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

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.

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Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

npj Digital Medicine ◽

10.1038/s41746-021-00447-y ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Elisa Mejía-Mejía ◽

James M. May ◽

Mohamed Elgendi ◽

Panayiotis A. Kyriacou

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Pulse Rate ◽

Pulse Transit Time ◽

Pulse Rate Variability ◽

Physiological Factors ◽

Ecg Signals ◽

Non Invasive ◽

Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

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Design rationale and performance evaluation of Wavelet Health Wristband: bench-top validation of a wrist-worn physiological signal recorder (Preprint)

10.2196/preprints.11040 ◽

2018 ◽

Author(s):

Onur Dur ◽

Colleen Rhoades ◽

Sally Man Suen Ng ◽

Ragwa Elsayed ◽

Reinier van Mourik ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Respiration Rate ◽

Vital Signs ◽

High Signal ◽

Signal Quality ◽

Absolute Deviation ◽

Physiological Signal ◽

And Performance

BACKGROUND Wearable and connected health devices along with the recent advances in mobile and cloud computing provide a continuous, convenient-to-patient and scalable way to collect personal health data remotely. The Wavelet Health Platform and the Wavelet Wristband have been developed to capture multiple physiological signals and to derive biometrics from these signals including resting heart rate, heart rate variability, and respiration rate. OBJECTIVE This study aims to evaluate the accuracy of the biometrics estimates and signal quality of the wristband. METHODS Measurements collected from 35 subjects using the Wavelet Wristband were compared with simultaneously recorded electrocardiogram and spirometry measurements. RESULTS The heart rate, heart rate variability (SDNN) and respiration rate estimates matched within 0.6 ± 0.9 bpm, 7 ± 10 ms and 1 ± 1 brpm mean absolute deviation of the reference measurements, respectively. The quality of the raw plethysmography signal collected by the wristband, as determined by the harmonic-to-noise ratio, was comparable to that obtained from measurements from a finger-clip plethysmography device. CONCLUSIONS The accuracy of the biometrics estimates and high signal quality indicate that the Wristband PPG device is suitable for performing pulse wave analysis and measuring vital signs.

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Design and evaluation of a novel approach to invisible electrocardiography (ECG) in sanitary facilities using polymeric electrodes

Scientific Reports ◽

10.1038/s41598-021-85697-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Aline dos Santos Silva ◽

Hugo Almeida ◽

Hugo Plácido da Silva ◽

António Oliveira

Keyword(s):

Heart Rate ◽

Pearson Correlation ◽

Voluntary Action ◽

Signal Loss ◽

Standard Equipment ◽

Self Monitoring ◽

Battery Lifetime ◽

Ecg Signals ◽

Toilet Seat ◽

Novel Approach

AbstractMultiple wearable devices for cardiovascular self-monitoring have been proposed over the years, with growing evidence showing their effectiveness in the detection of pathologies that would otherwise be unnoticed through standard routine exams. In particular, Electrocardiography (ECG) has been an important tool for such purpose. However, wearables have known limitations, chief among which are the need for a voluntary action so that the ECG trace can be taken, battery lifetime, and abandonment. To effectively address these, novel solutions are needed, which has recently paved the way for “invisible” (aka “off-the-person”) sensing approaches. In this article we describe the design and experimental evaluation of a system for invisible ECG monitoring at home. For this purpose, a new sensor design was proposed, novel materials have been explored, and a proof-of-concept data collection system was created in the form of a toilet seat, enabling ECG measurements as an extension of the regular use of sanitary facilities, without requiring body-worn devices. In order to evaluate the proposed approach, measurements were performed using our system and a gold standard equipment, involving 10 healthy subjects. For the acquisition of the ECG signals on the toilet seat, polymeric electrodes with different textures were produced and tested. According to the results obtained, some of the textures did not allow the acquisition of signals in all users. However, a pyramidal texture showed the best results in relation to heart rate and ECG waveform morphology. For a texture that has shown 0% signal loss, the mean heart rate difference between the reference and experimental device was − 1.778 ± 4.654 Beats per minute (BPM); in terms of ECG waveform, the best cases present a Pearson correlation coefficient above 0.99.

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Posttransplant Improvement in Heart Rate Variability Correlates with Improved Quality of Life

Western Journal of Nursing Research ◽

10.1177/01939450022044728 ◽

2000 ◽

Vol 22 (6) ◽

pp. 749-768 ◽

Cited By ~ 6

Author(s):

Donna K. Hathaway ◽

Mona N. Wicks ◽

Ann K. Cashion ◽

Patricia A. Cowan ◽

E. Jean Milstead ◽

...

Keyword(s):

Quality Of Life ◽

Heart Rate ◽

Heart Rate Variability

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Daily Stress Monitoring Using Heart Rate Variability of Bathtub ECG Signals

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8512767 ◽

2018 ◽

Cited By ~ 2

Author(s):

Tianhui Li ◽

Ying Chen ◽

Wenxi Chen

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Stress Monitoring ◽

Daily Stress ◽

Ecg Signals

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System to ECG Signals Variability Analysis: Heart Rate Variability and QT Interval Variability

World Congress on Medical Physics and Biomedical Engineering 2006 - IFMBE Proceedings ◽

10.1007/978-3-540-36841-0_279 ◽

2007 ◽

pp. 1160-1163

Author(s):

Daiana Petry ◽

V. Palodeto ◽

D. O. H. Suzuki ◽

J. L. B. Marques

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Qt Interval ◽

Ecg Signals ◽

Variability Analysis ◽

Qt Interval Variability

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Comment on ‘pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability’

Physiological Measurement ◽

10.1088/1361-6579/ac1dec ◽

2021 ◽

Vol 42 (9) ◽

pp. 098001

Author(s):

Jacquelin Peck ◽

Michael J Wishon ◽

Harrison Wittels ◽

Hector Davila ◽

S Howard Wittels ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Pulse Rate ◽

Cardiovascular Health ◽

Pulse Rate Variability

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Mind–body interactive qigong improves physical and mental aspects of quality of life in inpatients with stroke: A randomized control study

European Journal of Cardiovascular Nursing ◽

10.1177/1474515119860232 ◽

2019 ◽

Vol 18 (8) ◽

pp. 658-666 ◽

Cited By ~ 7

Author(s):

Ching-Hsiang Chen ◽

Kuo-Sheng Hung ◽

Yu-Chu Chung ◽

Mei-Ling Yeh

Keyword(s):

Quality Of Life ◽

Heart Rate ◽

Heart Rate Variability ◽

High Frequency ◽

Standard Care ◽

Low Frequency ◽

Control Group ◽

Subacute Stroke ◽

Interactive Exercise

Background: Stroke, a medical condition that causes physical disability and mental health problems, impacts negatively on quality of life. Post-stroke rehabilitation is critical to restoring quality of life in these patients. Objectives: This study was designed to evaluate the effect of a mind–body interactive qigong intervention on the physical and mental aspects of quality of life, considering bio-physiological and mental covariates in subacute stroke inpatients. Methods: A randomized controlled trial with repeated measures design was used. A total of 68 participants were recruited from the medical and rehabilitation wards at a teaching hospital in northern Taiwan and then randomly assigned either to the Chan-Chuang qigong group, which received standard care plus a 10-day mind–body interactive exercise program, or to the control group, which received standard care only. Data were collected using the National Institutes of Health Stroke Scale, Hospital Anxiety and Depression Scale, Short Form-12, stroke-related neurologic deficit, muscular strength, heart rate variability and fatigue at three time points: pre-intervention, halfway through the intervention (day 5) and on the final day of the intervention (day 10). Results: The results of the mixed-effect model analysis showed that the qigong group had a significantly higher quality of life score at day 10 ( p<0.05) than the control group. Among the covariates, neurologic deficit ( p=0.04), muscle strength ( p=0.04), low frequency to high frequency ratio ( p=0.02) and anxiety ( p=0.04) were significantly associated with changes in quality of life. Conversely, heart rate, heart rate variability (standard deviation of normal-to-normal intervals, low frequency and high frequency), fatigue and depression were not significantly associated with change in quality of life ( p >0.05). Conclusions: This study supports the potential benefits of a 10-day mind–body interactive exercise (Chan-Chuang qigong) program for subacute stroke inpatients and provides information that may be useful in planning adjunctive rehabilitative care for stroke inpatients.

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