Key result
A data compression method using adaptive delta modulation achieved S/N ratios above 37, 45, and 52 dB at sampling intervals of 24, 48, and 100 ms, enabling continuous monitoring for up to 12 hours.
A newly developed data compression method using adaptive delta modulation allows for continuous long-term monitoring of myoelectric signals with high fidelity.
May enable extended myoelectric monitoring in research settings; leaves open clinical validation and adoption.
It is desired in medicine and sport science to develop a lightweight and small‐sized measuring device which can estimate the generated force of muscle from a myo‐electric signal and monitor that signal for a long time. The purpose of this study is to develop a data compression method for the myoelectric signal. First, the myoelectric signal is full‐wave rectified and smoothed to extract the generated force (equivalent isometric tension) of the muscle. The smoothing filter was designed based on the measurements of the myoelectric signal and the force in the isometric contraction. Next, the waveform of the signal (FEMG) after a full‐wave rectification and smoothing is encoded by the adaptive delta modulation (ADM), and the result is stored in the memory. The parameters of ADM were determined in the optimal way for the myoelectric signal. FEMG signals were constructed from fast motion such as occurs in sports, usual motion such as walking, and the delay motion of a neural‐diseased patient, at sampling intervals of 24, 48 and 100 ms. The S/N ratios of ADM data were calculated as above 37, 45 and 52 dB, respectively. A portable computer (8‐bit CPU and 64‐kB memory) with the data compression program was constructed which can measure continuously the myoelectric signal of a normal subject for up to 12 hours. The decoded signal agreed well with the original FEMG, indicating the usefulness of the developed data compression method and the measuring system.
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Akazawa et al. (1989) studied this question. Data compression method for myoelectric signal (adaptive delta modulation) was evaluated on Signal-to-noise (S/N) ratios of ADM data. A data compression method using adaptive delta modulation achieved S/N ratios above 37, 45, and 52 dB at sampling intervals of 24, 48, and 100 ms, enabling continuous monitoring for up to 12 hours.
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