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April 20, 2026Physical Therapy KoreaOpen Access

Classifying Possible Sarcopenia With a Single Inertial Sensor During Gait

Junwoo Park Kitaek Lim Seyoung Lee J T Choi Donggeon Kim Sungmin Chun Soyeon Yoon Woochol Joseph Choi

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Key Points

The aim is to classify sarcopenia through gait analysis using a single inertial sensor.
Incorporated a single inertial sensor to assess gait parameters.
Applied classification algorithms to interpret the data collected during walking trials.
Evaluated the sensor's effectiveness as a biomarker for detecting sarcopenia.
Successfully identified gait patterns that correlate with sarcopenia.
Demonstrated a reliable classification method using the inertial sensor.
Highlighted the potential for early diagnosis of sarcopenia through gait analysis.

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Implication

Classifies sarcopenia using a single inertial sensor during gait, indicating a novel biomarker for assessment.

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Cite This Study

Park et al. (2026) studied this question.

synapsesocial.com/papers/69e866616e0dea528ddead27 https://doi.org/10.12674/ptk.2026.33.1.36

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