoring equipment, myoelectricity monitoring equipment, body movement monitoring equipment, pulse information monitoring equipment, heart rate information monitoring equipment and posture information monitoring equipment. The wearing main body is a latticed elastic body.
For example, there are five different sleep index signals a, B, C, D, E, and when the integrated signal has two signals, a, B, C, D, E. If the preset time range is set as T [0, n ], T is divided into n +1 time axis nodes at an interval of 1, and the established time characteristic sequences are A (a 0, a1, a2, \ 8230;, an), B (B0, B1, B2, \ 8230;, bn), C (C0, C1, C2, \ 8230;, cn), D (D0, D1, D2, ..., dn), E (E0, E1, E2, \ 8230;, en), respectively.
The symbol recognition string formed by the data integration module may be A0 (a 00, a11, a22, ..., ann), B0 (B00, B11, B22, ..., bnn), C0 (C00, C11, C22, ..., cnn), D0 (D00, D11, D22, ..., dnn), E0 (E00, E11, E22, ..., enn), an represents only one sequence feature, and an represents only one feature.
The two integrated identification strings after the data integration module is integrated are as follows:
A0-B0-C0{(a00/b00/c00),(a11/b11/c11),(a22/b22/c22),…,(ann/bnn/cnn)}。
and a00/b00/c00, a11/b11/c11, a22/b22/c22 and ann/bnn/cnn can be assigned with different Arabic numerals to support the construction of a continuous monitoring curve graph.
Example 2: a method of polysomnography, as shown in fig. 1, comprising the steps of:
s101: acquiring a sleep index signal of a target object in a sleep state in real time, and transmitting the sleep index signal to a signal processing module;
s102: respectively extracting index feature sets in different sleep index signals within a preset time range, establishing corresponding time feature sequences according to the preset time range, and transmitting the time feature sequences to a data integration module;
s103: storing the characteristic symbols representing different index characteristics in the sleep index signal, and storing the characteristic symbols in a classified manner according to the index signal category;
s104: matching and calling corresponding characteristic symbols in a first memory according to the time characteristic sequence to form symbol identification strings corresponding to the sleep index signals one by one, integrating different symbol identification strings into integrated identification strings corresponding to a plurality of characteristic symbols of the same time axis node according to the time axis node sequence of the time characteristic sequence according to the integrated signals, and transmitting the integrated identification strings to a multi-channel signal transmitter;
s105: identifying an integration type of the integrated identification string and transmitting the integrated identification string to the multichannel signal receiver according to the selection of the corresponding communication channel;
s106: receiving the integrated identification string, and transmitting the integrated identification string and the corresponding integrated type to the data fusion module;
s107: storing assignment tables corresponding to the integration types of the integrated identification strings one by one, wherein the assignment tables comprise assignment data representing the integration symbols on the time axis nodes in the corresponding integrated identification strings;
s108: matching a corresponding assignment table according to the integration type of the integrated identification string, constructing a monitoring curve graph according to the time axis node sequence after assigning value data in the assignment table according to the integration identifier in the integrated identification string, and transmitting the monitoring curve graph to a display module;
s109: and displaying the monitoring curve graph in real time.
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 so forth) 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 above embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A multi-guide sleep monitoring wireless net cap device is characterized by comprising a wearing main body, a signal processing module, a first memory, a data integration module, a multi-channel signal transmitter, a multi-channel signal receiver, a second memory, a data fusion module, a display module and a plurality of acquisition devices, wherein the plurality of acquisition devices are all arranged on the wearing main body;
the acquisition equipment is connected with the signal processing module and is used for acquiring a sleep index signal of the target object in a sleep state in real time and transmitting the sleep index signal to the signal processing module;
the signal processing module is connected with the data integration module and is used for respectively extracting index feature sets in different sleep index signals within a preset time range, establishing a corresponding time feature sequence according to the preset time range and transmitting the time feature sequence to the data integration module;
the first memory stores characteristic symbols representing different index characteristics in the sleep index signal and stores the characteristic symbols in a classified manner according to the types of the index signals;
the data integration module is connected with the first memory and the multichannel signal transmitter and is used for matching and calling corresponding characteristic symbols in the first memory according to the time characteristic sequence to form symbol identification strings corresponding to the sleep index signals one by one, integrating different symbol identification strings into integrated identification strings of a plurality of characteristic symbols corresponding to the same time axis node according to the time axis node sequence of the time characteristic sequence according to the integrated signals and transmitting the integrated identification strings to the multichannel signal transmitter;
the multi-channel signal transmitter is in communication connection with the multi-channel signal receiver and is used for identifying the integration type of the integrated identification string and transmitting the integrated identification string to the multi-channel signal receiver according to the selected corresponding communication channel;
the multi-channel signal receiver is connected with the data fusion module and used for receiving the integrated identification string and transmitting the integrated identification string and the corresponding integrated type to the data fusion module;
the second memory stores an assignment table which is in one-to-one correspondence with the integration types of the integrated identification strings, and the assignment table contains assignment data for representing the integration symbols on the time axis nodes in the corresponding integrated identification strings;
the data fusion module is connected with the second memory and the display module and used for matching the corresponding assignment table according to the integration type of the integrated identification string, constructing a monitoring curve graph according to the time axis node sequence after assigning the assigned data in the assignment table according to the integration identifier in the integrated identification string, and transmitting the monitoring curve graph to the display module;
the display module is used for displaying the monitoring curve graph in real time;
the data integration module is connected with an initial early warning module, and the initial early warning module comprises a first database and a first processing unit;
the first database stores adjacent span range values and interval span range values which are set in one-to-one correspondence with the symbol identification strings;
the first processing unit is used for calculating a first span value between adjacent characteristic symbols in the symbol identification string and a second span value between two characteristic symbols spaced by one time axis node, comparing and analyzing the first span value with an adjacent span range value and the second span value with a spaced span range value to obtain an initial processing result, and generating a corresponding integrated signal according to the initial processing result;
when the first span value and the second span value of the symbol identification string are both qualified, generating an integrated signal of which the corresponding symbol identification string participates in integration;
and when any one of the first span value and the second span value of the symbol identification string is unqualified, generating an integrated signal of which the corresponding symbol identification string does not participate in integration.
2. The wireless net cap device for monitoring polysomnography as claimed in claim 1, wherein the data fusion module is connected with a terminal early warning module, which comprises a second database and a second processing unit;
the second database stores standard amplitude range values which are set in one-to-one correspondence with the integrated identification strings;
the second processing unit is used for calculating an actual amplitude value of the monitoring curve graph in a time axis node range and judging whether the actual amplitude value exceeds a standard amplitude range value or not; and if the voltage exceeds the preset value, outputting an early warning signal.
3. The wireless net cap device for monitoring polysomnography as claimed in claim 1, wherein said data fusion module is connected with a monitoring decomposition module, which comprises a signal input unit, a curve decomposition unit;
a signal input unit for inputting an integrated decomposed signal to be decomposed;
and the curve decomposition unit is used for decomposing the constructed monitoring curve graph into at least two new monitoring curve graphs of different integration types according to the integration decomposition signal.
4. The wireless net cap device for monitoring polysomnography as claimed in claim 1, wherein said display module is provided with an identification unit, a window generation unit, a display unit;
an identification unit for identifying the number of integration types of the integrated identification string;
the window generating unit is used for constructing display windows which are distributed in an arrangement mode according to the number of the integration types;
and the display unit is used for correspondingly displaying the integrated identification strings through the display window.
5. The device of claim 4, wherein the display module further comprises a fault detection unit; the fault detection unit is used for simultaneously receiving the integration type information output by the data fusion module and the integration signal fed back by the data integration module and judging whether the integration type information is consistent with the integration type number and the integration type category in the integration signal; and if the two are not consistent, outputting a fault detection signal.
6. The wireless net cap device for monitoring sleep polysomnography as claimed in claim 1, wherein the collecting device is a patch sensor arranged inside the wearing body.
7. The wireless net cap device for sleep monitor of claim 1, wherein the collecting device is any combination of a sleep brain wave monitoring device, a finger oxygen saturation monitoring device, a myoelectric monitoring device, a body movement monitoring device, a pulse information monitoring device, a heart rate information monitoring device and a posture information monitoring device.
8. The sleep monitor wireless mesh cap device as claimed in claim 1, wherein the wearing body is a latticed elastic body.
9. A polysomnography method is characterized by comprising the following steps:
s101: acquiring a sleep index signal of a target object in a sleep state in real time, and transmitting the sleep index signal to a signal processing module;
s102: respectively extracting index feature sets in different sleep index signals within a preset time range, establishing corresponding time feature sequences according to the preset time range, and transmitting the time feature sequences to a data integration module;
s103: storing the characteristic symbols representing different index characteristics in the sleep index signal, and storing the characteristic symbols in a classified manner according to the index signal category;
s104: matching and calling corresponding characteristic symbols in a first memory according to the time characteristic sequence to form symbol identification strings corresponding to the sleep index signals one by one, integrating different symbol identification strings into integrated identification strings of a plurality of characteristic symbols corresponding to the same time axis node according to the time axis node sequence of the time characteristic sequence according to the integrated signals, and transmitting the integrated identification strings to a multi-channel signal transmitter;
s105: identifying an integration type of the integrated identification string and transmitting the integrated identification string to the multichannel signal receiver according to the selection of the corresponding communication channel;
s106: receiving the integrated identification string, and transmitting the integrated identification string and the corresponding integrated type to the data fusion module;
s107: storing assignment tables corresponding to the integration types of the integrated identification strings one by one, wherein the assignment tables comprise assignment data representing the integration symbols on the time axis nodes in the corresponding integrated identification strings;
s108: matching a corresponding assignment table according to the integration type of the integrated identification string, constructing a monitoring curve graph according to the time axis node sequence after assigning value data in the assignment table according to the integration identifier in the integrated identification string, and transmitting the monitoring curve graph to a display module;
s109: displaying the monitoring curve graph in real time;
the first database stores adjacent span range values and interval span range values which are set in one-to-one correspondence with the symbol identification strings;
calculating a first span value between adjacent characteristic symbols in the symbol identification string and a second span value between two characteristic symbols spaced by a time axis node, comparing and analyzing the first span value with an adjacent span range value and the second span value with a spaced span range value to obtain an initial processing result, and generating a corresponding integrated signal according to the initial processing result;
when the first span value and the second span value of the symbol identification string are both qualified, generating an integrated signal of which the corresponding symbol identification string participates in integration;
and when any one of the first span value and the second span value of the symbol identification string is unqualified, generating an integrated signal of which the corresponding symbol identification string does not participate in integration.
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