重庆邮电大学光电信息感测与传输技术重庆市重点实验室
纸质出版:2019
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[1]罗明,周前能,庞宇,林金朝,彭良广.基于腕部脉搏波的脉率变异性检测系统[J].传感器与微系统,2019,38(09):84-87.
LUO Ming, ZHOU Qianneng, PANG Yu, et al. Pulse rate variability detecting system based on wrist-pulse wave[J]. 2019, 38(9): 84-87.
[1]罗明,周前能,庞宇,林金朝,彭良广.基于腕部脉搏波的脉率变异性检测系统[J].传感器与微系统,2019,38(09):84-87. DOI: 10.13873/J.1000-9787(2019)09-0084-04.
LUO Ming, ZHOU Qianneng, PANG Yu, et al. Pulse rate variability detecting system based on wrist-pulse wave[J]. 2019, 38(9): 84-87. DOI: 10.13873/J.1000-9787(2019)09-0084-04.
脉率变异性可通过监测光电容积脉搏波的连续波峰间隔时间得到
设计一种基于腕部脉搏波的脉率变异性检测系统。单片机通过光电检测法采集手腕处脉搏波
经无线通信传输到智能终端进行脉搏实时显示与脉率变异性指标分析
终端界面给用户提供心理状况分析报告和反馈建议。选取10名成年样本对系统进行功能测试
系统测量得到SDNN和LF/HF误差率分别为4. 2%
6. 8%。系统成本低、体积小、交互性强
非常适用于日常家庭心理健康监护。
Pulse rate variability( PRV) can be obtained by monitoring the continuous peak interval time of the photoplethysmography pulse wave. A pulse rate variability detecting system is designed based on the pulse wave in the wrist. Microcontroller unit captures the pulse wave at the wrist through the photoelectric detection method and transmits it to the intelligent terminal through the wireless communication for real-time pulse display and PRV index analysis. The terminal interface provides users with psychological status analysis report and feedback information. Ten functional adult samples are selected to test the system. The SDNN and LF/HF error rates are4. 2 % and 6. 8 %
respectively. The system is low in cost
small in size
and high interactive
and is very suitable for daily family mental health monitoring.
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