The invention belongs to the technical field of sleep monitoring, and particularly relates to an intelligent sensing mattress for monitoring sleep. Two kinds of flexible pressure sensors are adopted, wherein the first kind of the pressure sensors are used for producing pressure sensing arrays, are uniformly distributed in the whole mattress, and are used for detecting stressing conditions in the most part of the mattress, the second kind of sensors are distributed in several key positions of the mattress, and are used for collecting signals which can cause pressure change like respiration signals, body movement signals, and heart rhythm signals of a user, and transferring the pressure changing signals into electric signals; follow-up hardware conducts amplification, smoothing and transmission on the obtained electric signals, then conducts feature extraction and pattern recognition processing on the signals through a PC end to obtain a pressure distribution image and sleep analysis. According to the intelligent sensing mattress for monitoring sleep, ultra-thin flexible materials are used in sensors and structures thereof like electrodes, thus the mattress is small in thickness, light in weight, and convenient to carry; due to the fact that the intelligent sensing mattress for monitoring sleep is run in a non-intrusive mode, sleep monitoring can be conducted under the condition that a user is unconscious, thus the natural sleep of the user can be fully restored, and thus powerful supplement is made for family-type nursing.

Intelligent sensing mattress for monitoring sleep

A multifunctional intelligent bed system comprises an image pickup module, air bag mattress modules, a pressure-sensitive sensor array module, a microphone module, a pressure sensor module, a bed body, a lower computer and an upper computer. The image pickup module comprises a telescopic rod and a camera, the air bag mattress modules are arranged on the bed body and used for adjusting a posture of a user, and the pressure-sensitive sensor array module is flat laid on the air bag mattress modules. The microphone module is used for acquiring snoring sound and breath sound of the user, and the pressure-sensitive sensor array module consists of an upper buffer layer, a lower buffer layer and a pressure-sensitive sensor array installed between the upper buffer layer and the lower buffer layer. The pressure sensor module consists of four resistance strain type pressure sensors respectively installed on four bed legs of the bed body. The lower computer is connected with the image pickup module, the microphone module, the pressure sensor module and the pressure-sensitive sensor array module and is further connected with inflation and deflation modules of the air bag mattress modules, and the upper computer is connected with the lower computer.

Multifunctional intelligent bed system

The invention discloses a biomechanical mattress system which comprises a biomechanical mattress, control terminals and an air compressor. Input ends of air cavities are connected with the air compressor by air inlet electromagnetic valves and air inlet guide pipes, output ends of the air cavities are connected with air outlet guide pipes by air outlet electromagnetic valves, the control terminals are connected with the air compressor, pressure sensors, the air inlet electromagnetic valves and the air outlet electromagnetic valves, and the air compressor, the air inlet electromagnetic valves and the air outlet electromagnetic valves can be switched on and off under the control of the control terminals according to acquired data of the pressure sensors. The biomechanical mattress system has the advantages that the pressures of the air cavities can be adjusted according to the pressure sensors, accordingly, muscles can be moderately relaxed and can be guaranteed against being excessively compressed, and users at prone positions are in straightly stretching and equal body pressure states; physiological parameters of the sleep quality, the heart rates, the turnover frequencies, the respiration and the like are monitored by the aid of prone position body pressures, and the biomechanical mattress system can be widely applied to clinical departments such as ICU (intensive care units), departments of cardiac and cerebral surgery and departments of rehabilitation medicine.

Biomechanical mattress and biomechanical mattress system

The invention discloses equipment and a method for detecting the quality of an SMT (surface-mount technology) stencil. The equipment is characterized in that the SMT stencil is fixed on a detection plane, and an X-direction servo motor and a Y-direction servo motor drive a CCD (charge coupled device) camera and a plane backlight source to move above and below the detection plane respectively through X-direction guide rails and Y-direction guide rails; an X-direction grating ruler and a Y-direction grating ruler feed the location of the CCD camera back; the CCD camera moves and acquires local images of the SMT stencil; an industrial personal computer controls the X-direction servo motor and the Y-direction servo motor to move, a PCI (peripheral component interconnect) interface is communicated with a data acquisition card to obtain location information of the X-direction grating ruler and the Y-direction grating ruler and is communicated with the CCD camera through a GigE interface to obtain acquired images, and a relay controls the plane backlight source. The method adopts the detection equipment and comprises the following steps: (1) Gerber data analysis; (2) planning of detection window location and a detection track; (3) offset calculation; (4) calculation of a positioning error of the SMT stencil; (5) detection of a hole location defect.

Equipment and method for detecting quality of SMT (surface-mount technology) stencil

A sleep breath detection device based on a flexible force sensor comprises a flexible force sensor array bed mattress, an upper computer and a controller, wherein the flexible force sensor array bed mattress comprises an upper buffer layer, a lower buffer layer and a flexible force sensor array mounted between the upper buffer layer and the lower buffer layer, the upper and lower buffer layers are made of flexible materials, the flexible force sensor array sequentially comprises an upper electrode layer, a middle layer and a lower electrode layer from top to bottom, both the upper electrode layer and the lower electrode layer are flexible circuit boards with uniformly distributed parallel electrodes, N parallel electrodes on the upper electrode layer are perpendicularly intersected with M parallel electrodes on the lower electrode layer in space, and the parallel electrodes of the upper electrode layer and the lower electrode layer are connected with the controller; the controller comprises a direct current power supply, a data acquisition device, a data processing device and a data transmission device; the upper computer is connected with the data transmission device of the controller.

Sleep breath detection device based on flexible force sensor

The invention provides a method for automatically adjusting sleeping postures by fusing multivariate information The method is characterized in that a hardware system carrying out the method comprises an air bag mattress module, a flexible force sensor array module, a microphone module, a pressure sensor module, a lower computer and an upper computer; the method includes the following steps of 1, multivariate information data acquisition; 2, multivariate data analysis; 3, judgment of the health status of the sleeping postures; 4, automatic adjustment of the sleeping postures

Method for automatically adjusting sleeping postures by fusing multivariate information

The invention discloses a fuzzy rough set-based sleeping posture pressure image recognition method. The method is characterized by comprising the following steps: 1, data acquisition is carried out, and real-time pressure data detected by a pressure sensitivity sensor array located below a sleeping position are acquired; 2, image conversion is carried out and the real-time pressure data acquired in the first step are converted into a pressure image; 3, image pretreatment is carried out on the pressure image obtained in the second step; 4, image feature extraction is carried out, that is, feature extraction is carried out on the pressure image through image pretreatment, and the extracted feature values form a feature set for single pressure images; and 5, a fuzzy rough set method is adopted to process the image features extracted in the fourth step for realizing sleeping posture recognition.

Guo Zhihong

Papers

Method for automatically adjusting sleeping postures by fusing multivariate information

Multifunctional intelligent bed system

Equipment and method for detecting quality of SMT (surface-mount technology) stencil

Sleep breath detection device based on flexible force sensor

Fuzzy rough set-based sleeping posture pressure image recognition method