Activity recognition with wearable sensors on loose clothing.

These features can also be selected a priori, for example in myopathic studies, decomposing raw electromyographic signals into frequency domain information often results in highly significant differences between healthy and myopathic patients, increasing the accuracy when diagnosing neuromuscular disorders [ 27 ].

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