Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tariq O. Andersen"'
Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias
Autor:
Maarten Z. H. Kolk, Diana My Frodi, Joss Langford, Tariq O. Andersen, Peter Karl Jacobsen, Niels Risum, Hanno L. Tan, Jesper Hastrup Svendsen, Reinoud E. Knops, Søren Zöga Diederichsen, Fleur V. Y. Tjong
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract We aimed to identify and characterise behavioural profiles in patients at high risk of SCD, by using deep representation learning of day-to-day behavioural recordings. We present a pipeline that employed unsupervised clustering on low-dimens
Externí odkaz:
https://doaj.org/article/b110fe047e644b36b7a7c078126abc52
Autor:
Maarten Z.H. Kolk, MD, MSc, Diana M. Frodi, MD, Tariq O. Andersen, PhD, Joss Langford, BSc, Soeren Z. Diederichsen, MD, PhD, Jesper H. Svendsen, MD, PhD, Hanno L. Tan, MD, PhD, Reinoud E. Knops, MD, PhD, Fleur V.Y. Tjong, MD, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 3, Iss 1, Pp 46-55 (2022)
Background: Current implantable cardioverter-defibrillator (ICD) devices are equipped with a device-embedded accelerometer capable of capturing physical activity (PA). In contrast, wearable accelerometer-based methods enable the measurement of physic
Externí odkaz:
https://doaj.org/article/0275213efc3c4397ab6707fc99b29cbf
Autor:
Diana M. Frodi, MD, Maarten Z.H. Kolk, MD, MSc, Joss Langford, BSc, Tariq O. Andersen, PhD, Reinoud E. Knops, MD, PhD, Hanno L. Tan, MD, PhD, Jesper H. Svendsen, MD, DMSc, FESC, FEHRA, Fleur V.Y. Tjong, MD, PhD, Soeren Z. Diederichsen, MD, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 2, Iss 6, Pp S11-S20 (2021)
Background: Patients with an implantable cardioverter-defibrillator (ICD) are at a high risk of malignant ventricular arrhythmias. The use of remote ICD monitoring, wearable devices, and patient-reported outcomes generate large volumes of potential v
Externí odkaz:
https://doaj.org/article/07281770475849e68cfd2f7115386c65