Bioengineering and Robotics Research Centre E. Piaggio, University of Pisa, Pisa 56122, Italy.
Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa 56122, Italy.
Sensors (Basel). 2020 Jun 2;20(11):3156. doi: 10.3390/s20113156.
The non-invasiveness of photoplethysmographic (PPG) acquisition systems, together with their cost-effectiveness and easiness of connection with IoT technologies, is opening up to the possibility of their widespread use. For this reason, the study of the reliability of PPG and pulse rate variability (PRV) signal quality has become of great scientific, technological, and commercial interest. In this field, sensor location has been demonstrated to play a crucial role. The goal of this study was to investigate PPG and PRV signal quality acquired from two body locations: finger and wrist. We simultaneously acquired the PPG and electrocardiographic (ECG) signals from sixteen healthy subjects (aged 28.5 ± 3.5, seven females) who followed an experimental protocol of affective stimulation through visual stimuli. Statistical tests demonstrated that PPG signals acquired from the wrist and the finger presented different signal quality indexes (kurtosis and Shannon entropy), with higher values for the wrist-PPG. Then we propose to apply the cross-mapping (CM) approach as a new method to quantify the PRV signal quality. We found that the performance achieved using the two sites was significantly different in all the experimental sessions ( < 0.01), and the PRV dynamics acquired from the finger were the most similar to heart rate variability (HRV) dynamics.
光电容积脉搏波（PPG）采集系统的非侵入性、成本效益以及与物联网技术的易于连接性，为其广泛应用提供了可能性。因此，对 PPG 和脉搏率变异（PRV）信号质量的可靠性研究引起了科学界、技术界和商业界的极大关注。在这一领域，传感器的位置已被证明起着至关重要的作用。本研究旨在探讨从两个身体部位（手指和手腕）采集的 PPG 和 PRV 信号质量。我们同时从 16 位健康受试者（年龄 28.5±3.5 岁，女性 7 人）身上采集 PPG 和心电图（ECG）信号，这些受试者遵循通过视觉刺激进行情感刺激的实验方案。统计检验表明，手腕 PPG 和手指 PPG 采集的信号具有不同的质量指标（峰度和香农熵），手腕 PPG 的值更高。然后，我们提出应用互映射（CM）方法作为量化 PRV 信号质量的新方法。我们发现，在所有实验过程中，两个部位的性能存在显著差异（<0.01），并且从手指采集的 PRV 动态与心率变异性（HRV）动态最为相似。
