Dynamic Phase Extraction: Applications in Pulse Rate Variability

Li, Christopher H.; Ly, Franklin; Woodhouse, Kegan; Chen, John; Cheng, Zhuowei; Santander, Tyler; Ashar, Nirmit; Turki, Elyes; Yang, Henry T. Y.; Miller, M.K.; Petzold, Linda R.; Hansma, Paul K.

doi:10.1007/s10484-022-09549-z

Cited by 3 publications

(2 citation statements)

References 36 publications

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“…In this paper we explored the possibility of using pulse rate variability to determine compliance with a breath pacer. Recently, a novel technique to calculate the magnitude of pulse rate variability has been developed known as Dynamic Phase Extraction (DPE) (Li et al, 2022 ). DPE calculates how much the pulse rate of a person varies during a single breath due to respiratory sinus arrhythmia as well as its phase shift relative to breath (Fig.…”

Section: Introductionmentioning

confidence: 99%

Can Pulse Rate Variability be Used to Monitor Compliance with a Breath Pacer?

Sokolovskiy,

Arroyo,

Hansma

2024

Appl Psychophysiol Biofeedback

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Slow paced breathing has been demonstrated to provide significant health benefits for a person’s health, and, during breathing sessions, it is desirable to monitor that a person is actually compliant with the breath pacer. We explore the potential use of pulse rate variability to monitor compliance with a breath pacer during meditation sessions. The study involved 6 human subjects each participating in 2–3 trials, where they are asked to follow or not to follow the breath pacer, where we collected data on how the magnitude of pulse rate variability changed. Two methods, logistic regression and a running standard deviation technique, were developed to detect non-compliance with the breath pacer based on pulse rate variability metrics. Results indicate that using pulse rate variability alone may not reliably detect non-compliance with the breath pacer. Both models exhibited limitations in terms of false positives and false negatives, with accuracy ranging from 67 to 65%. Existing methods involving visual, audio, and motion signals currently perform better for monitoring compliance with the breath pacer.

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Section: Introductionmentioning

confidence: 99%

Can Pulse Rate Variability be Used to Monitor Compliance with a Breath Pacer?

Sokolovskiy,

Arroyo,

Hansma

2024

Appl Psychophysiol Biofeedback

View full text Add to dashboard Cite

show abstract

“…In this paper we explored the possibility of using pulse rate variability to determine compliance with a breath pacer. Recently, a novel technique to calculate the magnitude of pulse rate variability has been developed known as Dynamic Phase Extraction (DPE) (Li et al, 2022). DPE calculates how much the pulse rate of a person varies during a single breath due to respiratory sinus arrhythmia as well as its phase shift relative to breath (Fig.…”

Section: Introductionmentioning

confidence: 99%

Can Pulse Rate Variability be used to monitor compliance with a breath pacer?

Sokolovskiy,

Arroyo,

Paul

2023

Preprint

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Slow paced breathing has been demonstrated to provide significant health benefits for a person's health, and, during breathing sessions, it is desirable to monitor that a person is actually compliant with the breath pacer. We explore the potential use of pulse rate variability to monitor compliance with a breath pacer during meditation sessions. The study involved 6 human subjects each participating in 2–3 trials, where they are asked to follow or not to follow the breath pacer, where we collected data on how the magnitude of pulse rate variability changed. Two methods, logistic regression and a running standard deviation technique, were developed to detect non-compliance with the breath pacer based on pulse rate variability metrics. Results indicate that using pulse rate variability alone may not reliably detect non-compliance with the breath pacer. Both models exhibited limitations in terms of false positives and false negatives, with accuracy ranging from 67–65%. Existing methods involving visual, audio, and motion signals currently perform better for monitoring compliance with the breath pacer.

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Home-Use and Portable Biofeedback Lowers Anxiety and Pain in Chronic Pain Subjects

Ly,

Santander,

Pavlov

et al. 2023

American Journal of Lifestyle Medicine

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In this study, we investigated the use of novel, home-use and portable biofeedback devices in a remote program for managing chronic pain. In three separate 4-week pilot studies, participants engaged in twice-daily, 10-minute biofeedback sessions, with self-assessed reductions in anxiety and pain levels using the 6-item State-Trait Anxiety Inventory (STAI-6) and Visual Analogue Scale (VAS), respectively, in Studies 2 and 3. Among these 113 (Study 2) and 237 (Study 3) biofeedback sessions, 81 (∼72%) and 130 (∼55%) showed reductions in pain, while 93 (∼82%) and 184 (∼78%) experienced reductions in anxiety. A positive relationship was found between anxiety and pain reduction, indicating that larger reductions in anxiety correspond to larger reductions in pain. In Study 1, only anxiety reductions were measured: across 143 biofeedback sessions, 127 experienced reductions in anxiety (∼89%). Participants in all studies demonstrated reductions in baseline to final results in pain, anxiety, and showed increases in satisfaction and recovery. Our results provide strong evidence that portable biofeedback devices can enhance pain management programs by helping to alleviate anxiety and pain in individuals living with chronic conditions. This study can provide a basis for the integration of biofeedback devices into the expanding research of lifestyle and integrative medicine.

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Dynamic Phase Extraction: Applications in Pulse Rate Variability

Cited by 3 publications

References 36 publications

Can Pulse Rate Variability be Used to Monitor Compliance with a Breath Pacer?

Can Pulse Rate Variability be Used to Monitor Compliance with a Breath Pacer?

Can Pulse Rate Variability be used to monitor compliance with a breath pacer?

Home-Use and Portable Biofeedback Lowers Anxiety and Pain in Chronic Pain Subjects

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