A Wearable Biofeedback System Supporting Real-Time Paced Breathing Training and Physiological Monitoring

Zhang, Zheng-Bo; Wu, Hao; Zheng, Jiewen; Wang, Weidong; Wang, Buqing; Liu, Hongyun; Wang, Guo-Jing

doi:10.4015/s101623721350018x

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…For example, there exists an FDA-approved device, RESPeRATE that can detect a person’s breathing rate using a chest strap (Anderson et al, 2009 ). Such data then can be used to judge if the person’s breathing is compliant with the breath pacer during a meditation session (Zhang et al, 2013 ).…”

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

“…For example, there exists an FDA-approved device, RESPeRATE that can detect a person's breathing rate using a chest strap (Anderson et al, 2009). Such data then can be used to judge if the person's breathing is compliant with the breath pacer during a meditation session (Zhang et al, 2013).…”

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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Quantifying the Accumulated Stress Level Using a Point-of-Care Test Device

Chen

Lin

Young

et al. 2014

Biomed. Eng. Appl. Basis Commun.

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This study developed a portable embedded multi-sensor fusion for point-of-care health monitoring to evaluate the accumulated stress levels of affected people. The instrument integrates numerous physiological parameters to quantify the level of accumulated stress, which is one of the leading causes of cardiovascular disease. The participants in this study were assigned daily mental arithmetic tasks over one week to simulate stress-accumulation conditions. Fuzzy logic rules were defined to quantify the accumulated stress level by combining electrodermal activity (EDA) and electrocardiograph (ECG) and photoplethysmograph (PPG) signals. The trends of 21 physiological parameters were analyzed and compared, from which the following four physiological parameters were identified as being representative of the effective response to cumulative stress: (1) the heart rate, (2) the ratio of low- to high-frequency powers for heart rate variability (HRV), (3) the skin conductance level (SCL) and (4) the liver harmonic proportion (i.e. the first harmonic of the peripheral blood volume pulse spectrum). Subsequently, the observed trends of these four parameters were combined to enhance the robustness and the reliability of the proposed system by adjusting the applied fuzzy logic rules. The experimental results show an 82% correlation between the measured level of accumulated stress and the social readjustment rating scale (SRRS) obtained from subject-independent testing.

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A Wearable Biofeedback System Supporting Real-Time Paced Breathing Training and Physiological Monitoring

Cited by 3 publications

References 19 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?

Quantifying the Accumulated Stress Level Using a Point-of-Care Test Device

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