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Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach

PloS one, 2021-11, Vol.16 (11), p.e0259916-e0259916

2021

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Data‐driven approach for automatic detection of aortic valve opening: B point detection from impedance cardiogram

Psychophysiology, 2022-12, Vol.59 (12), p.e14128-n/a

2022

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Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions

IEEE access, 2019, Vol.7, p.115147-115159

2019

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Using HIPAA (Health Insurance Portability and Accountability Act)-Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study

JMIR mental health, 2023-10, Vol.10, p.e48517-e48517

2023

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Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

Physiological measurement, 2021-01, Vol.41 (12), p.124003

2021

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Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study

JMIR research protocols, 2022-07, Vol.11 (7), p.e36417-e36417

2022

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Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection

IEEE transactions on neural systems and rehabilitation engineering, 2016-03, Vol.24 (3), p.386-398

2016

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The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification

IEEE journal of biomedical and health informatics, 2022-06, Vol.26 (6), p.2524-2535

2022

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ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis

IEEE transactions on biomedical engineering, 2017-10, Vol.64 (10), p.2411-2418

2017

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Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

Journal of signal processing systems, 2020-07, Vol.92 (7), p.621-636

2020

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Impedance cardiogram based exploration of cardiac mechanisms in post‐traumatic stress disorder during trauma recall

Psychophysiology, 2024-04, Vol.61 (4), p.e14488-n/a

2024

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Utilizing computer vision for facial behavior analysis in schizophrenia studies: A systematic review

PloS one, 2022-04, Vol.17 (4), p.e0266828-e0266828

2022

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Issues in the automated classification of multilead ecgs using heterogeneous labels and populations

Physiological measurement, 2022-08, Vol.43 (8), p.84001

2022

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Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment

IEEE journal of selected topics in signal processing, 2022-02, Vol.16 (2), p.289-299

2022

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Association between PTSD and Impedance Cardiogram‐based contractility metrics during trauma recall: A controlled twin study

Psychophysiology, 2023-03, Vol.60 (3), p.e14197-n/a

2023

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An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysis

Physiological measurement, 2020-08, Vol.41 (7), p.75002

2020

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Machine Learning Methods for Neonatal Mortality and Morbidity Classification

IEEE access, 2020, Vol.8, p.123347-123358

2020

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Evaluating and mitigating unfairness in multimodal remote mental health assessments

PLOS digital health, 2024-07, Vol.3 (7), p.e0000413

2024

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A comparison of linguistic patterns between individuals with current major depressive disorder, past major depressive disorder, and controls in a virtual, psychiatric research interview

Journal of affective disorders reports, 2023-12, Vol.14, p.100645, Article 100645

2023

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Heart sound anomaly and quality detection using ensemble of neural networks without segmentation

2016 Computing in Cardiology Conference (CinC), 2016, p.613-616

2016

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Promising machine learning techniques for the electrocardiogram, and key barriers to progress

Journal of electrocardiology, 2023-05, Vol.78, p.16

2023

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Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks

Neurocomputing (Amsterdam), 2020-10, Vol.411, p.291-301

2020

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A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs

Sensors (Basel, Switzerland), 2024-09, Vol.24 (17), p.5708

2024

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Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.3621-3625

2014

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An algorithmic crowdsourcing approach for atrial fibrillation detection on Apple Watch ECG data

Journal of electrocardiology, 2023-05, Vol.78, p.30

2023

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Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach

Data‐driven approach for automatic detection of aortic valve opening: B point detection from impedance cardiogram

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions

Using HIPAA (Health Insurance Portability and Accountability Act)-Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study

Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

Impedance cardiogram based exploration of cardiac mechanisms in post‐traumatic stress disorder during trauma recall

Utilizing computer vision for facial behavior analysis in schizophrenia studies: A systematic review

Issues in the automated classification of multilead ecgs using heterogeneous labels and populations

Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment

Association between PTSD and Impedance Cardiogram‐based contractility metrics during trauma recall: A controlled twin study

An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysis

Machine Learning Methods for Neonatal Mortality and Morbidity Classification

Evaluating and mitigating unfairness in multimodal remote mental health assessments

A comparison of linguistic patterns between individuals with current major depressive disorder, past major depressive disorder, and controls in a virtual, psychiatric research interview

Heart sound anomaly and quality detection using ensemble of neural networks without segmentation

Promising machine learning techniques for the electrocardiogram, and key barriers to progress

Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks

A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs

Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation

An algorithmic crowdsourcing approach for atrial fibrillation detection on Apple Watch ECG data

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