428 citations · 4.5k across the 191 of their papers we have counts for
29 papers · 1 filter
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation
Alessio Burrello, Matteo Risso, Noemi Tomasello +5
Modern smartwatches often include photoplethysmographic (PPG) sensors to measure heartbeats or blood pressure through complex algorithms that fuse PPG data with other signals. In t…
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs
Hanna Müller, Nicky Zimmerman, Tommaso Polonelli +4
Nano-size unmanned aerial vehicles (UAVs) hold enormous potential to perform autonomous operations in complex environments, such as inspection, monitoring or data collection. Moreo…
An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface
Jiawei Liao, Lars Widmer, Xiaying Wang +5
Brain-machine interfaces (BMIs) are promising for motor rehabilitation and mobility augmentation. High-accuracy and low-power algorithms are required to achieve implantable BMI sys…
Energy-Efficient Tree-Based EEG Artifact Detection
Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti +1
In the context of epilepsy monitoring, EEG artifacts are often mistaken for seizures due to their morphological similarity in both amplitude and frequency, making seizure detection…
Robust and Energy-efficient PPG-based Heart-Rate Monitoring
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari +4
A wrist-worn PPG sensor coupled with a lightweight algorithm can run on a MCU to enable non-invasive and comfortable monitoring, but ensuring robust PPG-based heart-rate monitoring…
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition
Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer +5
Human-machine interaction is gaining traction in rehabilitation tasks, such as controlling prosthetic hands or robotic arms. Gesture recognition exploiting surface electromyographi…