Evidence map›Paper›PMID 40422064›Full record

ArticleBiosensors2025

Strain Plethysmography Using a Hermetically Sealed MEMS Strain Sensor.

Xinyu Jiang, Brian Sang, Haoran Wen, Gregory Junek, Jin-Woo Park, Farrokh Ayazi

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xinyu JiangSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Brian SangSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0001-9054-8958
Haoran WenStethX Microsystems Inc., Atlanta, GA 30308, USA.
Gregory JunekStethX Microsystems Inc., Atlanta, GA 30308, USA.
Jin-Woo ParkStethX Microsystems Inc., Atlanta, GA 30308, USA.
Farrokh AyaziSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a hermetically sealed capacitive microelectromechanical system (MEMS) strain sensor designed for arterial pulse waveform extraction using the strain plethysmography (SPG) modality. The MEMS strain sensor features a small form factor of 3.3 mm × 3.3 mm × 1 mm, leverages a nano-gap fabrication process to improve the sensitivity, and uses a differential sensing mechanism to improve the linearity and remove the common mode drift. The MEMS strain sensor is interfaced with an application-specific integrated circuit (ASIC) to form a compact strain sensing system. This system exhibits a high strain sensitivity of 316 aF/µε, a gauge factor (GF) of 35, and a strain sensing resolution of 1.26 µε, while maintaining a linear range exceeding 700 µε. SPG signals have been reliably captured at both the fingertip and wrist using the MEMS strain sensor with high signal quality, preserving various photoplethysmography (PPG) features. Experimental results demonstrate that heart rate (HR) and heart rate variability (HRV) can be estimated from the SPG signal collected at the fingertip and wrist using the sensor with an accuracy of over 99%. Pulse arrival time (PAT) and pulse transit time (PTT) have been successfully extracted using the sensor together with a MEMS seismometer, showcasing its potential for ambulatory BP monitoring (ABPM) application.

Indexed as

Biosensing TechniquesMicro-Electrical-Mechanical SystemsPlethysmographyHeart RateHumansPulse Wave Analysisarterial pulse waveformBlood Pressurecardiovascular diseaseMEMSpulse transit timestrain sensors

Identifiers

PMID40422064
PMCPMC12110129

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.