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IEEE Transactions on Bio-Medical Engineering
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October 9, 2023
A Review on Atrial Fibrillation Detection From Ambulatory ECG
Caiyun Ma, Zhijun Xiao, Lina Zhao, et al.
Physiological Measurement
|
August 25, 2022
Machine learning to support triage of children at risk for epileptic seizures in the pediatric intensive care unit
Raphael Azriel, Cecil D Hahn, Thomas De Cooman, et al.
Physiological Measurement
|
July 19, 2022
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
Peter H Charlton, Kevin Kotzen, Elisa Mejía-Mejía, et al.
ACS Sensors
|
March 17, 2023
Liquid Biopsy-Based Volatile Organic Compounds from Blood and Urine and Their Combined Data Sets for Highly Accurate Detection of Cancer
Reef Einoch Amor, Jeremy Levy, Yoav Y Broza, et al.
Journal of Sleep Research
|
May 10, 2025
Clinical Validation of Artificial Intelligence Algorithms for the Diagnosis of Adult Obstructive Sleep Apnea and Sleep Staging From Oximetry and Photoplethysmography-SleepAI
Shirel Attia, Arie Oksenberg, Jeremy Levy, et al.
IEEE Transactions on Bio-Medical Engineering
|
June 4, 2025
GONet: A Generalizable Deep Learning Model for Glaucoma Detection
Or Abramovich, Hadas Pizem, Jonathan Fhima, et al.
Physiological Measurement
|
April 10, 2024
LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images
Jonathan Fhima, Jan Van Eijgen, Marie-Isaline Billen Moulin-Romsée, et al.
Scientific Data
|
March 20, 2025
SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
Kenta Tsutsui, Shany Biton Brimer, Noam Ben-Moshe, et al.
Physiological Measurement
|
November 27, 2025
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
Márton Áron Goda, Helen Badge, Jasmeen Khan, et al.
The Journal of the Acoustical Society of America
|
February 28, 1998
Development of a new standard laboratory protocol for estimating the field attenuation of hearing protection devices. Part III. The validity of using subject-fit data
E H Berger, J R Franks, A Behar, et al.
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of 14
Search research articles
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Showing results (121-130 of 133) with videos related to
Sort By:
Page
of 14
IEEE Transactions on Bio-Medical Engineering
|
October 9, 2023
A Review on Atrial Fibrillation Detection From Ambulatory ECG
Caiyun Ma, Zhijun Xiao, Lina Zhao, et al.
Physiological Measurement
|
August 25, 2022
Machine learning to support triage of children at risk for epileptic seizures in the pediatric intensive care unit
Raphael Azriel, Cecil D Hahn, Thomas De Cooman, et al.
Physiological Measurement
|
July 19, 2022
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
Peter H Charlton, Kevin Kotzen, Elisa Mejía-Mejía, et al.
ACS Sensors
|
March 17, 2023
Liquid Biopsy-Based Volatile Organic Compounds from Blood and Urine and Their Combined Data Sets for Highly Accurate Detection of Cancer
Reef Einoch Amor, Jeremy Levy, Yoav Y Broza, et al.
Journal of Sleep Research
|
May 10, 2025
Clinical Validation of Artificial Intelligence Algorithms for the Diagnosis of Adult Obstructive Sleep Apnea and Sleep Staging From Oximetry and Photoplethysmography-SleepAI
Shirel Attia, Arie Oksenberg, Jeremy Levy, et al.
IEEE Transactions on Bio-Medical Engineering
|
June 4, 2025
GONet: A Generalizable Deep Learning Model for Glaucoma Detection
Or Abramovich, Hadas Pizem, Jonathan Fhima, et al.
Physiological Measurement
|
April 10, 2024
LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images
Jonathan Fhima, Jan Van Eijgen, Marie-Isaline Billen Moulin-Romsée, et al.
Scientific Data
|
March 20, 2025
SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
Kenta Tsutsui, Shany Biton Brimer, Noam Ben-Moshe, et al.
Physiological Measurement
|
November 27, 2025
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
Márton Áron Goda, Helen Badge, Jasmeen Khan, et al.
The Journal of the Acoustical Society of America
|
February 28, 1998
Development of a new standard laboratory protocol for estimating the field attenuation of hearing protection devices. Part III. The validity of using subject-fit data
E H Berger, J R Franks, A Behar, et al.
Page
of 14