可穿戴计算机
信号(编程语言)
心率
光容积图
计算机科学
模拟
手势
生物医学工程
血压
工程类
人工智能
医学
无线
嵌入式系统
电信
放射科
程序设计语言
作者
Leonardo D’Acquisto,Francesco Scardulla,Nicola Montinaro,Salvatore Pasta,Daniele Zangla,Diego Bellavia
标识
DOI:10.1109/metroi4.2019.8792834
摘要
The increase of safety and health monitor of workers has become a crucial objective to prevent excessive physical workloads, injuries, accidents and errors. Heart rate (HR) is a very important physiological indicator which could properly describe the workers' physical status. Recently, wearable photoplethysmographic (PPG) wristband trackers have been utilized to measure HR without hindering normal gesture of workers. However, the quality of PPG signals is highly affected by human physical motions, resulting in a poor reliable HR estimation. Specifically, during different activities and gestures, PPG sensor contact pressures may have an impact on the quality of the heart rate signal. To approach the problem, an instrumented adjustable bracelet equipped with a PPG sensor and a load cell has been designed. A simple test protocol consisting of three different activities (i.e. walking, jogging and running) has been realized to test PPG signal quality. PPG sensor has been subjected to different skin-sensor contact interface conditions to take into account the effect of contact pressure. Preliminary results showed that a weak contact pressure results in a poor quality of PPG signal as the activity becomes more and more intense. These results suggest that the contact pressure exerted by the sensor affects both the arterial compliance and the arterial volume, providing different results.
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