Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection

Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients, where HR trends can signal stress or agitation. Developing wearable technologies that can perform always-on monitoring...

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Bibliographic Details
Published inBiomedical Circuits and Systems Conference pp. 1 - 5
Main Authors Carpegna, Alessio, Luca, Chiara De, Pozzi, Federico Emanuele, Savino, Alessandro, Carlo, Stefano Di, Indiveri, Giacomo, Donati, Elisa
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.10.2024
Subjects
Biomedical monitoring
Dementia
Heart rate
Monitoring
Neuromorphics
Stress
Switches
Wearable devices
Wrist
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Summary:Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients, where HR trends can signal stress or agitation. Developing wearable technologies that can perform always-on monitoring of HRs is essential to effectively detect slow changes over extended periods of time. However, designing compact electronic circuits that can monitor and process bio-signals continuously, and that can operate in a low-power regime to ensure longlasting performance, is still an open challenge. Neuromorphic technology offers an energy-efficient solution for real-time health monitoring. We propose a neuromorphic implementation of a Neural State Machine (NSM) network to encode different health states and switch between them based on the input stimuli. Our focus is on detecting monotonic state switches in electrocardiogram data to identify progressive HR increases. This innovative approach promises significant advancements in continuous health monitoring and management.
ISSN:2766-4465
DOI:10.1109/BioCAS61083.2024.10798178