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Research Of Sleep Monitoring System Based On Digital Signal Processor

Posted on:2018-03-06Degree:MasterType:Thesis
Country:ChinaCandidate:B LuoFull Text:PDF
GTID:2370330566998824Subject:Optical engineering
Abstract/Summary:PDF Full Text Request
Now most of the people living in the big city has more or less sleep problems,and these problems were not easy to found in a timely manner,the corresponding sleep monitoring will greatly improve these sleep problems.The traditional sleep monitoring system needs to paste various electrodes on the chest,abdomen and head of the human body to collect physiological data such as ECG and EEG.This method not only has the problems of cumbersome operation,requiring professionals to operate and expensive monitoring and other issues;There are also disadvantages such as increasing the user's psychological stress and affecting the quality of sleep and other shortcomings.Replacing traditional monitoring with non-contact sleep monitoring system can make up for the deficiency.The current non-contact sleep monitoring system can monitor basic sleep data such as heart rate,respiration and body movement,but there are still some problems such as low data processing capability,low accuracy,poor real-time performance,small monitoring range and single monitoring mode.In order to solve these problems,a new type of non-contact real-time cloud sleep monitoring system was designed,and a prototype was developed to carry out experimental research.A real-time monitoring of sleep is proposed for sleep monitoring content and design requirements.The feasibility of using the piezoelectric thin film sensor to acquire Ballistocardiogram(BCG)signal and the implementation of the Digital Signal Processor(DSP)platform is investigated.This paper analyzes the waveform characteristics of heart impact signal and presents a method for the separation of heartbeat,respiration,and body dynamic signals from cardiac impulse signal.Combined with the DSP's powerful data processing ability,the article design the VC5509 A DSP as the core of data acquisition circuit,including the BCG signal acquisition circuit,second-order butterworth high-pass filter circuit,fourth-order butterworth low-pass filter circuit,DSP minimum system and Universal Serial Bus(USB)data communication circuit.After designing the schematic of the circuit,a prototype was made and the prototype was debugged to get a stable and reliable hardware platform.Based on this,the method of processing the heart impulse signal is studied in the time domain and the frequency domain.and the basic sleep data such as bed departure,body movement,respiration and heart rate are acquired by median filtering,multi-point linear smoothing techniques,fast Fourier transform and other filtering algorithms.Those data were also used to analyze sleep duration,sleep stages and apnea.Based on the related sleep data,the design of cloud monitoring is designed,including three kinds of intelligent interaction modes: smart terminal,background webpage and We Chat platform.After the test in the actual scene,the design of the monitoring system is stable,high precision and low power consumption,the sleep data processing algorithm is accurate and reliable,and the interactive mode is real-time and efficient.The designed sleep monitoring system meets the design requirements and can monitor the daily sleep.
Keywords/Search Tags:non-contact, ballistocardiogram signal, real-time, cloud monitoring
PDF Full Text Request
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