Thanks to emerging sensing and acquisition technologies, wearable and implantable systems are able to access physiologically\u2010indicative signals (e.g., ECG, EEG, ECoG, LFPs, etc.) at low power levels, making possible devices of potentially high scientific and clinical value. The signals, however, represent the superposition of many simultaneous physiological processes. Detecting targeted states therefore requires high\u2010order analysis. Sub\u2010threshold computational devices have been demonstrated for basic but low\u2010energy signal processing. Higher\u2010order signal models incur substantially higher computational power, challenging the viability of advanced analysis in wearable and implantable devices<\/p>\n","protected":false},"excerpt":{"rendered":"
Thanks to emerging sensing and acquisition technologies, wearable and implantable systems are able to access physiologically\u2010indicative signals (e.g., ECG, EEG, ECoG, LFPs, etc.) at low power levels, making possible devices of potentially high scientific and clinical value. The signals, however, represent the superposition of many simultaneous physiological processes. Detecting targeted states therefore requires high\u2010order analysis. 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