Search Results for author: Kevin Kotzen

Found 2 papers, 1 papers with code

Detecting beats in the photoplethysmogram: benchmarking open-source algorithms

1 code implementation • Physiological Measurement 2022 • Peter H Charlton, Kevin Kotzen, Elisa Mejía-Mejía, Philip J Aston, Karthik Budidha, Jonathan Mant, Callum Pettit, Joachim A Behar and Panayiotis A Kyriacou

Objective: This study aimed to: (i) develop a framework with which to design and test PPG beat detectors; (ii) assess the performance of PPG beat detectors in different use cases; and (iii) investigate how their performance is affected by patient demographics and physiology.

Ranked #1 on Photoplethysmography (PPG) heart rate estimation on MIMIC PERform Testing Dataset

Benchmarking Photoplethysmography (PPG) beat detection +1

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SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography

no code implementations • 11 Feb 2022 • Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim A. Behar

We hypothesize that it is possible to perform robust 4-class sleep staging using the raw photoplethysmography (PPG) time series and modern advances in deep learning (DL).

Management Photoplethysmography (PPG) +4

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