CN210990210U - Non-inductive sleep monitoring device and monitoring system - Google Patents
Non-inductive sleep monitoring device and monitoring system Download PDFInfo
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- CN210990210U CN210990210U CN201921008913.2U CN201921008913U CN210990210U CN 210990210 U CN210990210 U CN 210990210U CN 201921008913 U CN201921008913 U CN 201921008913U CN 210990210 U CN210990210 U CN 210990210U
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Abstract
The utility model discloses a no inductance formula sleep monitor device and monitoring system, including following module: the signal acquisition module is used for acquiring real-time physiological signals of the object to be detected; the signal characteristic extraction module is used for carrying out information processing on the received real-time physiological signal of the object to be detected; the sleep analysis module is used for receiving the processing data of the signal characteristic extraction module and carrying out sleep analysis; and the monitoring end software module is used for displaying the received physiological signals and the sleep analysis result. The utility model discloses can gather target crowd's rhythm of the heart, respiratory rate, body movement, leave the bed/at information such as bed state, according to the sleep quality evaluation universality standard that cooperation hospital sleep center provided, set up health status exception alarm, assess and generate the report to the sleep status, the main applied scene of product is for endowment mechanism and ordinary family two aspects.
Description
Technical Field
The utility model belongs to the technical field of the medical treatment and specifically relates to a no inductance formula sleep monitor device and monitoring system.
Background
Sleep is an important way for the body to self-regulate, and approximately 1/3 hours of a person's life is spent asleep. The quality of sleep is directly related to the health of human body, and the life quality of human is influenced. The good sleep can not only eliminate fatigue and recover physical strength, but also is beneficial to improving the immunity of the human body and delaying senility; on the contrary, the function of each organ in the human body is unbalanced due to the bad sleep, so that the body is easy to feel uncomfortable, and further, the normal life and work of people are influenced, and various sleep diseases are easy to be induced after the people live for a long time.
With the increasing awareness of the public about sleep health, the sleep problem has become one of the most concerned problems, and people are looking for various sleep monitoring methods to provide technical bases for improving sleep quality and intervening sleep-related diseases through sleep quality assessment. Through long-time sleep monitoring, on the one hand, people can be helped to know the sleep condition, the sleep problem can be found as early as possible, and then the bad sleep habit is changed, so that the effect of improving the sleep condition is achieved. On the other hand, sleep monitoring can help patients to find disease problems due to sleep disorders early and to keep track of the best time to treat the disease.
The most authoritative of the traditional sleep monitoring methods is a polysomnography sleep monitoring system (PSG), which is called as "gold standard" in the field of sleep monitoring, and the sleep monitoring methods further comprise wearable sleep monitoring products, a micro-motion sensitive mattress type sleep monitoring system, video sleep monitoring and the like. The polysomnography system can monitor sleep stages and conditions, has high accuracy, but has high use cost and large volume.
In another sleep monitoring product in the prior art, a user needs to wear the sleep monitoring product during sleeping, which brings foreign body sensation to the user and affects the sleep of the user, or the accuracy of the sleep monitoring product is not high and the use of the user is affected due to incomplete functions.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that the not enough of background art provides a no inductance formula sleep monitor device and monitoring system, can be under the contactless condition, gather target crowd's rhythm of the heart, respiratory rate, body movement, leave the bed or at information such as bed state.
The utility model discloses a solve above-mentioned technical problem and adopt following technical scheme:
a non-inductive sleep monitoring device comprises a sleep monitoring belt, a cloud server and mobile terminal software;
the sleep monitoring belt comprises a resistance film pressure sensor and a piezoelectric film sensor, the sleep monitoring belt is connected with a conditioning circuit and a WIFI module box through a connecting wire, and the conditioning circuit and the WIFI module box are connected to a power supply.
Further, the resistance film pressure sensor and the piezoelectric film sensor are wrapped together by two filling layers of the sleep monitoring belt.
Furthermore, the outer side of the sleep monitoring belt filling layer is wrapped with a waterproof material outer layer of the sleep monitoring belt.
An sensorless sleep monitoring system comprising the following modules:
the signal acquisition module is used for acquiring real-time physiological signals of the object to be detected;
the signal characteristic extraction module is used for carrying out information processing on the received real-time physiological signal of the object to be detected;
the sleep analysis module is used for receiving the processing data of the signal characteristic extraction module and carrying out sleep analysis;
and the monitoring end software module is used for displaying the received physiological signals and the sleep analysis result.
Further, the electric signal acquisition module comprises at least one of an acquisition module for acquiring the heartbeat BCG signal and an acquisition module for acquiring the body movement.
Furthermore, the acquisition module for acquiring the BCG signal further comprises a BCG signal conditioning circuit module, and the BCG signal conditioning circuit module comprises a charge integration amplifier, a second-order high-pass filter, a fourth-order low-pass filter and a voltage amplifier.
Further, the signal feature extraction module comprises a TMS320 control chip.
Furthermore, the signal acquisition module is a sleep monitoring band, the sleep analysis module is a cloud server, and the monitoring end software module is mobile end software.
The utility model adopts the above technical scheme to compare with prior art, have following technological effect:
1. non-contact non-inductive physiological data acquisition. For other devices, the utility model discloses place in the mattress below, record human physiology characteristic signal under the state of not constraining.
2. The piezoelectric and piezoresistive dual-mode composite measurement has the advantages that the piezoelectric sensor effectively collects human body physiological characteristic BCG signals, the piezoresistive sensor effectively judges the change of human body state, and multi-characteristic input is more accurate to obtain sleep stage analysis and sleep quality reports.
3. The utility model discloses can gather target crowd's rhythm of the heart, respiratory rate, body movement, leave the bed/at information such as bed state, according to the sleep quality evaluation universality standard that cooperation hospital sleep center provided, set up health status exception alarm, assess and generate the report to the sleep status, the main applied scene of product is for endowment mechanism and ordinary family two aspects. For the old care organization, the product can effectively help nursing staff to carry out disease screening, turning-over nursing and abnormal health warning on the old; for a common family, the system can help a user to check the health state in real time and receive a health abnormity warning in real time, and can perform online diagnosis on people with poor sleep/health state and also can go to a hospital for medical treatment by being associated with online doctor software.
Drawings
FIG. 1 is a schematic overall structure diagram according to a first embodiment;
FIG. 2 is a schematic structural diagram of a sleep monitor band according to an embodiment;
fig. 3 is a schematic block flow diagram of the second embodiment.
In the figure, 1, a sleep monitoring belt, 2, a connecting wire, 3, a conditioning circuit, a WIFI module box, 4, a connecting wire, 5, a plug, 1-1, a resistance film pressure sensor, 1-2, a piezoelectric film sensor, 1-3, a sleep monitoring belt filling layer, 1-4 and a sleep monitoring belt waterproof material outer layer.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.
An embodiment I, the utility model discloses a no inductance formula sleep monitor device, as shown in fig. 1 and 2, including sleep monitoring area, cloud ware, removal end software triplex. The sleep monitoring area is rectangular shape, flexibility, is connected with processing circuit through the wire, and processing circuit and WIFI module box 3 encapsulation are in flat shell, and processing circuit and WIFI module box 3's the other end is power plug, can directly insert in domestic 220V socket. The sleep monitoring belt comprises a flexible piezoelectric film sensor and a flexible resistance type film pressure sensor, and the thickness of the flexible resistance type film pressure sensor is smaller than 0.4 mm. The piezoelectric film sensor collects human body heartbeat BCG signals, the resistance type film pressure sensor is provided with a plurality of independent sensing units, and pressure values of the sensing units at all times can be obtained through the scanning circuit, so that information of body movement, sleep posture recognition, bed on/off and the like of a human body can be obtained. Data are sent to a cloud server end through a WIFI network or a GSM network, the cloud server end analyzes the BCG signal of the heartbeat of the human body to obtain the respiratory rate/heart rate of the human body, the sleep stage is analyzed by combining the information of the body movement, the sleep posture and the like of the human body, and a quasi-medical sleep analysis report can be sent out for a client. The cloud server stores and downloads the analyzed result to the user mobile terminal, the user can check the respiration rate, the heart rate, the sleep analysis report and the like at any time, and in addition, when the respiration rate/the heart rate exceeds a set range, the equipment can give an alarm and feed back for reminding.
Using the logic:
when in use, the sleep monitoring belt is placed between the mattress and the bed board and is 70cm away from the top of the mattress. When a person lies on the mattress, the chest is directly above the sleep monitoring belt. The piezoelectric film sensor in the sleep monitoring belt collects human body heartbeat BCG signals, and the resistance type film pressure sensor collects human body movement information, sleep posture identification, information of bed on/off and the like. Data are sent to a cloud server end through a WIFI network or a GSM network, the cloud server end analyzes the BCG signal of the heartbeat of the human body to obtain the respiratory rate/heart rate of the human body, the sleep stage is analyzed by combining the information of the body movement, the sleep posture and the like of the human body, and a quasi-medical sleep analysis report can be sent out for a client. The cloud server stores and downloads the analyzed result to the user mobile terminal, the user can check the respiration rate, the heart rate, the sleep analysis report and the like at any time, and in addition, when the respiration rate/the heart rate exceeds a set range, the equipment can give an alarm and feed back for reminding.
An embodiment two, the utility model provides a non-inductive sleep monitoring system, as shown in fig. 1, 2 and 3, including the signal acquisition module who gathers the real-time physiological signal of the awaited measuring object, through data transmission module with signal transmission for accept and handle the signal characteristic extraction module of the real-time physiology of the awaited measuring object, carry out sleep analysis's sleep analysis module according to the awaited measuring object physiological signal who records in the high in the clouds, data transmission module is with the physiological signal characteristic respiratory rate/rhythm of the heart that records to and the result transmission of sleep analysis shows to monitoring end software module.
The signal acquisition module is connected with the signal characteristic extraction module and the sleep analysis module through the data transmission module, and the signal characteristic extraction module and the sleep analysis module are connected with the monitoring end software module through the data transmission module.
The signal acquisition module is used for acquiring real-time physiological signals of a to-be-detected object, and the acquisition module specifically comprises at least one of an acquisition module for acquiring heartbeat BCG signals and an acquisition module for acquiring body movement. Specifically, for the heartbeat BCG signal, the heart pumping blood will change the stress of the supporting object in close contact with the human body, and the recorded heart pumping blood is called as a ballistocardiogram, and the contained information has important significance for the diagnosis of heart diseases. Information such as respiratory rate, rhythm of the heart can be obtained through analysis BCG signal, when motion and mood are excited, can make respiratory rate, rhythm of the heart increase, and rest, then slow down during sleep, when having the sleep problem, respiratory rate and rhythm of the heart also can take place unusually. For body motion physiological signals: during waking, the body movement physiological signals are most obvious and frequent, and occasional non-obvious body movement behaviors may exist at other times, but the occurrence frequency is lower and the action amplitude is smaller compared with that during waking, so that the waking period and the sleeping period can be effectively distinguished. Specifically, the method comprises the following steps: when the piezoelectric film sensor 1-2 is positioned right below the chest of the human body, BCG signals of the human body can be collected; when the resistance type pressure film sensor 1-1 is positioned below a human body, the pressure film sensor comprises a plurality of independent sensing units, and the pressure value of each sensing unit can be displayed in real time, so that the body movement information of the human body can be measured.
In order to obtain an accurate ballistocardiogram signal, a BCG signal conditioning circuit module is designed, the module comprises a charge integration amplifier, a second-order high-pass filter, a fourth-order low-pass filter and a voltage amplifier, a data processing module can comprise a TMS320 control chip, the basic structure of the TMS320 series DSP chip comprises a Harvard structure, pipeline operation, a special hardware multiplier, a special DSP instruction and a quick instruction cycle, and the characteristics enable the TMS320 series DSP chip to realize quick DSP operation and enable most of the operation to be completed in one instruction cycle. The acquired electrocardiosignals and pressure signals obtained by the resistance-type film pressure sensor are processed by the DSP to obtain basic information such as heart rate/respiration rate/body movement value/pressure distribution and the like, and the basic information is uploaded to a cloud server for operation processing to obtain reports such as sleep quality/sleep habit and the like.
According to the specific implementation scheme, the tested object lies on the mattress, the sleep monitoring belt 1 is placed between the mattress and the bed board and is 40-70cm away from the top of the mattress, and therefore the sleep monitoring belt 1 is located below the chest of the tested object. The piezoelectric film sensor 1-2 can obtain BCG signals of the heart impact of a measured object, the BCG signals are complex and contain various human body physiological parameter information such as heartbeat, respiration and body movement, and the respiration rate and the heart rate can be obtained by analyzing the BCG signals of the electrocardio. The resistance-type film sensor 1-1 comprises a plurality of independent sensing units, the pressure value of each sensing unit can be obtained in real time through a scanning circuit, and when a measured object moves, the pressure value of each sensing unit can change, so that the body movement value can be measured, and the sleeping posture can be identified. Wherein the sensor can be wrapped by the sleep monitoring belt filling layer 1-3, and the waterproof material outer layer 1-4 of the sleep monitoring belt can prevent water from entering the interior and contacting the sensor. The sensor in the sleep monitoring area 1 converts pressure signals into electrical signals, and transmits the signals to the conditioning circuit and the WIFI module box 3 through the connecting wire 2, and the conditioning circuit and the WIFI module box 3 are connected to the power supply 5 through the connecting wire 4. The signal conditioning circuit is mainly used for weak signal amplification and noise signal filtering, and the charge quantity from the sensor is subjected to lossy integration, operational amplification, band-pass filtering, power frequency trapping, secondary amplification and polarity conversion to obtain a voltage signal meeting the AD processing requirement. And the data acquired by the information acquisition module is sent to the server through WIFI in a Socket flow mode.
The piezoelectric signals acquired by the information acquisition module comprise respiration signals and heart rate signals, the complete waveform with large amplitude in the piezoelectric signals is related to respiration, the frequency of the respiration signals is low compared with the frequency of the heart rate signals, the signal amplitude is large, the corresponding frequency spectrum energy is large, the respiration rate is calculated by adopting an autoregressive model power spectrum, an empirical mode decomposition algorithm can be used for extracting the heart rate, the heart rate is generally between 1Hz and 2Hz because the frequency of heart pulsation is higher than the frequency of respiration, the frequency of respiration is approximately limited between 0.2Hz and 0.8 Hz, and the heart rate signals can be extracted by using the empirical mode decomposition algorithm.
The piezoresistive thin film sensor is adopted to obtain piezoresistive signals, and the in-bed/out-of-bed state can be rapidly judged and the sleeping posture can be recognized through analyzing the pressure distribution information of different positions.
The study on sleep stages has great significance for preventing and detecting sleep diseases, and the interference-free sleep monitoring is beneficial to reflecting real sleep stage results, is more beneficial to treating sleep related diseases, and can reduce physical and psychological pressure born in the rehabilitation process. For the identification of sleep stages, the project adopts a convolutional neural network algorithm based on multiple physiological parameters, and designs a convolutional neural network classifier by using the data such as the body movement, the heart rate, the respiratory rate and the like measured above and taking the physiological parameters as characteristics. The convolution neural network is a neural network with multi-layer supervision, the physiological parameter data is directly input into the network without artificial design characteristics, and the staging result is obtained at the output end.
The information of the heart rate, the breathing rate, the body movement, the sleep stage and the like of the tested object can be obtained on the server through the analysis, and the information cooperates with medical institutions to provide a sleep analysis report. The above information is sent to a display interface,
the display interface comprises a mobile terminal and a PC terminal, real-time respiratory rate, heart rate, body movement value and sleep analysis report can be checked at any time by the tested object on the display interface of the mobile terminal, and real-time respiratory rate, heart rate, body movement value and sleep health analysis report of a plurality of tested objects can be checked by a mechanism manager at the PC terminal.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Above embodiment only is for explaining the utility model discloses a technical thought can not be injectd with this the utility model discloses a protection scope, all according to the utility model provides a technical thought, any change of doing on technical scheme basis all falls into the utility model discloses within the protection scope. Although the embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the scope of knowledge possessed by those skilled in the art.
Claims (8)
1. The utility model provides a no inductance type sleep monitor device which characterized in that: the system comprises a sleep monitoring band, a cloud server and mobile terminal software;
the sleep monitoring belt comprises a resistance film pressure sensor and a piezoelectric film sensor, the sleep monitoring belt is connected with a conditioning circuit and a WIFI module box through a connecting wire, and the conditioning circuit and the WIFI module box are connected to a power supply.
2. The device of claim 1, wherein: the resistance film pressure sensor and the piezoelectric film sensor are wrapped together by two filling layers of the sleep monitoring belt.
3. The device of claim 2, wherein: the outer side of the sleep monitoring belt filling layer is also wrapped with a sleep monitoring belt waterproof material outer layer.
4. A non-inductive sleep monitoring system is characterized in that: the system comprises the following modules:
the signal acquisition module is used for acquiring real-time physiological signals of the object to be detected;
the signal characteristic extraction module is used for carrying out information processing on the received real-time physiological signal of the object to be detected;
the sleep analysis module is used for receiving the processing data of the signal characteristic extraction module and carrying out sleep analysis;
and the monitoring end software module is used for displaying the received physiological signals and the sleep analysis result.
5. The system of claim 4, wherein: the signal acquisition module comprises at least one of an acquisition module for acquiring the heartbeat BCG signal and an acquisition module for acquiring the body movement.
6. The system of claim 5, wherein: the BCG signal acquisition module further comprises a BCG signal conditioning circuit module, and the BCG signal conditioning circuit module comprises a charge integration amplifier, a second-order high-pass filter, a fourth-order low-pass filter and a voltage amplifier.
7. The system of claim 4, wherein: the signal feature extraction module comprises a TMS320 control chip.
8. The system of claim 4, wherein: the signal acquisition module is a sleep monitoring belt, the sleep analysis module is a cloud server, and the monitoring end software module is mobile end software.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110169756A (en) * | 2019-07-01 | 2019-08-27 | 南京国科医工科技发展有限公司 | A kind of no-induction sleep monitoring device and monitoring system |
| CN113108441A (en) * | 2021-04-07 | 2021-07-13 | 中山大学 | Intelligent control method for air conditioner and air conditioner |
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2019
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110169756A (en) * | 2019-07-01 | 2019-08-27 | 南京国科医工科技发展有限公司 | A kind of no-induction sleep monitoring device and monitoring system |
| CN113108441A (en) * | 2021-04-07 | 2021-07-13 | 中山大学 | Intelligent control method for air conditioner and air conditioner |
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Effective date of registration: 20240408 Address after: 211300 No. 3 Gutan Avenue, Gaochun District, Nanjing, Jiangsu Patentee after: Nanjing Guoke Precision Medical Technology Co.,Ltd. Country or region after: China Patentee after: Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Address before: 211300 No. 3, ancient Tan Road, Gaochun District Economic Development Zone, Nanjing, Jiangsu Patentee before: NANJING GUOKE MEDICAL TECHNOLOGY DEVELOPMENT Co.,Ltd. Country or region before: China |