Evidence map›Paper›PMID 42451280›Full record

ArticleSensors (Basel, Switzerland)2026

A Dual-Channel Strain Gauge Force Plate System with Hardware-Triggered Synchronization for Countermovement Jump Analysis.

Yue Chen, Guiyang Liu, Yuhao Jia

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

3 authors.

Yue ChenCollege of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300457, China.
Guiyang LiuCollege of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300457, China.
Yuhao JiaCollege of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300457, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Countermovement jump (CMJ) analysis is widely used to assess lower limb neuromuscular function, but commercial force plates often suffer from high cost, closed algorithms, and lack of bilateral independent measurement. This study developed and evaluated a dual channel strain gauge force plate system featuring open architecture and hardware-triggered video synchronization. The system consists of two physically isolated plates, each with four full bridge strain beams, a precision analog front end, and a 2000 Hz acquisition unit. A microcontroller-based hardware trigger synchronizes force data with video capture. Custom host software implements adaptive jump phase recognition and calculates peak force (PF), concentric impulse, jump height, rate of force development (RFD), and asymmetry index (ASI). Validation included static mass measurements in 14 participants, low-load static calibration (5.0-30.0 kg), free-fall impulse validation (7.00 to 31.32 N·s), 240 fps high-speed video cross validation of flight time, ecological-validity comparison with published AMTI-based force-plate data, and 48 h test-retest reliability assessment. Static mass measurement showed a mean absolute percentage error (MAPE) of 1.01% and a coefficient of determination (R2) of 0.9992, while low-load testing confirmed excellent linearity (R2>0.996) and minimal absolute error (mean absolute error = 0.34 kg) at lighter weights. Dynamic impulse validation yielded R2>0.997 and MAPE < 3%. Flight time agreement with high-speed video was within ±10 ms. Test-retest reliability was excellent for concentric impulse (intraclass correlation coefficient (ICC) = 0.997) and jump height (ICC = 0.987), and good for PF (ICC = 0.962) and rate of force development at 100 ms (RFD

Indexed as

bilateral asymmetrybiomechanical measurementcountermovement jumpforce platehardware synchronizationopen architecturestrain gaugetest-retest reliability

Identifiers

PMID42451280
PMCPMC13363840

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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.