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Open AccessArticle

Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method

1
Bioengineering and Robotics Research Centre E. Piaggio, University of Pisa, 56122 Pisa, Italy
2
Dipartimento di Ingegneria dell’Informazione, University of Pisa, 56122 Pisa, Italy
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3156; https://doi.org/10.3390/s20113156
Received: 11 April 2020 / Revised: 29 May 2020 / Accepted: 31 May 2020 / Published: 2 June 2020
(This article belongs to the Section Wearables)
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 (p < 0.01), and the PRV dynamics acquired from the finger were the most similar to heart rate variability (HRV) dynamics. View Full-Text
Keywords: photoplethysmographic (PPG) signal; pulse rate variability (PRV); heart rate variability (HRV); cross-mapping; kurtosis; Shannon entropy; signal quality indexes; phase space reconstruction; wearable monitoring systems photoplethysmographic (PPG) signal; pulse rate variability (PRV); heart rate variability (HRV); cross-mapping; kurtosis; Shannon entropy; signal quality indexes; phase space reconstruction; wearable monitoring systems
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Nardelli, M.; Vanello, N.; Galperti, G.; Greco, A.; Scilingo, E.P. Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method. Sensors 2020, 20, 3156.

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