Simulation framework for reflective PPG signal analysis depending on sensor placement and wavelength

Reiser, Maximilian; Breidenassel, Andreas; Amft, Oliver

doi:10.1109/bsn56160.2022.9928522

Cited by 3 publications

(2 citation statements)

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“…However, this approach may have limitations in terms of accuracy and reliability, as it relies on algorithms that may not always accurately detect and correct motion artifacts. Another strategy to mitigate motion artifacts in PPG measurements is to consider the device placement and adhesive strategy (53). Properly securing the PPG sensor or device to the subject’s skin with the correct amount of pressure (54) can reduce the interference of motion artifacts.…”

Section: Discussionmentioning

confidence: 99%

Development and Calibration of a PATCH Device for Monitoring Children’s Heart Rate and Acceleration

ARMSTRONG,

WEAVER,

MCANINCH

et al. 2024

Medicine &Amp; Science in Sports &Amp; Exercise

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Introduction Current wearables that collect heart rate and acceleration were not designed for children and/or do not allow access to raw signals, making them fundamentally unverifiable. This study describes the creation and calibration of an open-source multichannel platform (PATCH) designed to measure heart rate and acceleration in children ages 3-8 years. Methods Children (N = 63; Mean age = 6.3) participated in a 45-minute protocol ranging in intensities from sedentary to vigorous activity. Actiheart-5 was used as a comparison measure. We calculated mean bias, mean absolute error (MAE) mean absolute percent error (MA%E), Pearson correlations and Lin’s concordance correlation coefficient (CCC). Results Mean bias between PATCH and Actiheart heart rate was 2.26 BPM, MAE was 6.67 BPM and M%E was 5.99%. The correlation between PATCH and Actiheart HR was .89 and CCC was .88. For acceleration, mean bias was 1.16 mg and MAE was 12.24 mg. The correlation between PATCH and Actiheart was .96 and CCC was .95. Conclusions The PATCH demonstrated clinically acceptable accuracies to measure heart rate and acceleration compared to a research grade device.

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Section: Discussionmentioning

confidence: 99%

Development and Calibration of a PATCH Device for Monitoring Children’s Heart Rate and Acceleration

ARMSTRONG,

WEAVER,

MCANINCH

et al. 2024

Medicine &Amp; Science in Sports &Amp; Exercise

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show abstract

“…Human blood hemoglobin predominantly comprises oxyhemoglobin, reduced hemoglobin, and trace amounts of methemoglobin and carboxyhemoglobin. In the Near-Infrared (NIR) band, the absorption coefficients of water and plasma proteins are much smaller than those of hemoglobin [ 20 ]. Consequently, hemoglobin is the primary absorbing entity in the dynamic segment of PPG.…”

Section: Principles and Methodsmentioning

confidence: 99%

A Non-Invasive Hemoglobin Detection Device Based on Multispectral Photoplethysmography

Zhu,

Sun,

Liu

et al. 2023

Biosensors

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The measurement of hemoglobin is a vital index for diagnosing and monitoring diseases in clinical practice. At present, solutions need to be found for the soreness, high risk of infection, and inconvenient operation associated with invasive detection methods. This paper proposes a method for non-invasively detecting hemoglobin levels based on multi-wavelength photoplethysmography (PPG) signals. AFE4490 and TMUX1109 were used to implement the low-cost collection of an eight-LED transmissive PPG signal. We used seven regular LEDs and one broadband LED (Osram SFH4737) as light sources. Additionally, a finger clip integrating multiple sensors was designed and manufactured via 3D printing to simultaneously monitor the LED–sensor distance and the pressure from the tester’s finger during PPG signal acquisition. We used a method to extract features from PPG signals using a sliding-window’s variance and an evaluation metric for PPG signals based on the AdaCost classification. Data were gathered from 56 participants from the Nephrology department, including 16 anemic patients. Pearson correlation analysis was conducted on the collected data to remove any data with a weak correlation. The advantage of using a broadband LED as a light source was also demonstrated. Several non-invasive hemoglobin regression models were created by applying AdaBoost, BPNN, and Random Forest models. The study’s results indicate that the AdaBoost model produced the best performance, with a mean absolute error (MAE) of 2.67 g/L and a correlation coefficient (R2) of 0.91 The study results show that the device we designed and manufactured can achieve effective non-invasive hemoglobin detection and represents a new methodological approach to obtaining measurements that can be applied in a clinical setting.

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Comparison of non-pulsating reflective PPG signals in skin phantom, wearable device prototype, and Monte Carlo simulations

Reiser,

Müller,

Flock

et al. 2023

2023 45th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Simulation framework for reflective PPG signal analysis depending on sensor placement and wavelength

Cited by 3 publications

References 0 publications

Development and Calibration of a PATCH Device for Monitoring Children’s Heart Rate and Acceleration

Development and Calibration of a PATCH Device for Monitoring Children’s Heart Rate and Acceleration

A Non-Invasive Hemoglobin Detection Device Based on Multispectral Photoplethysmography

Comparison of non-pulsating reflective PPG signals in skin phantom, wearable device prototype, and Monte Carlo simulations

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