CN110192737B - Intelligent shaking table control system and control method thereof - Google Patents
Intelligent shaking table control system and control method thereof Download PDFInfo
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- CN110192737B CN110192737B CN201910528477.XA CN201910528477A CN110192737B CN 110192737 B CN110192737 B CN 110192737B CN 201910528477 A CN201910528477 A CN 201910528477A CN 110192737 B CN110192737 B CN 110192737B
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C17/00—Sofas; Couches; Beds
- A47C17/04—Seating furniture, e.g. sofas, couches, settees, or the like, with movable parts changeable to beds; Chair beds
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47D—FURNITURE SPECIALLY ADAPTED FOR CHILDREN
- A47D9/00—Cradles ; Bassinets
- A47D9/02—Cradles ; Bassinets with rocking mechanisms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses an intelligent shaking table control system and a control method thereof, which relate to the technical field of medical treatment, wherein the intelligent shaking table control system comprises a shaking table, a servo motor unit for enabling the shaking table to act and a motor controller, and is characterized in that: the sleep and physiological monitoring system is used for collecting and analyzing sleep and physiological data of a patient on which the cradle is lying and transmitting the data to the distributed cloud platform, and the distributed cloud platform is used for carrying out on-line diagnosis on the patient through data analysis and providing proper motor control parameters to the motor controller so that the cradle acts under the driving of the motor and further improves the sleep quality of the patient. The intelligent control of the cradle achieves the purposes of accelerating sleep and improving sleep quality. The system is not only suitable for children, but also helps to improve sleep quality of adults, and helps patients to manage sleep health of the adults. Can intelligently diagnose and treat sleep disorder patients such as insomnia, sleep apnea and the like, and output personalized feedback reports to help improve sleep conditions.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to an intelligent shaking table control system and a control method thereof.
Background
Sleep is an essential process for life, is an important link for organism restoration, integration and memory consolidation, and is an indispensable component for health. Poor sleep can lead to sleep, tiredness, faint, depression, irritability, low learning ability, abnormal judgment, slow reaction, inattention and easy traffic accidents in the daytime; causing diseases such as immunity decrease, cardiovascular diseases, diabetes, endocrine disturbance, depression, gastrointestinal problems, accelerated aging, sexual hypofunction, etc. The mental relaxation before sleeping, good eating habit, good sleeping environment, reasonable sleeping posture, compliance with biological clock and the like are beneficial to sleeping.
Shaking is an external stimulus commonly used to promote sleep, especially for small babies. When a baby crys, a plurality of mothers can hold the baby, walk, shake and sleep, so that a special sleeping tool such as a cradle is generated in the past. The infant's brain nerves can be regulated smoothly and fall asleep quickly. In the test, the time for the electric cradle to fall asleep is 2-4 minutes earlier than that of the traditional manual cradle. The expert proves that the swing amplitude of the traditional manual cradle is unstable, the swing speed is also unstable, and dizziness and milk spitting phenomena are easy to occur in the shaking process. Aurore Perrault and Laurence Bayer et al, university of Nitrowa, studied 8 men and 10 women without sleep disorders, found that a back and forth (0.25 Hz) lateral sloshing of 4 seconds promoted sleep. Under shaking, people fall asleep faster, sleep quality is higher, people are less prone to waking up, and even memory can be enhanced. Different individuals have differences in swing modes, speed and time control due to the influence of age, sex, physical state and the like. However, at present, no shaking table has been known which can automatically adjust the swinging speed and amplitude well, so as to help the patient with sleep disorder to fall asleep quickly and improve the sleep quality effectively.
Disclosure of Invention
The invention provides an intelligent shaking table control system and a control method thereof, and mainly aims to solve the problems in the prior art.
The invention adopts the following technical scheme:
an intelligent shaking table control system comprises a shaking table, a servo motor unit for enabling the shaking table to act and a motor controller; the sleep and physiological monitoring system is used for collecting and analyzing sleep and physiological data of a patient on which the cradle is lying, transmitting the data to the distributed cloud platform, and the distributed cloud platform is used for diagnosing the patient on line through data analysis and providing proper motor control parameters to the motor controller so that the cradle acts under the driving of the motor to further improve the sleep quality of the patient.
Further, the sleep and physiology monitoring system comprises a low-load sleep monitoring device.
Further, the low-load sleep monitoring apparatus includes a piezoelectric sensing mattress, a radar sensing device placed on the swing frame, or/and a WatchPAT.
A control method of an intelligent shaking table comprises the following steps: (1) Inputting the basic condition and medical history of the patient into the distributed cloud platform by a doctor or a patient; (2) The method comprises the steps that a Polysomnography (PSG) is used for carrying out primary acquisition on sleep and physiological data of a patient, a doctor gives out primary diagnosis results according to the primary acquisition data and the inquiry of the patient, and the primary diagnosis results are input into a distributed cloud platform; (3) The distributed cloud platform gives a secondary diagnosis result through a real-time sleep stage algorithm, an expert knowledge base and comprehensive consideration of the basic condition, medical history and initial diagnosis result of a patient, wherein the secondary diagnosis result comprises the type of sleep fault obtained by the patient and initial motor control parameters; (4) The distributed cloud platform sends the initial motor control parameters to the motor controller, the sleep and physiological monitoring system collects and analyzes sleep and physiological data of a patient lying on the cradle, and the motor controller controls the action of the servo motor unit according to the initial motor control parameters, so that the cradle acts.
Further, the method also comprises the following steps: (5) The distributed cloud platform regularly and gradually adjusts the initial motor control parameters so as to adjust the swinging mode, the swinging speed and/or the swinging amplitude of the swinging bed; simultaneously, the sleeping and physiological data of the patient lying on the rocking bed are acquired in real time by adopting low-load sleeping monitoring equipment and transmitted to the distributed cloud platform; (6) The distributed cloud platform obtains corresponding sleep parameters through calculating and analyzing the sleep and physiological data obtained in the step (5), so as to judge the change of the sleep condition of the patient, and a group of motor control parameters for effectively improving the sleep quality of the patient are screened out from the parameters; (7) The distributed cloud platform sends the screened motor control parameters to a motor controller, and the motor controller controls the action of the servo motor unit according to the motor control parameters, so that the cradle acts; and simultaneously, the motor controller is used for storing the diagnosis result to replace the initial motor control parameters.
In the step (5), the swing mode of the swing bed may be a pendulum arc swing or a swing in the same horizontal plane.
Further, the sleep and physiological data includes body temperature, respiratory rate, pulse rate and heart rate, and the sleep parameters include sleep time, total length of sleep, length of each sleep session and the ratio of the sleep to the whole sleep.
Further, the method also comprises the step (8): the distributed cloud platform stores and manages data of different patients in a classified mode according to the type of sleep fault, and a large database is built.
Compared with the prior art, the invention has the beneficial effects that:
the invention collects and analyzes sleep and physiological data through the sleep and physiological monitoring system and sends the sleep and physiological data to the distributed cloud platform for data management, the distributed cloud platform generates a diagnosis report and a treatment scheme through a real-time sleep stage algorithm and an expert knowledge base, and the action of a servo motor unit of the cradle is controlled on line so as to adjust the swing mode, swing speed and/or swing amplitude of the cradle. The intelligent control of the cradle achieves the purposes of accelerating sleep and improving sleep quality. The system is not only suitable for children, but also helps to improve sleep quality of adults, and helps patients to manage sleep health of the adults. The system may act as a "screener" to help the patient identify potential sleep problems while helping the patient manage their sleep health. Can intelligently diagnose and treat sleep disorder patients such as insomnia, sleep apnea and the like, and output personalized feedback reports to help improve sleep conditions.
Drawings
Fig. 1 is a block diagram of the structure of the present invention.
FIG. 2 is a schematic diagram showing the front view of the cradle according to the present invention.
FIG. 3 is a schematic side view of the cradle of the present invention.
Detailed Description
Specific embodiments of the present invention will be described below with reference to the accompanying drawings. Numerous details are set forth in the following description in order to provide a thorough understanding of the present invention, but it will be apparent to one skilled in the art that the present invention may be practiced without these details.
Referring to fig. 1, 2 and 3, an intelligent shaker control system includes a shaker, a servo motor unit for actuating the shaker, and a motor controller. The following embodiments may be adopted for the specific structure of the cradle, but the specific structure of the cradle is not limited to the following description:
referring to fig. 2 and 3, the cradle includes a base 1, a support base 2 and a bed plate 3. The base 1 is fixedly arranged on the ground, so as to facilitate moving the cradle, the lower end of the base 1 can be provided with a plurality of universal wheels 11 with foot brakes, the base 1 can be a frame formed by splicing a plurality of steel bars in a crisscross manner, and the base can also be a thicker steel plate.
Referring to fig. 2 and 3, a support base 2 is horizontally provided at an upper end of a base 1 so as to be horizontally movable left and right. Specifically, the supporting seat 2 is disposed on the base 1 through two electric screw sliding tables 4 capable of moving horizontally left and right, and the two electric screw sliding tables 4 share a first servo motor (not shown in the figure) to cooperate with a transmission shaft (not shown in the figure) to realize synchronous operation. The rail of the electric screw rod sliding table 4 is fixedly arranged on the upper end face of the base 1, each electric screw rod sliding table 4 is provided with two sliding blocks, and the sliding blocks are fixedly arranged on the lower end face of the supporting seat 2. Because the specific structure of the electric screw rod sliding table 4 and the mode that the first servo motor synchronously drives the two electric screw rod sliding tables 4 through the transmission shaft all belong to the prior art, a person skilled in the art can implement according to the purpose to be achieved by the application and combine the prior art, and therefore the specific structure and the synchronous mode of the two electric screw rod sliding tables 4 are not repeated.
Referring to fig. 2 and 3, the bed plate 3 is swingably supported on the support base 2 in a left-right arc shape. Specifically, the first pivot seats 21 are respectively arranged at the head and tail ends of the supporting seat 2, the second pivot seats 32 are respectively arranged at the head and tail ends of the bed plate 3, and the second pivot seats 32 are rotatably arranged on the first pivot seats 21 through pin shafts. The lower end face of the bed board 3 is provided with a circular arc plate 31, and the cambered surface of the circular arc plate 31 is provided with a plurality of teeth (not shown in the figure) in an arrayed manner. The supporting seat 2 is provided with an arc-shaped groove 22 matched with the arc-shaped plate 31, the supporting seat 2 is also provided with a first mounting groove 221 and a second mounting groove 222, the first mounting groove 221 is communicated with the arc-shaped groove 22, a transmission gear 5 is rotatably arranged in the first mounting groove 221, and the gear 5 and the arc-shaped plate 31 are meshed with each other. The second mounting groove 222 is fixedly arranged in the second servo motor 6, and an output shaft of the second servo motor 6 is connected with a rotating shaft of the gear 5. When the second servo motor 6 rotates, the gear 5 drives the circular arc-shaped plate 31 to rotate back and forth, so that the bed plate 3 swings back and forth. In order to prevent the bed plate 3 from swinging at will, the second servo motor 6 should be selected to have a self-locking function.
Referring to fig. 1, the intelligent cradle control system further includes a sleep and physiological monitoring system and a distributed cloud platform electrically connected to each other. The sleep and physiology monitoring system comprises low-load sleep monitoring equipment, wherein the low-load sleep monitoring equipment comprises products such as a piezoelectric sensing mattress, a radar sensing device or/and a WatchPAT, and the like, and the radar sensing device is placed on the shake bed frame. The watch pat is worn on the patient's hand. The piezoelectric sensing mattress is internally provided with a piezoelectric sensor array for collecting signals, the signals of the piezoelectric sensor array are analyzed through a multi-layer filter to obtain the desired sleep and physiological data, and then the desired sleep and physiological data are sent to the distributed cloud platform.
Referring to fig. 1, the control method of the intelligent shaking table control system includes the following steps:
(1) The patient's basic condition and medical history are entered into the distributed cloud platform by a doctor or patient.
(2) And (3) primarily collecting sleep and physiological data of the patient by using a Polysomnography (PSG), giving primary diagnosis results by doctors according to the primarily collected data and the polling diagnosis of the patient, and inputting the primary diagnosis results into the distributed cloud platform. Wherein the sleep and physiological data includes body temperature, respiratory rate, pulse rate and heart rate frequency.
(3) The distributed cloud platform gives a secondary diagnosis result through a real-time sleep stage algorithm, an expert knowledge base and comprehensive consideration of the basic condition, medical history and initial diagnosis result of the patient, wherein the secondary diagnosis result comprises the type of sleep fault obtained by the patient and initial motor control parameters.
(4) The distributed cloud platform sends the initial motor control parameters to the motor controller, the sleep and physiological monitoring system collects and analyzes sleep and physiological data of a patient lying on the cradle, and the motor controller controls the action of the servo motor unit according to the initial motor control parameters, so that the cradle acts.
(5) The distributed cloud platform regularly and gradually adjusts the initial motor control parameters so as to adjust the swinging mode, the swinging speed and/or the swinging amplitude of the swinging bed; and meanwhile, the sleeping and physiological data of the patient lying on the rocking bed are acquired in real time by adopting the low-load sleeping monitoring equipment and are transmitted to the distributed cloud platform. The swinging mode of the swinging bed can be pendulum arc swinging or swinging in the same horizontal plane.
(6) The distributed cloud platform obtains corresponding sleep parameters through calculating and analyzing the sleep and physiological data obtained in the step (5), so as to judge the change of the sleep condition of the patient, and a group of motor control parameters for effectively improving the sleep quality of the patient are screened out. Wherein, the sleep parameters comprise the time of falling asleep, the time of sleeping and the duration of each sleep period so as to occupy the whole sleeping period.
Human sleep can be divided into two stages of rapid eye movement sleep (REM) and non-rapid eye movement sleep (NREM), wherein the non-rapid eye movement sleep (NREM) can be further divided into three sub-stages of N1, N2 and N3 according to brain waves. N1 and N2 phases are generally considered to be light sleep, N3 phase is deep sleep, and various nightmares, dreams, spring dreams, all occur during the rapid eye movement sleep phase. In normal sleep overnight, non-rapid eye movement sleep (NREM) is gradually deepened after sleeping, N3 is entered, N2 is used for transition to rapid eye movement sleep, and the cycle is repeated. Normally, N3 is more in the first half of night deep sleep, N3 gradually decreases by the latter half, and rapid eye movement sleep (REM) in dream gradually increases. Thus, an increase in the duration of N3 may improve sleep quality. Therefore, improving sleep quality mainly prolongs the time of the deep sleep stage, and increases the duty ratio of the total duration of deep sleep in the whole sleep. The distributed cloud platform obtains corresponding sleep parameters through calculating and analyzing the sleep and physiological data obtained in the step (5), and finds out motor control parameters which are helpful for prolonging the deep sleep time, namely a swing mode, a swing speed and/or a swing amplitude of the swing bed which are helpful for improving the sleep quality.
(7) The distributed cloud platform sends the screened motor control parameters to a motor controller, and the motor controller controls the action of the servo motor unit according to the motor control parameters, so that the cradle acts; and simultaneously, the motor controller is used for storing the diagnosis result to replace the initial motor control parameters.
(8) The distributed cloud platform stores and manages data of different patients in a classified mode according to the type of sleep fault, and a large database is built.
In summary, the invention collects and analyzes sleep and physiological data through the sleep and physiological monitoring system and sends the data to the distributed cloud platform for data management, the distributed cloud platform generates a diagnosis report and a treatment scheme through a real-time sleep staging algorithm and an expert knowledge base, and the action of the servo motor unit of the shaking table is controlled on line so as to adjust the swinging mode, swinging speed and/or swinging amplitude of the shaking table. The intelligent control of the cradle achieves the purposes of accelerating sleep and improving sleep quality. The system is not only suitable for children, but also helps to improve sleep quality of adults, and helps patients to manage sleep health of the adults. The system may act as a "screener" to help the patient identify potential sleep problems while helping the patient manage their sleep health. Can intelligently diagnose and treat sleep disorder patients such as insomnia, sleep apnea and the like, and output personalized feedback reports to help improve sleep conditions.
The foregoing is merely illustrative of specific embodiments of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modification of the present invention by using the design concept shall fall within the scope of the present invention.
Claims (5)
1. The intelligent cradle control system comprises a cradle, a servo motor unit and a motor controller, and also comprises a sleep and physiological monitoring system and a distributed cloud platform which are electrically connected with each other, wherein the sleep and physiological monitoring system is used for collecting and analyzing sleep and physiological data of a patient on which the cradle is laid and transmitting the data to the distributed cloud platform, and the distributed cloud platform is used for carrying out online diagnosis on the patient through data analysis and providing proper motor control parameters to the motor controller so as to enable the cradle to act under the driving of a motor and further improve the sleep quality of the patient, and the control method comprises the following steps: (1) Inputting the basic condition and medical history of the patient into the distributed cloud platform by a doctor or a patient; (2) The method comprises the steps that a Polysomnography (PSG) is used for carrying out primary acquisition on sleep and physiological data of a patient, a doctor gives out primary diagnosis results according to the primary acquisition data and the inquiry of the patient, and the primary diagnosis results are input into a distributed cloud platform; (3) The distributed cloud platform gives a secondary diagnosis result through a real-time sleep stage algorithm, an expert knowledge base and comprehensive consideration of the basic condition, medical history and initial diagnosis result of a patient, wherein the secondary diagnosis result comprises the type of sleep fault obtained by the patient and initial motor control parameters; (4) The distributed cloud platform sends the initial motor control parameters to a motor controller, and the motor controller controls the action of a servo motor unit according to the initial motor control parameters so as to enable the cradle to act; (5) The distributed cloud platform regularly and gradually adjusts the control parameters of the initial motor so as to adjust the swinging mode, the swinging speed and/or the swinging amplitude of the swinging table, wherein the swinging mode of the swinging table swings on the same horizontal plane; simultaneously, the sleeping and physiological data of the patient lying on the rocking bed are acquired in real time by adopting low-load sleeping monitoring equipment and are transmitted to the distributed cloud platform; (6) The distributed cloud platform obtains corresponding sleep parameters through calculating and analyzing the sleep and physiological data obtained in the step (5), so as to judge the change of the sleep condition of the patient, and a group of motor control parameters for effectively improving the sleep quality of the patient are screened out from the parameters; (7) The distributed cloud platform sends the screened motor control parameters to a motor controller, and the motor controller controls the action of the servo motor unit according to the motor control parameters, so that the cradle acts; and simultaneously, the motor controller is used for storing the diagnosis result to replace the initial motor control parameters.
2. The control method of an intelligent shaking table according to claim 1, wherein: the sleep and physiological monitoring system includes a low load sleep monitoring device.
3. The control method of an intelligent shaking table according to claim 2, wherein: the low load sleep monitoring device includes a piezoelectric sensing mattress, a radar sensing device, or/and a WatchPAT, the radar sensing device being placed on the swing frame.
4. The control method of an intelligent shaking table according to claim 1, wherein: the sleep and physiological data includes body temperature, respiratory rate, pulse rate and heart rate frequency, and the sleep parameters include sleep onset time, total sleep duration, duration of each sleep session, and the duty cycle throughout sleep.
5. The method for controlling an intelligent shaking table according to any one of claim 1, further comprising the step (8): the distributed cloud platform stores and manages data of different patients in a classified mode according to the type of sleep fault, and a large database is built.
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| CN115212422B (en) * | 2022-07-05 | 2023-04-14 | 四川脑科学与类脑智能研究院 | Sleep regulation and control system and method based on shaking stimulation |
| CN115590478B (en) * | 2022-11-28 | 2023-05-09 | 中南大学湘雅医院 | Automatic auxiliary test equipment based on brain cognitive analysis of diabetics |
| CN115813142A (en) * | 2022-12-06 | 2023-03-21 | 崔立宏 | Intelligent control long sitting and lying furniture |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1319808A (en) * | 2000-02-03 | 2001-10-31 | 姚亦鸣 | Medical health care system based on network structure |
| CN109887589A (en) * | 2019-02-21 | 2019-06-14 | 吉林禾熙科技开发有限公司 | Artificial intelligence medical treatment big data system |
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| CN102043385A (en) * | 2010-10-09 | 2011-05-04 | 浙江大学 | User sleeping state-based household appliance control device and control method |
| CN104127947A (en) * | 2014-07-02 | 2014-11-05 | 谭清 | Sleep management application system and method |
| CN104188638B (en) * | 2014-09-09 | 2016-08-24 | 喜临门家具股份有限公司 | A kind of sleep safeguards system |
| US20170318978A1 (en) * | 2016-05-04 | 2017-11-09 | James Flemister | Smart Rocking Bed Device and System |
| CN106617901B (en) * | 2016-12-23 | 2018-12-18 | 武汉语梦科技发展有限公司 | A kind of electric massage shaking table with monitoring function |
| CN107928250A (en) * | 2017-11-22 | 2018-04-20 | 宁波德葳智能科技有限公司 | A kind of contactless millimeter wave intelligence bassinet |
| CN108851766B (en) * | 2018-06-27 | 2022-03-22 | 华东理工大学 | Multifunctional novel baby cradle based on intelligent recognition system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1319808A (en) * | 2000-02-03 | 2001-10-31 | 姚亦鸣 | Medical health care system based on network structure |
| CN109887589A (en) * | 2019-02-21 | 2019-06-14 | 吉林禾熙科技开发有限公司 | Artificial intelligence medical treatment big data system |
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