CN110680339A - Low-load multi-dimensional intelligent sleep monitoring screening method - Google Patents
Low-load multi-dimensional intelligent sleep monitoring screening method Download PDFInfo
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Abstract
The invention discloses a low-load multi-dimensional intelligent sleep monitoring screening method, which comprises the following steps: installing random electrode plates on two sensors of a head sticker and a chest sticker and starting up; respectively attaching two sensors of a head patch and a chest patch to the designated parts of the forehead and the chest of a patient; starting monitoring, wherein the monitoring indexes comprise reflection type blood oxygen measurement, forehead temperature monitoring, sleeping posture monitoring, snore monitoring and electrocardio monitoring; after monitoring is finished, opening mobile phone APP synchronous data to a cloud terminal; the cloud server finishes processing the data and sends a report to the mobile phone; the mobile phone APP displays the content of the sleep report, the mobile phone APP realizes a brief design through sensor separation, wearing can be simplified, the operation difficulty is reduced, a patient can independently measure, the sleep burden of the patient is reduced, multiple indexes of the human body are collected and analyzed during sleep, the mobile phone APP is convenient, rapid, time-saving and labor-saving, data are uploaded to the cloud end through connection of a smart phone, a report is calculated and generated and fed back to the patient, and visual sleep quality judgment is provided.
Description
Technical Field
The invention relates to the technical field of biological medical treatment, in particular to a low-load multi-dimensional intelligent sleep monitoring screening method.
Background
With the improvement of health care consciousness of people, the sleep quality is more and more concerned by people, the poor sleep quality can cause repeated arousal and the decrease of the blood oxygen saturation index, and the influence on the functions of the visceral organs of the body can be generated in the past to induce diseases such as hypertension, arrhythmia, myocardial infarction and the like. The existing sleep monitoring and screening method is generally carried out by adopting a multi-conduction sleep instrument, and the traditional multi-conduction sleep instrument usually adopts sensors such as dozens of electrodes and even twenty-many electrodes, a chest and abdominal belt and the like to collect a plurality of parameters such as electroencephalogram, electrocardio, blood oxygen, oral-nasal airflow, temperature and the like all night.
However, the conventional monitoring method still has many defects: 1. a plurality of sensors are required to be worn, so that the sleeping burden of a detected patient is increased, the sleeping difficulty is increased, and the monitoring result is deviated; 2. the sleep environment of the hospital is inconsistent with the environment owned by the patient, so that the sleep burden of the patient is also caused; 3. the wearing is complex, and a professional doctor needs to operate; 4. the data export is complex, and the report interpretation is obscure; 5. hospital appointments are required, are expensive, and cannot be monitored continuously for a long time. The reason for causing above-mentioned problem is that the polysomnography needs the data of gathering the multidimension degree to synthesize and judges, depends on a great deal of sensor for no matter wear to use or later stage analysis is very complicated, needs professional medical personnel, has increased the cost of using and maintaining. Therefore, it is urgently needed to develop a novel low-load multi-dimensional intelligent sleep monitoring screening method to solve the above technical problems.
In view of the above, the present invention is particularly proposed.
Disclosure of Invention
The invention aims to provide a low-load multi-dimensional intelligent sleep monitoring screening method, which realizes a simple design by separating sensors, can simplify wearing, reduce operation difficulty, enable a patient to independently measure and simultaneously reduce the sleep burden of the patient. The intelligent sleep quality evaluation system has the advantages that multiple indexes of a human body are collected and analyzed while the user sleeps, the intelligent sleep quality evaluation system is convenient, fast, time-saving and labor-saving, data are uploaded to the cloud end through the connection of the intelligent mobile phone, the calculation and the report generation are fed back to the patient, the visual sleep quality evaluation is provided, the wide application prospect is achieved, and the popularization and the application are facilitated.
In order to achieve the above object, the present invention provides a low-load multi-dimensional intelligent sleep monitoring screening method, which is characterized by comprising the following steps:
(1) installing random electrode plates on two sensors of a head sticker and a chest sticker and starting up;
(2) respectively attaching two sensors of a head patch and a chest patch to the designated parts of the forehead and the chest of a patient;
(3) starting monitoring, wherein the monitoring indexes comprise reflection type blood oxygen measurement, forehead temperature monitoring, sleeping posture monitoring, snore monitoring and electrocardio monitoring;
(4) after monitoring is finished, opening mobile phone APP synchronous data to a cloud terminal;
(5) the cloud server finishes processing the data and sends a report to the mobile phone;
(6) and displaying the sleep report content by the mobile phone APP.
Preferably, in step (3), the reflective oximetry measurement includes the steps of:
s1: after the device is started, the blood oxygen chip MAX86150 is initialized under the control of IIC communication;
s2: after the initialization is completed, 200Hz sampling is carried out on the red light and the infrared transmission reflection light through MAX 86150;
s3: after data sampling is finished, judging the sampled data, if the user wears the data correctly at the moment, filtering the AD sampled data through a low-pass filter, and then normalizing the filtered data, so that noise and large-range fluctuation in the original sampled data are removed;
s4: after filtering, searching wave crests for the flat data, calculating pulse rate according to the searched wave crest position, and calculating blood oxygen according to the absorption rate of red light and infrared transmission and reflection light;
s5: averaging the blood oxygen and the pulse rate by a nine-point averaging method to obtain a final result;
s6: the calculation result is recorded in a memory chip, and the blood oxygen, pulse rate and other data of the patient can be continuously obtained by repeating the steps.
Preferably, in the step (3), the forehead temperature monitoring comprises the following steps:
s1: after the equipment is started, initializing a CT1711 temperature sensor through a single-wire communication protocol;
s2: after the initialization is finished, waiting for the completion of the temperature conversion of the CT1711, and then reading a forehead temperature digital signal;
s3: the digital signals are judged, and the wrong conversion results are eliminated, so that the correct forehead temperature is obtained;
s4: carrying out five-point averaging on the obtained forehead temperature value to obtain a final calculation result;
s5: the calculation result is stored in a storage chip, and the forehead temperature data of the patient can be obtained by repeating the steps one second by one second.
Preferably, in step (3), the sleeping posture monitoring comprises the following steps:
s1: after the equipment is started, automatically initializing a BMA253 accelerometer chip through an IIC protocol;
s2: after the BMA253 is initialized, the fixed register of the chip is read at regular time to obtain the numerical values in the three directions of XYZ, the posture of the chip can be obtained according to the comparison of the numerical values in the directions, and then the sleeping posture of the patient is deduced;
s3: and after the sleeping posture of the patient is obtained, recording the result in the storage chip one second by one second, and repeating the steps to obtain the sleeping posture parameters of the patient one second by one second.
Preferably, in step (3), the snore monitoring comprises the following steps:
s1: after the device is started, the silicon oatmeal SPK0838HT4H is automatically initialized;
s2: then, carrying out timing sampling on the sound through PDM _ PCM, and accumulating the sound sampling values obtained through the silicon oatmeal within 1 s;
s3: when the accumulation period reaches 1s, scaling and normalizing the obtained result to be in the range of 0-255;
s4: after the sound intensity is obtained, the calculation result is stored in a storage chip, and the sound intensity parameters can be obtained by repeating the steps one second by one second.
Preferably, in step (3), the electrocardiographic monitoring comprises the following steps:
s1: after the equipment is started, the ECG chip ADS1292R can be automatically initialized through SPI communication;
s2: after initialization is completed, the electrocardio chip can continuously output the sampling numerical value of the electrocardio I channel;
s3: after a sampling numerical value is obtained, processing the sampling through a low-pass digital filter, filtering out clutter and mains supply interference, and obtaining a regular electrocardiographic waveform signal;
s4: searching the position of the R point of the QRS wave after detecting the program threshold, marking the position of the R1 point of the peak, and repeating the steps to obtain the position of the R2 point of the peak;
s5: obtaining an R-R interval through difference making, and calculating the heart rate;
s6: and after the calculation is finished, the heart rate and the RR interval are stored in a storage chip, and the heart rate and RR interval parameters can be continuously obtained by repeating the steps.
The low-load multi-dimensional intelligent sleep monitoring screening method provided by the invention has the following beneficial effects.
1. The invention realizes simple design by separating the sensors, can simplify wearing, reduces operation difficulty and simultaneously lightens the sleep burden of a patient. The patient can independently measure, the maintenance cost is reduced, and the long-term continuous monitoring at home can be realized through the reduction of the cost. The intelligent sleep quality evaluation system has the advantages that multiple indexes of a human body are collected and analyzed while the user sleeps, the intelligent sleep quality evaluation system is convenient, fast, time-saving and labor-saving, data are uploaded to the cloud end through the connection of the intelligent mobile phone, the calculation and the report generation are fed back to the patient, the visual sleep quality evaluation is provided, the wide application prospect is achieved, and the popularization and the application are facilitated.
2. The reflection type blood oxygen measuring method is different from the traditional photoelectric transmission blood oxygen measuring method, adopts the reflection blood oxygen measuring method, emits and receives light at the same side and is integrated in a chip, thereby reducing the complexity of structural design, simultaneously avoiding the defects of blood vessel compression, hand constraint and the like caused by transmission type blood oxygen monitoring, and avoiding causing sleep burden.
Drawings
FIG. 1 is a general flowchart of a method for screening a low-load multi-dimensional intelligent sleep monitor according to the present invention;
FIG. 2 is a flow chart of reflective blood oxygen measurement in a low-load multi-dimensional intelligent sleep monitoring screening method according to the present invention;
FIG. 3 is a flow chart of forehead temperature monitoring in a low-load multi-dimensional intelligent sleep monitoring screening method provided by the present invention;
FIG. 4 is a flow chart of sleep posture monitoring in the method for screening and monitoring multi-dimensional intelligent sleep monitor with low load according to the present invention;
FIG. 5 is a flow chart of snore monitoring in the method for screening and monitoring low-load multi-dimensional intelligent sleep monitor provided by the invention;
fig. 6 is a flowchart of electrocardiographic monitoring in the low-load multi-dimensional intelligent sleep monitoring screening method provided by the invention.
Detailed Description
The present invention will be further described with reference to the following specific embodiments and accompanying drawings to assist in understanding the contents of the invention.
As shown in fig. 1, it is an overall flowchart of a low-load multi-dimensional intelligent sleep monitoring screening method provided by the present invention. The low-load multi-dimensional intelligent sleep monitoring screening method comprises the following steps:
(1) installing random electrode plates on two sensors of a head sticker and a chest sticker and starting up;
(2) respectively attaching two sensors of a head patch and a chest patch to the designated parts of the forehead and the chest of a patient;
(3) starting monitoring, wherein the monitoring indexes comprise reflection type blood oxygen measurement, forehead temperature monitoring, sleeping posture monitoring, snore monitoring and electrocardio monitoring;
(4) after monitoring is finished, opening mobile phone APP synchronous data to a cloud terminal;
(5) the cloud server finishes processing the data and sends a report to the mobile phone;
(6) and displaying the sleep report content by the mobile phone APP.
As shown in fig. 2, it is a flow chart of reflective blood oxygen measurement in the low-load multi-dimensional intelligent sleep monitoring screening method provided by the present invention. Wherein, the reflection type blood oxygen measurement comprises the following steps:
s1: after the device is started, the blood oxygen chip MAX86150 is initialized under the control of IIC communication;
s2: after the initialization is completed, 200Hz sampling is carried out on the red light and the infrared transmission reflection light through MAX 86150;
s3: after data sampling is finished, judging the sampled data, if the user wears the data correctly at the moment, filtering the AD sampled data through a low-pass filter, and then normalizing the filtered data, so that noise and large-range fluctuation in the original sampled data are removed;
s4: after filtering, searching wave crests for the flat data, calculating pulse rate according to the searched wave crest position, and calculating blood oxygen according to the absorption rate of red light and infrared transmission and reflection light;
s5: averaging the blood oxygen and the pulse rate by a nine-point averaging method to obtain a final result;
s6: the calculation result is recorded in a memory chip, and the blood oxygen, pulse rate and other data of the patient can be continuously obtained by repeating the steps.
As shown in fig. 3, it is a flow chart of forehead temperature monitoring in the low-load multi-dimensional intelligent sleep monitoring screening method provided by the present invention. The forehead temperature monitoring method comprises the following steps:
s1: after the equipment is started, initializing a CT1711 temperature sensor through a single-wire communication protocol;
s2: after the initialization is finished, waiting for the completion of the temperature conversion of the CT1711, and then reading a forehead temperature digital signal;
s3: the digital signals are judged, and the wrong conversion results are eliminated, so that the correct forehead temperature is obtained;
s4: carrying out five-point averaging on the obtained forehead temperature value to obtain a final calculation result;
s5: the calculation result is stored in a storage chip, and the forehead temperature data of the patient can be obtained by repeating the steps one second by one second.
Fig. 4 is a flow chart of sleep posture monitoring in the low-load multi-dimensional intelligent sleep monitoring screening method provided by the present invention. Wherein, the sleeping posture monitoring comprises the following steps:
s1: after the equipment is started, automatically initializing a BMA253 accelerometer chip through an IIC protocol;
s2: after the BMA253 is initialized, the fixed register of the chip is read at regular time to obtain the numerical values in the three directions of XYZ, the posture of the chip can be obtained according to the comparison of the numerical values in the directions, and then the sleeping posture of the patient is deduced;
s3: and after the sleeping posture of the patient is obtained, recording the result in the storage chip one second by one second, and repeating the steps to obtain the sleeping posture parameters of the patient one second by one second.
Fig. 5 shows a flow chart of snore monitoring in the method for screening and monitoring sleep monitor with low load and multiple dimensions provided by the present invention. Wherein, snore monitoring comprises the following steps:
s1: after the device is started, the silicon oatmeal SPK0838HT4H is automatically initialized;
s2: then, carrying out timing sampling on the sound through PDM _ PCM, and accumulating the sound sampling values obtained through the silicon oatmeal within 1 s;
s3: when the accumulation period reaches 1s, scaling and normalizing the obtained result to be in the range of 0-255;
s4: after the sound intensity is obtained, the calculation result is stored in a storage chip, and the sound intensity parameters can be obtained by repeating the steps one second by one second.
As shown in fig. 6, it is a flowchart of electrocardiographic monitoring in the low-load multi-dimensional intelligent sleep monitoring screening method provided by the present invention. The electrocardio monitoring comprises the following steps:
s1: after the equipment is started, the ECG chip ADS1292R can be automatically initialized through SPI communication;
s2: after initialization is completed, the electrocardio chip can continuously output the sampling numerical value of the electrocardio I channel;
s3: after a sampling numerical value is obtained, processing the sampling through a low-pass digital filter, filtering out clutter and mains supply interference, and obtaining a regular electrocardiographic waveform signal;
s4: searching the position of the R point of the QRS wave after detecting the program threshold, marking the position of the R1 point of the peak, and repeating the steps to obtain the position of the R2 point of the peak;
s5: obtaining an R-R interval through difference making, and calculating the heart rate;
s6: and after the calculation is finished, the heart rate and the RR interval are stored in a storage chip, and the heart rate and RR interval parameters can be continuously obtained by repeating the steps.
The invention realizes simple design by separating the sensors, can simplify wearing, reduces operation difficulty and simultaneously lightens the sleep burden of a patient. The patient can independently measure, the maintenance cost is reduced, and the long-term continuous monitoring at home can be realized through the reduction of the cost. The intelligent sleep quality evaluation system has the advantages that multiple indexes of a human body are collected and analyzed while the user sleeps, the intelligent sleep quality evaluation system is convenient, fast, time-saving and labor-saving, data are uploaded to the cloud end through the connection of the intelligent mobile phone, the calculation and the report generation are fed back to the patient, the visual sleep quality evaluation is provided, the wide application prospect is achieved, and the popularization and the application are facilitated. The reflection type blood oxygen measuring method is different from the traditional photoelectric transmission blood oxygen measuring method, adopts the reflection blood oxygen measuring method, emits and receives light at the same side and is integrated in a chip, thereby reducing the complexity of structural design, simultaneously avoiding the defects of blood vessel compression, hand constraint and the like caused by transmission type blood oxygen monitoring, and avoiding causing sleep burden.
The inventive concept is explained in detail herein using specific examples, which are given only to aid in understanding the core concepts of the invention. It should be understood that any obvious modifications, equivalents and other improvements made by those skilled in the art without departing from the spirit of the present invention are included in the scope of the present invention.
Claims (6)
1. A low-load multi-dimensional intelligent sleep monitoring screening method is characterized by comprising the following steps:
(1) installing random electrode plates on two sensors of a head sticker and a chest sticker and starting up;
(2) respectively attaching two sensors of a head patch and a chest patch to the designated parts of the forehead and the chest of a patient;
(3) starting monitoring, wherein the monitoring indexes comprise reflection type blood oxygen measurement, forehead temperature monitoring, sleeping posture monitoring, snore monitoring and electrocardio monitoring;
(4) after monitoring is finished, opening mobile phone APP synchronous data to a cloud terminal;
(5) the cloud server finishes processing the data and sends a report to the mobile phone;
(6) and displaying the sleep report content by the mobile phone APP.
2. The method as claimed in claim 1, wherein in step (3), the reflective oximetry measurement includes the following steps:
s1: after the device is started, the blood oxygen chip MAX86150 is initialized under the control of IIC communication;
s2: after the initialization is completed, 200Hz sampling is carried out on the red light and the infrared transmission reflection light through MAX 86150;
s3: after data sampling is finished, judging the sampled data, if the user wears the data correctly at the moment, filtering the AD sampled data through a low-pass filter, and then normalizing the filtered data, so that noise and large-range fluctuation in the original sampled data are removed;
s4: after filtering, searching wave crests for the flat data, calculating pulse rate according to the searched wave crest position, and calculating blood oxygen according to the absorption rate of red light and infrared transmission and reflection light;
s5: averaging the blood oxygen and the pulse rate by a nine-point averaging method to obtain a final result;
s6: the calculation result is recorded in a memory chip, and the blood oxygen, pulse rate and other data of the patient can be continuously obtained by repeating the steps.
3. The method as claimed in claim 2, wherein in step (3), the forehead temperature monitoring comprises the following steps:
s1: after the equipment is started, initializing a CT1711 temperature sensor through a single-wire communication protocol;
s2: after the initialization is finished, waiting for the completion of the temperature conversion of the CT1711, and then reading a forehead temperature digital signal;
s3: the digital signals are judged, and the wrong conversion results are eliminated, so that the correct forehead temperature is obtained;
s4: carrying out five-point averaging on the obtained forehead temperature value to obtain a final calculation result;
s5: the calculation result is stored in a storage chip, and the forehead temperature data of the patient can be obtained by repeating the steps one second by one second.
4. The method as claimed in claim 3, wherein in step (3), the sleep monitor comprises the following steps:
s1: after the equipment is started, automatically initializing a BMA253 accelerometer chip through an IIC protocol;
s2: after the BMA253 is initialized, the fixed register of the chip is read at regular time to obtain the numerical values in the three directions of XYZ, the posture of the chip can be obtained according to the comparison of the numerical values in the directions, and then the sleeping posture of the patient is deduced;
s3: and after the sleeping posture of the patient is obtained, recording the result in the storage chip one second by one second, and repeating the steps to obtain the sleeping posture parameters of the patient one second by one second.
5. The method as claimed in claim 4, wherein in step (3), the snore monitoring comprises the following steps:
s1: after the device is started, the silicon oatmeal SPK0838HT4H is automatically initialized;
s2: then, carrying out timing sampling on the sound through PDM _ PCM, and accumulating the sound sampling values obtained through the silicon oatmeal within 1 s;
s3: when the accumulation period reaches 1s, scaling and normalizing the obtained result to be in the range of 0-255;
s4: after the sound intensity is obtained, the calculation result is stored in a storage chip, and the sound intensity parameters can be obtained by repeating the steps one second by one second.
6. The method as claimed in claim 5, wherein in step (3), the electrocardiographic monitoring comprises the following steps:
s1: after the equipment is started, the ECG chip ADS1292R can be automatically initialized through SPI communication;
s2: after initialization is completed, the electrocardio chip can continuously output the sampling numerical value of the electrocardio I channel;
s3: after a sampling numerical value is obtained, processing the sampling through a low-pass digital filter, filtering out clutter and mains supply interference, and obtaining a regular electrocardiographic waveform signal;
s4: searching the position of the R point of the QRS wave after detecting the program threshold, marking the position of the R1 point of the peak, and repeating the steps to obtain the position of the R2 point of the peak;
s5: obtaining an R-R interval through difference making, and calculating the heart rate;
s6: and after the calculation is finished, the heart rate and the RR interval are stored in a storage chip, and the heart rate and RR interval parameters can be continuously obtained by repeating the steps.
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| CN111665754A (en) * | 2020-06-02 | 2020-09-15 | 方应龙 | Control device and implementation method of intelligent bed |
| WO2021057101A1 (en) * | 2019-09-25 | 2021-04-01 | 橙意家人科技（天津）有限公司 | Low-load multidimensional intelligent sleep monitoring and screening method |
| CN113208563A (en) * | 2021-04-28 | 2021-08-06 | 西安领跑网络传媒科技股份有限公司 | Sleep monitoring method, device, system, computer equipment and storage medium |
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