Electrode Comparison for Heart Rate Detection via Bioimpedance Measurements

Lapsa, Didzis; Janeliukstis, Rimas; Elsts, Atis

doi:10.1109/mttw56973.2022.9942569

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…For reading the bioimpedance signals, two stainless steel electrodes are connected to the MAX30001 chip. The considerations behind the electrode design are described in [2].…”

Section: Microcontroller and Radiomentioning

confidence: 99%

“…The initial electrode size was approximately 8 mm × 18.5 mm, but this was later changed to larger electrodes with dimensions of 18.5 mm × 44 mm to improve the contact area with the skin. The decision to use stainless steel electrodes was based on previous research on electrode materials and their properties, with particular emphasis on their effectiveness in heart rate detection [2].…”

Section: Experimental Measurementsmentioning

confidence: 99%

“…Existing approaches for signal quality assessment in bioimpedance monitoring mainly focus on traditional signal-to-noise ratio (SNR) estimation techniques such as autocorrelation [2]. However, these universal methods fail to take into account the specific shape and features of bioimpedance signals; in short, the issue lies in the difficulty of identifying the reference signal that should be compared with the noise.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring

Lapsa,

Janeliukstis,

Elsts

2023

Sensors

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Bioimpedance monitoring is an increasingly important non-invasive technique for assessing physiological parameters such as body composition, hydration levels, heart rate, and breathing. However, sensor signals obtained from real-world experimental conditions invariably contain noise, which can significantly degrade the reliability of the derived quantities. Therefore, it is crucial to evaluate the quality of measured signals to ensure accurate physiological parameter values. In this study, we present a novel wrist-worn wearable device for bioimpedance monitoring, and propose a method for estimating signal quality for sensor signals obtained on the device. The method is based on the continuous wavelet transform of the measured signal, identification of wavelet ridges, and assessment of their energy weighted by the ridge duration. We validate the algorithm using a small-scale experimental study with the wearable device, and explore the effects of variables such as window size and different skin/electrode coupling agents on signal quality and repeatability. In comparison with traditional wavelet-based signal denoising, the proposed method is more adaptive and achieves a comparable signal-to-noise ratio.

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“…For reading the bioimpedance signals, two stainless steel electrodes are connected to the MAX30001 chip. The considerations behind the electrode design are described in [2].…”

Section: Microcontroller and Radiomentioning

confidence: 99%

Section: Experimental Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring

Lapsa,

Janeliukstis,

Elsts

2023

Sensors

Self Cite

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PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review

Lapsa,

Janeliukstis,

Metshein

et al. 2024

Applied Sciences

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The monitoring of hemodynamic parameters, such as heart rate and blood pressure, provides valuable indications of overall cardiovascular health. It is preferable that such monitoring is non-invasive and in real time via an affordable, compact and small-scale device for maximum convenience. Numerous literature sources have exploited derivations of these parameters from photoplethysmogram (PPG) and electrical bioimpedance (EBI) signal measurements through the use of calculation algorithms of varying complexity. Compared to electrocardiogram (ECG), these measurement techniques have a merit of well-established practices of designing a wearable device that could conveniently be put on a wrist. The current paper provides a comprehensive review on the use of PPG and EBI measurement techniques in the context of hemodynamic parameter monitoring using a wearable device. A special emphasis is placed on the most basic hemodynamic parameter—heart rate—describing different algorithms of heart rate detection and monitoring. The last section provides an overview of commercially available and in-home wearable device technologies based on PPG and EBI measurements, their design challenges, and future prospects.

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Electrode Comparison for Heart Rate Detection via Bioimpedance Measurements

Cited by 2 publications

References 10 publications

Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring

Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring

PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review

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