T
Torfinn Berset
Researcher at IMEC
Publications - 13
Citations - 255
Torfinn Berset is an academic researcher from IMEC. The author has contributed to research in topics: Adaptive filter & Digital signal processing. The author has an hindex of 9, co-authored 13 publications receiving 230 citations.
Papers
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Proceedings ArticleDOI
Motion artifact removal using cascade adaptive filtering for ambulatory ECG monitoring system
Hyejung Kim,Sunyoung Kim,N. Van Helleputte,Torfinn Berset,Di Geng,Inaki Romero,Julien Penders,C. Van Hoof,Refet Firat Yazicioglu +8 more
TL;DR: A motion artifact removal method with a two-stage cascade LMS adaptive filter and an adaptive step-size LMS algorithm can achieve fast convergence to track large sudden motion artifact quickly, while preventing the distortion of the ECG component.
Journal ArticleDOI
An Ultra Low Energy Biomedical Signal Processing System Operating at Near-Threshold
Jos Hulzink,Mario Konijnenburg,Maryam Ashouei,Arjan Breeschoten,Torfinn Berset,Jos Huisken,Jan Stuyt,H. de Groot,F. Barat,J. David,J. Van Ginderdeuren +10 more
TL;DR: This paper presents a voltage-scalable digital signal processing system designed for the use in a wireless sensor node (WSN) for ambulatory monitoring of biomedical signals and shows that the platform not only preserves the sensitivity and positive predictivity of the algorithm but also achieves the lowest energy/sample for ElectroCardioGram (ECG) heart-beat detection.
Proceedings ArticleDOI
Motion artifact reduction in ambulatory ECG monitoring: an integrated system approach
Inaki Romero,Torfinn Berset,Dilpreet Buxi,Lindsay Brown,Julien Penders,Sunyoung Kim,Nick Van Helleputte,Hyejung Kim,Chris Van Hoof,Firat Yazicioglu +9 more
TL;DR: A system approach to motion artifact reduction in ambulatory recordings and a wireless patch for the monitoring of 3-lead ECG, electrode electrical artifact and 3D-acceleration is presented.
Journal Article
Adaptive filtering in ECG denoising: A comparative study
TL;DR: The performance of several adaptive filter (AdF) algorithm implementations was investigated in the context of cleaning noisy ambulatory ECGs and using AdF algorithm improved the performance of a beat detection (BD) algorithm as compared to non-filtering.
Journal ArticleDOI
Clinical validation of a low-power and wearable ECG patch for long term full-disclosure monitoring.
Tom Torfs,Christophe J.P. Smeets,Di Geng,Torfinn Berset,Jo Van der Auwera,Pieter M. Vandervoort,Lars Grieten,Lars Grieten +7 more
TL;DR: The performance of the novel miniaturized three-channel ECG monitoring patch matches that of the 24-h Holter and could provide a suitable tool for long-term monitoring applications.