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Hybrid EMG classifier based on HMM and SVM for hand gesture recognition in prosthetics
(2015)2015 IEEE International Conference on Industrial Technology (ICIT)Conference Paper -
PULP-HD: Accelerating Brain-Inspired High-Dimensional Computing on a Parallel Ultra-Low Power Platform
(2018)Proceedings of the 55th Annual Design Automation ConferenceConference Paper -
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition
(2022)2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)Human-machine interaction is gaining traction in rehabilitation tasks, such as controlling prosthetic hands or robotic arms. Gesture recognition exploiting surface electromyographic (sEMG) signals is one of the most promising approaches, given that sEMG signal acquisition is non-invasive and is directly related to muscle contraction. However, the analysis of these signals still presents many challenges since similar gestures result in ...Conference Paper -
Energy-Efficient Tree-Based EEG Artifact Detection
(2022)2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)In the context of epilepsy monitoring, EEG artifacts are often mistaken for seizures due to their morphological simi-larity in both amplitude and frequency, making seizure detection systems susceptible to higher false alarm rates. In this work we present the implementation of an artifact detection algorithm based on a minimal number of EEG channels on a parallel ultra-low-power (PULP) embedded platform. The analyses are based on the TUH ...Conference Paper -
A Wireless System for EEG Acquisition and Processing in an Earbud Form Factor with 600 Hours Battery Lifetime
(2022)2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)In recent years, in-ear electroencephalography (EEG) was demonstrated to record signals of similar quality compared to standard scalp-based EEG, and clinical applications of objective hearing threshold estimations have been reported. Existing devices, however, still lack important features. In fact, most of the available solutions are based on wet electrodes, require to be connected to external acquisition platforms, or do not offer ...Conference Paper -
An Optimized Heart Rate Detection System Based onLow-Power Microcontroller Platforms forBiosignal Processing
(2023)Lecture Notes in Networks and Systems ~ Advances in System-Integrated IntelligenceThe real-time detection of the R peaks of the ECG signal is crucial to provide information on cardiac functionality, and several strategies have been presented in the past. In this work, we adapt the classical Pan and Tompkins (PT) algorithm for efficient execution on low-power microcontroller (MCU) platforms to design a full-fledged heart rate detection system. We target a commercial MCU based on ARM Cortex-M4 and an ultra-low-power ...Conference Paper