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EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems
In this paper, we introduce EpiDeNet, a lightweight seizure detection network, and a novel loss function (SSWCE) to address imbalanced datasets, achieving high accuracy, reduced false positives, and energy-efficient performance on low-power embedded platforms.
Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sándor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini
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EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems
EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices
EEGformer, a compact transformer model for seizure detection on raw EEG traces, demonstrating efficient execution on MCUs with competitive accuracy.
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Moritz Scherer, Matteo Antonio Scrugli, Paolo Meloni, Luca Benini
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EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices
Energy-Efficient Tree-Based EEG Artifact Detection
In this paper, we present implementations of energy-efficient artifact detection algorithms on a parallel ultra-low power platform.
Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti, Luca Benini
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Energy-Efficient Tree-Based EEG Artifact Detection
Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering
In this paper, we present Clustering-Based REDuction (C-BRED), a new technique to reduce the size of NAS search spaces.
Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani
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Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices
In this paper, we present implementations of seizure detection algorithms on a parallel ultra-low power platform.
Thorir Mar Ingolfsson, Andrea Cossettini, Xiaying Wang, Enrico Tabanelli, Giuseppe Tagliavini, Philippe Ryvlin, Luca Benini, Simone Benatti
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Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
In this paper, we propose ECG-TCN, a novel temporal convolutional network (TCN) that achieves outstanding accuracy while requiring few trainable parameters.
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
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ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces
In this paper, we propose EEG-TCNet, a novel temporal convolutional network (TCN) that achieves outstanding accuracy while requiring few trainable parameters.
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini
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EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces