Charlton Peter H, Kyriacou Panicos, Mant Jonathan, Alastruey Jordi
Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
Research Centre for Biomedical Engineering, City, University of London, London EC1V 0HB, UK.
Eng Proc. 2020 Nov 14;2(1):80. doi: 10.3390/ecsa-7-08233. eCollection 2020.
The photoplethysmogram (PPG) signal is widely measured by smart watches and fitness bands for heart rate monitoring. New applications of the PPG are also emerging, such as to detect irregular heart rhythms, track infectious diseases, and monitor blood pressure. Consequently, datasets of PPG signals acquired in daily life are valuable for algorithm development. The aim of this pilot study was to assess the feasibility of acquiring PPG data in daily life. A single subject was asked to wear a wrist-worn PPG sensor six days a week for four weeks, and to keep a diary of daily activities. The sensor was worn for 75.0% of the time, signals were acquired for 60.6% of the time, and signal quality was high for 30.5% of the time. This small pilot study demonstrated the feasibility of acquiring PPG data during daily living. Key lessons were learnt for future studies: (i) devices which are waterproof and require charging less frequently may provide signals for a greater proportion of the time; (ii) data should either be stored on the device or streamed via a reliable connection to a second device for storage; (iii) it may be beneficial to acquire signals during the night or during periods of low activity to achieve high signal quality; and (iv) there are several promising areas for PPG algorithm development including the design of pulse wave analysis techniques to track changes in cardiovascular properties in daily life.
光电容积脉搏波图(PPG)信号被智能手表和健身手环广泛用于心率监测。PPG的新应用也不断涌现,比如检测心律失常、追踪传染病以及监测血压。因此,日常生活中采集的PPG信号数据集对于算法开发很有价值。这项初步研究的目的是评估在日常生活中采集PPG数据的可行性。要求一名受试者每周六天佩戴腕式PPG传感器,持续四周,并记录日常活动。传感器佩戴时间占总时间的75.0%,信号采集时间占总时间的60.6%,信号质量高的时间占总时间的30.5%。这项小型初步研究证明了在日常生活中采集PPG数据的可行性。为未来研究吸取了关键经验教训:(i)防水且充电频率较低的设备可能在更大比例的时间内提供信号;(ii)数据应存储在设备上,或通过可靠连接传输到第二个设备进行存储;(iii)在夜间或低活动期间采集信号可能有助于获得高质量信号;(iv)PPG算法开发有几个很有前景的领域,包括设计脉搏波分析技术以追踪日常生活中心血管特性的变化。