What is the clinical evidence from this study?

Study design: Other. Intervention: Wearable distributed-deflection sensor. Primary outcome: Radial and carotid pulse signals, Pulse Wave Velocity (PWV), and Augmentation Index (AI).

What does this research mean for the field?

A wearable flexible distributed-deflection sensor reliably records radial and carotid pulse waveforms and yields tonometric parameters that align with expected physiological variations across age, gender, and hypertension. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate the feasibility and performance of a wearable distributed-deflection sensor in capturing radial and carotid arterial pulse waveforms and extracting clinically relevant tonometric parameters.

May 16, 2017IEEE Sensors Journal

Performance Investigation of a Wearable Distributed-Deflection Sensor in Arterial Pulse Waveform Measurement

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Key result

Wearable distributed-deflection sensor successfully records radial and carotid pulse waveforms matching expected physiological variations.

Population

5 subjects

Design

Other

Authors

DWDan WangHubei University of Arts and Science JSJiayue ShenPeking University LMLanju MeiUniversity of Maryland Eastern Shore

Discussion

Member takes

Implication

Initial feasibility shown in 5 subjects; leaves open larger validation for clinical tonometry.

Key Points

To evaluate the feasibility and performance of a wearable distributed-deflection sensor in capturing radial and carotid arterial pulse waveforms and extracting clinically relevant tonometric parameters.
Engineered a flexible sensor incorporating an electrolyte-enabled resistive transducer array embedded within a polymer microstructure to measure arterial wall deflection.
Acquired radial and carotid pulse waveforms from five subjects (N=5) under two-finger hold-down pressure.
Applied custom MATLAB signal-processing algorithms to eliminate motion artifacts and compute Pulse Wave Velocity (PWV) and Augmentation Index (AI).
Extracted tonometric parameters from radial and carotid waveforms corresponded closely with established reference ranges in existing literature.
Derived PWV and radial and carotid AI measurements showed clear physiological differentiation aligning with subject age, gender, and hypertension status.
Repeatability evaluations verified sensor stability and confirmed consistent pulse signal acquisition across variations in manual hold-down pressure.

Structured PICO

Population

5 subjects evaluated for radial and carotid pulse signals using a wearable distributed-deflection sensor.

Exposure

Wearable distributed-deflection sensor for arterial pulse waveform measurement

Outcome

Arterial pulse waveform measurement (radial and carotid), Pulse Wave Velocity (PWV), and Augmentation Index (AI)surrogate

A novel wearable distributed-deflection sensor can successfully measure arterial pulse waveforms and derive physiologically relevant tonometric parameters like PWV and AI.

Cite This Study

Wang et al. (2017) studied this question. Wearable distributed-deflection sensor was evaluated on Radial and carotid pulse signals, Pulse Wave Velocity (PWV), and Augmentation Index (AI). A wearable distributed-deflection sensor successfully recorded radial and carotid pulse waveforms in 5 subjects, with derived tonometric parameters showing good agreement with expected physiological variations.

synapsesocial.com/papers/6aa8e06ef153b06b0dd917d7 https://doi.org/10.1109/jsen.2017.2704903

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Performance Investigation of a Wearable Distributed-Deflection Sensor in Arterial Pulse Waveform Measurement

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Performance Investigation of a Wearable Distributed-Deflection Sensor in Arterial Pulse Waveform Measurement

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

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