阅读说明：本技术 一种睡眠监测仪 (Sleep monitor ) 是由 陈晓琪 陈杰 李文超 于 2018-07-22 设计创作，主要内容包括：一种睡眠监测仪,属于传感器检测技术领域,是主要由柔性力敏传感器、行列压力信号采集模块、单片机、电源模块、信号处理与控制模块和信号分析与算法模块组成的,其特征在于：所述柔性力敏传感器和放大电路相连接,行列压力信号采集模块和AD转换模块相连接,以太网通信模块和单片机相连接,信号处理与控制模块和信号分析与算法模块属于上位机软件处理与控制部分,通过以太网通信模块相连接,有成本低、设备简单、对使用环境无特殊要求,对被测人员几乎无干扰等优点。(The utility model provides a sleep monitor, belongs to sensor detection technical field, is mainly by flexible force sensor, ranks pressure signal acquisition module, singlechip, power module, signal processing and control module and signal analysis and algorithm module constitute, its characterized in that: the flexible force-sensitive sensor is connected with the amplifying circuit, the row-column pressure signal acquisition module is connected with the AD conversion module, the Ethernet communication module is connected with the single chip microcomputer, the signal processing and control module and the signal analysis and algorithm module belong to an upper computer software processing and control part, and the flexible force-sensitive sensor is connected with the single chip microcomputer through the Ethernet communication module.)

1. The utility model provides a sleep monitor, is mainly by flexible force sensor, amplifier circuit, ranks pressure signal acquisition module, AD conversion module, singlechip, power module, ethernet communication module, signal processing and control module and signal analysis and algorithm module constitute, its characterized in that: the flexible force-sensitive sensor is connected with the amplifying circuit, the amplifying circuit is connected with the AD conversion module, the row and column pressure signal acquisition module is connected with the AD conversion module, the AD conversion module is connected with the single chip microcomputer, the power supply module supplies power to the amplifying circuit, the single chip microcomputer and the AD conversion module respectively, the Ethernet communication module is connected with the single chip microcomputer, and the signal processing and control module and the signal analysis and algorithm module belong to an upper computer software processing and control part and are connected with the Ethernet communication module.

2. The sleep monitor as set forth in claim 1, wherein: the flexible force-sensitive sensor is a resistance-type force-sensitive sensor, the adopted flexible force-sensitive sensor is structurally divided into an upper layer and a lower layer, a contact resistor is formed between the two layers at a contact part, and the resistance value is reduced approximately linearly along with the increase of the contact area and the increase of the pressure of a contact surface, so that the corresponding pressure value can be obtained by measuring the resistance value and calculating through a calibration matrix; the resistance value of the resistor to be measured can be calculated by using the voltage at two ends of the resistor to be measured and the resistance value of the known resistor.

3. The sleep monitor as set forth in claim 1, wherein: the voltage used by each part of the power supply module is different, most circuits adopt 5V voltage, the power supply voltage range of an STM32 chip is 2-3.6V, power supply voltage conversion is needed, and the conversion chip is AMS 1117-3.3. The chip outputs 3.3V by adopting fixed voltage.

4. The sleep monitor as set forth in claim 1, wherein: the signal analysis and algorithm module is used for firstly carrying out denoising processing on the human body pressure distribution image and selecting proper sampling frequency; then, analyzing body movement characteristics (amplitude characteristics and frequency characteristics which can just reflect the energy of the sleep body movement and are related to the sleep depth) by adopting a pause difference method and an image gray scale weight method, dividing the body movement into a large body movement, a middle body movement, a small body movement and a static state according to the amplitude, and then carrying out quantization processing; the classification is to represent the magnitude of the body motion, and the quantization is to reduce the body motion magnitude division error caused by the difference of body types and the like; analyzing the periodic characteristics of the body movement, including amplitude periodic characteristics and frequency periodic characteristics; determining a deep sleep discrimination condition and a clear-wake-light sleep threshold value according to the body movement periodic characteristics and by combining video sleep monitoring; finally, the sleep of the whole night is staged according to the discrimination condition and the threshold value, namely, the sleep is divided into three states of waking, light sleep and deep sleep.

Technical Field

The invention relates to a sleep monitor, and belongs to the technical field of sensor detection.

Background

Sleep medicine is a emerging marginal interdisciplinary discipline aimed at devising the relationship between sleep and health. The sleep monitoring is an important means for the medical research of sleep, and the physiological signals of a person in a sleep state are acquired through devices such as a sensor, an instrument and a meter, and then are compared with the standard sleep physiological signals to determine the sleep state. At present, the common sleep monitoring systems mainly include a multi-lead sleep monitoring system micro-motion sensitive mattress type sleep monitoring system, a video sleep monitoring system, a sleep monitoring smart bracelet and the like. The polysomnography system has the disadvantages of high cost and complex equipment; in addition, various signal acquisition devices can cause interference to the sleep of the tested personnel, and further the accuracy of the monitoring result is influenced. The invention develops a sleep monitor based on a flexible force-sensitive sensor.

Disclosure of Invention

In order to overcome the defects, the invention provides a sleep monitor.

The invention is realized by the following technical scheme: the utility model provides a sleep monitor, is mainly by flexible force sensor, amplifier circuit, ranks pressure signal acquisition module, AD conversion module, singlechip, power module, ethernet communication module, signal processing and control module and signal analysis and algorithm module constitute, its characterized in that: the flexible force-sensitive sensor is connected with the amplifying circuit, the amplifying circuit is connected with the AD conversion module, the row and column pressure signal acquisition module is connected with the AD conversion module, the AD conversion module is connected with the single chip microcomputer, the power supply module supplies power to the amplifying circuit, the single chip microcomputer and the AD conversion module respectively, the Ethernet communication module is connected with the single chip microcomputer, and the signal processing and control module and the signal analysis and algorithm module belong to an upper computer software processing and control part and are connected with the Ethernet communication module.

The flexible force-sensitive sensor is a resistance-type force-sensitive sensor, the adopted flexible force-sensitive sensor is structurally divided into an upper layer and a lower layer, a contact resistor is formed between the two layers at a contact part, and the resistance value is reduced approximately linearly along with the increase of the contact area and the increase of the pressure of a contact surface, so that the corresponding pressure value can be obtained by measuring the resistance value and calculating through a calibration matrix; the resistance value of the resistor to be measured can be calculated by using the voltage at two ends of the resistor to be measured and the resistance value of the known resistor.

The voltage used by each part of the power supply module is different, most circuits adopt 5V voltage, the power supply voltage range of an STM32 chip is 2-3.6V, power supply voltage conversion is needed, and the conversion chip is AMS 1117-3.3. The chip outputs 3.3V by adopting fixed voltage.

The signal analysis and algorithm module is used for firstly carrying out denoising processing on the human body pressure distribution image and selecting proper sampling frequency; then, analyzing body movement characteristics (amplitude characteristics and frequency characteristics which can just reflect the energy of the sleep body movement and are related to the sleep depth) by adopting a pause difference method and an image gray scale weight method, dividing the body movement into a large body movement, a middle body movement, a small body movement and a static state according to the amplitude, and then carrying out quantization processing; the classification is to represent the magnitude of the body motion, and the quantization is to reduce the body motion magnitude division error caused by the difference of body types and the like; analyzing the periodic characteristics of the body movement, including amplitude periodic characteristics and frequency periodic characteristics; determining a deep sleep discrimination condition and a clear-wake-light sleep threshold value according to the body movement periodic characteristics and by combining video sleep monitoring; finally, the sleep of the whole night is staged according to the discrimination condition and the threshold value, namely, the sleep is divided into three states of waking, light sleep and deep sleep.

The invention has the advantages that: the sleep monitor of the invention collects the body movement signal of a person during sleeping through the array type flexible force-sensitive sensor, and establishes a body movement-sleep relation model to monitor the sleep; the method has the advantages of low cost, simple equipment, no special requirement on the use environment, almost no interference to the tested personnel and the like.

Drawings

FIG. 1 is a schematic diagram of the system of the present invention.

In the figure, the device comprises a flexible force-sensitive sensor 1, an amplifying circuit 2, a row and column pressure signal acquisition module 3, an AD conversion module 4, a single chip microcomputer 5, a power supply module 6, an Ethernet communication module 7, a signal processing and control module 8, a signal analysis and algorithm module 9.

Detailed Description

The utility model provides a sleep monitor, is mainly by flexible force sensor 1, amplifier circuit 2, ranks pressure signal acquisition module 3, AD conversion module 4, singlechip 5, power module 6, ethernet communication module 7, signal processing and control module 8 and signal analysis and algorithm module 9 constitution, its characterized in that: the flexible force sensor 1 is connected with the amplifying circuit 2, the amplifying circuit 2 is connected with the AD conversion module 4, the line and row pressure signal acquisition module 3 is connected with the AD conversion module 4, the AD conversion module 4 is connected with the single chip microcomputer 5, the power supply module 6 respectively supplies power to the amplifying circuit 2, the AD conversion module 4 and the single chip microcomputer 5, the Ethernet communication module 7 is connected with the single chip microcomputer 5, and the signal processing and control module 8 and the signal analysis and algorithm module 9 belong to an upper computer software processing and control part and are all connected with the Ethernet communication module 7.

The flexible force-sensitive sensor 1 adopts a resistance-type force-sensitive sensor, the adopted flexible force-sensitive sensor is structurally divided into an upper layer and a lower layer, a contact resistor is formed between the two layers at a contact part, and the resistance value is approximately linearly reduced along with the increase of the contact area and the increase of the contact surface pressure, so that the corresponding pressure value can be obtained by measuring the resistance value and calculating through a calibration matrix; the resistance value of the resistor to be measured can be calculated by using the voltage at two ends of the resistor to be measured and the resistance value of the known resistor.

The power module 6 has different voltages used by each part, most circuits adopt 5V voltage, the power supply voltage range of the STM32 chip is 2-3.6V, power supply voltage conversion is needed, and the conversion chip is AMS 1117-3.3. The chip outputs 3.3V by adopting fixed voltage.

The signal analysis and algorithm module 9 firstly carries out denoising processing on the human body pressure distribution image and selects a proper sampling frequency; then, analyzing body movement characteristics (amplitude characteristics and frequency characteristics which can just reflect the energy of the sleep body movement and are related to the sleep depth) by adopting a pause difference method and an image gray scale weight method, dividing the body movement into a large body movement, a middle body movement, a small body movement and a static state according to the amplitude, and then carrying out quantization processing; the classification is to represent the magnitude of the body motion, and the quantization is to reduce the body motion magnitude division error caused by the difference of body types and the like; analyzing the periodic characteristics of the body movement, including amplitude periodic characteristics and frequency periodic characteristics; determining a deep sleep discrimination condition and a clear-wake-light sleep threshold value according to the body movement periodic characteristics and by combining video sleep monitoring; finally, the sleep of the whole night is staged according to the discrimination condition and the threshold value, namely, the sleep is divided into three states of waking, light sleep and deep sleep.

When the device works, pressure signals of sleep monitoring personnel are collected by the flexible force-sensitive sensor, then converted into electric signals by the line-column conversion circuit, and transmitted to the lower computer processing system based on STM32F103VET 6; the lower computer signal acquisition circuit comprises a signal amplification TL064, an A/D conversion AD7656, an STM32 processor circuit, an Ethernet communication interface W5300 and a power supply circuit, wherein the lower computer part is used for respectively carrying out signal amplification, A/D conversion, row and column pressure signal compression and packaging on the body movement pressure signals and transmitting the signals to an upper computer for processing. The upper computer software processing system comprises pressure signal preprocessing and lower computer control, body movement signal analysis and sleep staging algorithm realization and a sleep analysis result report, wherein the body movement signals transmitted by the lower computer are restored into image signals corresponding to pressure through signal preprocessing software, and then are subjected to frequency selection and denoising processing, and then the periodic characteristics of the body movement can be analyzed through the image signals, so that sleep state judgment conditions and thresholds are set in combination with video sleep monitoring, and sleep staging is performed.

It will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in the embodiments described above without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims.