Pierangelo Maria Rapa

Orcid: 0000-0003-4596-0374

According to our database1, Pierangelo Maria Rapa authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition.
CoRR, June, 2025

PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation.
CoRR, June, 2025

Unobtrusive Multimodal Driver Stress Detection from ECG and PPG Using TCNs.
Proceedings of the IEEE International Workshop on Metrology for Automotive, 2025

2024
sEMG-Driven Hand Dynamics Estimation With Incremental Online Learning on a Parallel Ultra-Low-Power Microcontroller.
IEEE Trans. Biomed. Circuits Syst., August, 2024

Real-Time Motor Unit Tracking From sEMG Signals With Adaptive ICA on a Parallel Ultra-Low Power Processor.
IEEE Trans. Biomed. Circuits Syst., August, 2024

Wearable High-Density sEMG Processing with Class Activation Maps with an Embedded Temporal Convolutional Network.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

Embedded Multi-Sensor Smartwatch for Computationally Intensive Biosignal Processing.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

Wearable, Real-time Drowsiness Detection based on EEG-PPG Sensor Fusion at the Edge.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
ANGELS - Smart Steering Wheel for Driver Safety.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023

An Adaptive Dynamic Mixing Model for sEMG Real-Time ICA on an Ultra-Low Power Processor.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring.
ACM Trans. Comput. Heal., 2022


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