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1.
Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial.
J Med Internet Res
; 26: e46287, 2024 Mar 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-38546724
2.
What do we mean by complex percutaneous coronary intervention? An assessment of agreement amongst interventional cardiologists for defining complexity.
Catheter Cardiovasc Interv
; 102(1): 1-10, 2023 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-37210623
3.
A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study.
J Med Internet Res
; 25: e43051, 2023 07 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37410537
4.
A two-staged classifier to reduce false positives: On device detection of atrial fibrillation using phase-based distribution of poincaré plots and deep learning.
J Electrocardiol
; 76: 17-21, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36395631
5.
Exploring decision making 'noise' when interpreting the electrocardiogram in the context of cardiac cath lab activation.
J Electrocardiol
; 73: 157-161, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35853754
6.
Device agnostic AI-based analysis of ambulatory ECG recordings.
J Electrocardiol
; 74: 154-157, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36283253
7.
Upper Limb Position Tracking with a Single Inertial Sensor Using Dead Reckoning Method with Drift Correction Techniques.
Sensors (Basel)
; 23(1)2022 Dec 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-36616958
8.
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps.
J Biomed Inform
; 122: 103905, 2021 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-34481056
9.
Digital reminiscence app co-created by people living with dementia and carers: Usability and eye gaze analysis.
Health Expect
; 24(4): 1207-1219, 2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34128574
10.
Machine learning with electrocardiograms: A call for guidelines and best practices for 'stress testing' algorithms.
J Electrocardiol
; 69S: 1-6, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34340817
11.
Overview of featurization techniques used in traditional versus emerging deep learning-based algorithms for automated interpretation of the 12-lead ECG.
J Electrocardiol
; 69S: 7-11, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34548191
12.
Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis.
J Electrocardiol
; 62: 116-123, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32866909
13.
Impact of digital technologies for communicating messages on weight loss maintenance: a systematic literature review.
Eur J Public Health
; 29(2): 320-328, 2019 04 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-30239699
14.
Novel hybrid method for interpolating missing information in body surface potential maps.
J Electrocardiol
; 57S: S51-S55, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31668699
15.
An exploratory analysis investigating blood protein biomarkers to augment ECG diagnosis of ACS.
J Electrocardiol
; 57S: S92-S97, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31519392
16.
Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12lead electrocardiogram.
J Electrocardiol
; 57: 39-43, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31476727
17.
Explainable-by-design: Challenges, pitfalls, and opportunities for the clinical adoption of AI-enabled ECG.
J Electrocardiol
; 81: 292-294, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37635030
18.
Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms.
J Electrocardiol
; 51(6S): S6-S11, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-30122457
19.
Comparing ST-segment elevation myocardial infarction care between patients residing in central and remote locations: a retrospective case series.
Rural Remote Health
; 18(4): 4618, 2018 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-30368234
20.
Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach.
J Med Internet Res
; 19(4): e125, 2017 04 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-28428170