Story perspectives

New Study Unveils Digital Muscle Marker for Assessment

11/6/2025

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Summary

Story summary

A new study developed a digital muscle marker using surface muscle contraction signals (SMCS) to assess muscle properties, incorporating time- and frequency-domain features such as correlation and spectral edge frequency, as well as age and weight.
The training dataset included 122 participants, comprising healthy adults and older adults, all without specific health conditions.
The model's reliability was evaluated with intraclass correlation coefficients.

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Story summary

A new study developed a digital muscle marker using surface muscle contraction signals (SMCS) to assess muscle properties, incorporating time- and frequency-domain features such as correlation and spectral edge frequency, as well as age and weight.
The training dataset included 122 participants, comprising healthy adults and older adults, all without specific health conditions.
The model's reliability was evaluated with intraclass correlation coefficients.