We substantiate this finding with off-lineĪnalysis and comparison, as well as with a complete embedded On the other hand, adaptiveįiltering techniques are robust and well-suited for lightweight Removal algorithms are not usable in this challenging context,īecause they lack robustness or they require off-line processingĪnd large amounts of available data. Wearable real-time processing scenario, assessing performance onĮMG and ECG signals. The paper analyzes in depth basicĪnd advanced PLI filtering techniques and evaluates them in a The on-board real-time PLI filtering on a low-power bio-potentialĪcquisition wearable system. Time ensuring medical-grade signal acquisition quality, including Requires specific solutions, such as wearable devices that shouldīe particularly comfortable for patients, while at the same Monitor the evolution of several widespread diseases. Mobile and long-term recording of biomedical signals such as ECG, EMG and EEG can improve diagnosis and
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