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Thorir Mar Ingolfsson
Thorir Mar Ingolfsson
Doctoral student, ETH Zurich
Verified email at iis.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
EEG-TCNet: An accurate temporal convolutional network for embedded motor-imagery brain–machine interfaces
TM Ingolfsson, M Hersche, X Wang, N Kobayashi, L Cavigelli, L Benini
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
1342020
ECG-TCN: Wearable cardiac arrhythmia detection with a temporal convolutional network
TM Ingolfsson, X Wang, M Hersche, A Burrello, L Cavigelli, L Benini
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
292021
Towards long-term non-invasive monitoring for epilepsy via wearable EEG devices
TM Ingolfsson, A Cossettini, X Wang, E Tabanelli, G Tagliavini, P Ryvlin, ...
2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), 01-04, 2021
202021
Eegformer: Transformer-based epilepsy detection on raw eeg traces for low-channel-count wearable continuous monitoring devices
P Busia, A Cossettini, TM Ingolfsson, S Benatti, A Burrello, M Scherer, ...
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 640-644, 2022
132022
Energy-efficient tree-based EEG artifact detection
TM Ingolfsson, A Cossettini, S Benatti, L Benini
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
102022
Insights into LSTM architecture
TM Ingolfsson
https://thorirmar.com/post/insight_into_lstm/, 2021
92021
Reducing neural architecture search spaces with training-free statistics and computational graph clustering
TM Ingolfsson, M Vero, X Wang, L Lamberti, L Benini, M Spallanzani
Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022
32022
Reducing False Alarms in Wearable Seizure Detection with EEGformer: A Compact Transformer Model for MCUs
P Busia, A Cossettini, TM Ingolfsson, S Benatti, A Burrello, VJB Jung, ...
IEEE Transactions on Biomedical Circuits and Systems, 2024
12024
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping
L Schulthess, TM Ingolfsson, M Nölke, M Magno, L Benini, C Leitner
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-5, 2023
12023
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
YE Wibowo, C Cioflan, TM Ingolfsson, M Hersche, L Zhao, A Rahimi, ...
arXiv preprint arXiv:2403.07851, 2024
2024
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
J Dan, U Pale, A Amirshahi, W Cappelletti, TM Ingolfsson, X Wang, ...
arXiv preprint arXiv:2402.13005, 2024
2024
A leap into the future: Towards an augmented reality learning environment in ski-jumping
L Schulthess, T Ingolfsson, S Huber, M Nölke, M Magno, L Benini, ...
Current Issues in Sport Science (CISS) 9 (2), 069-069, 2024
2024
Minimizing artifact-induced false-alarms for seizure detection in wearable EEG devices with gradient-boosted tree classifiers
TM Ingolfsson, S Benatti, X Wang, A Bernini, P Ducouret, P Ryvlin, ...
Scientific Reports 14 (1), 2980, 2024
2024
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation
S Vostrikov, TM Ingolfsson, S Hafthorsdottir, C Leitner, M Magno, L Benini, ...
IEEE Transactions on Instrumentation and Measurement, 2023
2023
EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems
TM Ingolfsson, U Chakraborty, X Wang, S Beniczky, P Ducouret, S Benatti, ...
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-5, 2023
2023
Temporal Convolutional Networks
TM Ingolfsson
https://thorirmar.com/post/temporal_convolutional_networks/, 2022
2022
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