Sleep apnea is a common health condition that can affect numerous aspects of life and may cause a lot of health problems especially in the middle-aged and elderly population.Polysomnography(PSG),as the gold standard,i...Sleep apnea is a common health condition that can affect numerous aspects of life and may cause a lot of health problems especially in the middle-aged and elderly population.Polysomnography(PSG),as the gold standard,is an expensive and inconvenient way to diagnose sleep apnea.However,ballistocardiogram can be collected by devices embedded in the surrounding environment,enabling inperceptible sleep apnea detection.Moreover,to obtain the fine-grained apnea fragments,a multistage sleep apnea detection model has been proposed.This model firstly uses an improved convolution neural network(CNN)model to coarsely identify apnea events and then a U-Net based model is applied to finely segment apnea fragments.In the experiment,sleep data of 11 patients with apnea for about 70 h have been collected,including BCG data derived from 18 piezoelectric polyvinylidene fluoride(PVDF)sensors embedded in the mattress and PSG data collected synchronously.The results show the accuracy of the classification model as good as 95.7%with 0.818 dice coefficient of the segmentation model,which indicates that the proposed model can almost match the performance of PSG in detecting apnea.展开更多
Ballistocardiogram signal monitoring system based on GSM network was put forward in this paper. The system included a BCG signal acquisition module, a data processing module, a display module and a GSM module. The STM...Ballistocardiogram signal monitoring system based on GSM network was put forward in this paper. The system included a BCG signal acquisition module, a data processing module, a display module and a GSM module. The STM32F103 VB microprocessor was used as the controlling core of the signal acquisition module. BCG signal acquisition, amplification, filtering and A/D conversion were completed by the resistance strain sensor and high precision A/D conversion chip of TM7708; VB6.0software was used to realize the BCG signal analysis and processing; the SD card and LCD completed data storage and waveform display; the BCG data remote transmission and alarm function were realized through the GSM module. The system cannot only real-time monitor the changes of heart rate of patients by non-contact means, and can process data automatically, timely detection of arrhythmia and automatic alarm. The system is particularly suitable for heart disease patients receiving long-term home care; therefore, it has a broad application prospect.展开更多
We present a ballistocardiogram(BCG)measurement system for obtaining the BCG signal.The performance of the BCG measurement system was tested,including the dynamic response frequency of the platform(32 Hz with a 75 kg ...We present a ballistocardiogram(BCG)measurement system for obtaining the BCG signal.The performance of the BCG measurement system was tested,including the dynamic response frequency of the platform(32 Hz with a 75 kg load),and the signal to noise ratio of the system(minimum 23 dB).Factors that could influence BCG recording during measurement were investigated by collecting data from 48 healthy subjects(28 males and 20females).The basic features of the BCG signal,such as the amplitude and time interval,were extracted,and differences by gender were analyzed.A correlation between the IJ amplitude(amplitude difference between I-and J-peak)and the respiration phase was found(R2=0.49).The BCG signals for both sitting(SiBCG)and standing(StBCG)postures were obtained using this system.These showed that the StBCG amplitudes were larger than those of SiBCG but there was no significant difference in the time intervals.The robustness of our system was verified,and its potential for non-invasive cardiac activity monitoring was demonstrated.展开更多
文摘Sleep apnea is a common health condition that can affect numerous aspects of life and may cause a lot of health problems especially in the middle-aged and elderly population.Polysomnography(PSG),as the gold standard,is an expensive and inconvenient way to diagnose sleep apnea.However,ballistocardiogram can be collected by devices embedded in the surrounding environment,enabling inperceptible sleep apnea detection.Moreover,to obtain the fine-grained apnea fragments,a multistage sleep apnea detection model has been proposed.This model firstly uses an improved convolution neural network(CNN)model to coarsely identify apnea events and then a U-Net based model is applied to finely segment apnea fragments.In the experiment,sleep data of 11 patients with apnea for about 70 h have been collected,including BCG data derived from 18 piezoelectric polyvinylidene fluoride(PVDF)sensors embedded in the mattress and PSG data collected synchronously.The results show the accuracy of the classification model as good as 95.7%with 0.818 dice coefficient of the segmentation model,which indicates that the proposed model can almost match the performance of PSG in detecting apnea.
文摘Ballistocardiogram signal monitoring system based on GSM network was put forward in this paper. The system included a BCG signal acquisition module, a data processing module, a display module and a GSM module. The STM32F103 VB microprocessor was used as the controlling core of the signal acquisition module. BCG signal acquisition, amplification, filtering and A/D conversion were completed by the resistance strain sensor and high precision A/D conversion chip of TM7708; VB6.0software was used to realize the BCG signal analysis and processing; the SD card and LCD completed data storage and waveform display; the BCG data remote transmission and alarm function were realized through the GSM module. The system cannot only real-time monitor the changes of heart rate of patients by non-contact means, and can process data automatically, timely detection of arrhythmia and automatic alarm. The system is particularly suitable for heart disease patients receiving long-term home care; therefore, it has a broad application prospect.
基金supported by the National Natural Science Foundation of C@hina (810701750)
文摘We present a ballistocardiogram(BCG)measurement system for obtaining the BCG signal.The performance of the BCG measurement system was tested,including the dynamic response frequency of the platform(32 Hz with a 75 kg load),and the signal to noise ratio of the system(minimum 23 dB).Factors that could influence BCG recording during measurement were investigated by collecting data from 48 healthy subjects(28 males and 20females).The basic features of the BCG signal,such as the amplitude and time interval,were extracted,and differences by gender were analyzed.A correlation between the IJ amplitude(amplitude difference between I-and J-peak)and the respiration phase was found(R2=0.49).The BCG signals for both sitting(SiBCG)and standing(StBCG)postures were obtained using this system.These showed that the StBCG amplitudes were larger than those of SiBCG but there was no significant difference in the time intervals.The robustness of our system was verified,and its potential for non-invasive cardiac activity monitoring was demonstrated.
