Research On Daily Heart Rate Detection Based On Pulse Information Fusion

Heart rate is an important indicator for judging the cardiovascular health of the human body in medical monitoring.Pulse signal is also one of the main technical methods for heart rate detection due to its measurement method.However,frequent pulse signal detection is susceptible to movement interference and the signal quality is reduced.As a result,the heart rate cannot be accurately detected,and then the human health status is incorrectly warned.Therefore,accurate monitoring of the daily rate of daily life has become an increasingly urgent demand and a hot spot for research and development.In order to realize the stable detection of the pulse signal in the daily state,obtain more effective pulse information,improve the anti-interference of the daily medical monitoring system,and reduce the false alarm rate of the system.Developed a pulse signal detection system suitable for everyday environments,and realized effective detection of heart rate and effective monitoring of human health in daily life.The main work of this article is as follows:(1)In view of the fact that the traditional pulse signal detection site is susceptible to blood perfusion and daily movement interference during the collection,the pulse signal detection in the area behind the ear is proposed,the pulse signal detection system based on the area behind the ear is developed,and the packaging structure obtained by 3D printing is further improved.Improve the accuracy of pulse signal detection under daily conditions.Pulse signals behind the ear and fingers were collected synchronously by the developed pulse signal detection system,and the PP interphase was extracted from the synchronously detected pulse signals behind the ear and fingers,and the consistency analysis of PP interphase was conducted to verify the stability of the system.The experimental results show that compared with the traditional finger pulse signal detection system,the developed pulse signal detection system can effectively suppress the noise or interference in the detection process in the daily state,laying a foundation for the accurate acquisition of pulse information in the daily life state.(2)The daily motion interference of the pulse signal cannot be completely suppressed by the filtering method,and a method for evaluating the quality of the pulse signal behind the ear and finger under the daily motion state is proposed.Firstly,it explains the difference between the movement interference of the head and the fingers in daily life.Therefore,there is a certain difference between the detection of the pulse signal loss and the waveform characteristics of the ear and the finger;Then,according to the different motion interference of pulse signals in different parts,the corresponding signal quality evaluation method is researched and proposed.The feature-based quality evaluation method selects the time domain and nonlinear characteristics from the linear and nonlinear perspectives respectively;The quality evaluation method based on template matching can more accurately detect the interference segment of the pulse signal behind the ear.The detected pulse signal is divided into an available segment and an unavailable segment according to the set decision rule,which provides reliability for the extraction of effective information during subsequent pulse signal analysis.(3)Research and put forward a method to accurately detect heart rate based on fusion analysis of pulse signals behind the ears and fingers under daily conditions.According to the evaluation results of the pulse signal quality behind the ear and the finger,in the case where one of the signals is severely disturbed by motion,the other channel is selected for good follow-up analysis by information fusion.In the case of interference,the post-ear pulse signal is selected for analysis;and a main wave peak detection algorithm suitable for the post-ear pulse signal is proposed,that is,the method of combining the local maximum method and the threshold method is used for the main wave detection.The experimental results show that the peak detection accuracy after fusion analysis of the pulse signal of the ear and finger is improved from 90.2% to 98.8% compared with using only a single pulse signal.The proposed method based on pulse information fusion has better resistance Interfering with exercise ability provides a non-effective way to accurately detect heart rate in daily life.