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1.
Premature Atrial and Ventricular Contraction Detection using Photoplethysmographic Data from a Smartwatch.
Sensors (Basel)
; 20(19)2020 Oct 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-33028000
2.
Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme.
IEEE Trans Biomed Eng
; 71(2): 456-466, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-37682653
3.
A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study.
JMIR Cardio
; 7: e41691, 2023 Feb 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-36780211
4.
False Atrial Fibrillation Alerts from Smartwatches are Associated with Decreased Perceived Physical Well-being and Confidence in Chronic Symptoms Management.
Cardiol Cardiovasc Med
; 7(2): 97-107, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37476150
5.
Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial.
JMIR Cardio
; 7: e45137, 2023 Nov 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-38015598
6.
Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection.
Front Digit Health
; 5: 1243959, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-38125757
7.
A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia.
Biosensors (Basel)
; 12(2)2022 Jan 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-35200342
8.
Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection.
IEEE Trans Biomed Eng
; 69(9): 2982-2993, 2022 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35275809
9.
Developing a Multi-channel Beamformer by Enhancing Spatially Constrained ICA for Recovery of Correlated EEG Sources.
J Biomed Phys Eng
; 11(2): 205-214, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-33937127
10.
Disrupted resting-state brain functional network in methamphetamine abusers: A brain source space study by EEG.
PLoS One
; 14(12): e0226249, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31825996
11.
Computer-aided classifying and characterizing of methamphetamine use disorder using resting-state EEG.
Cogn Neurodyn
; 13(6): 519-530, 2019 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-31741689
12.
Symmetric multi-scale image registration.
Annu Int Conf IEEE Eng Med Biol Soc
; 2010: 5931-4, 2010.
Artículo
en Inglés
| MEDLINE | ID: mdl-21096942
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