nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
ACCURACY OF A NEW WIRELESS HEART RATE MONITORING SYSTEM IN THE NEONATAL INTENSIVE CARE UNIT
|
Senechal, Eva |
|
|
|
6 |
p. 202-203 |
artikel |
2 |
A generalizable electrocardiogram-based artificial intelligence model for 10-year heart failure risk prediction
|
Butler, Liam |
|
|
|
6 |
p. 183-190 |
artikel |
3 |
Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors
|
Hilbel, Thomas |
|
|
|
6 |
p. 323-330 |
artikel |
4 |
ANALYTICAL VALIDATION AND FEASIBILITY ASSESSMENT OF A SMART BLOOD PRESSURE MONITOR FOR USE IN DECENTRALIZED CLINICAL TRIALS
|
Imsirovic, Jasmin |
|
|
|
6 |
p. 200 |
artikel |
5 |
ANALYTICAL VALIDATION OF PEDIATRIC DIGITAL HEALTH TECHNOLOGIES FOR USE IN DECENTRALIZED CLINICAL TRIALS
|
PlacekD, Katerina |
|
|
|
6 |
p. 205 |
artikel |
6 |
ANALYTICAL VALIDATION OF WITHINGS DIGITAL HEALTH TECHNOLOGIES FOR USE IN DECENTRALIZED CLINICAL TRIALS
|
Kaseman, Andrew |
|
|
|
6 |
p. 198 |
artikel |
7 |
Assessment of facial video-based detection of atrial fibrillation across human complexion
|
Couderc, Jean-Philippe |
|
|
|
6 |
p. 305-312 |
artikel |
8 |
BYNDR™ COMMUNICATION PROTOCOL PROVIDES RELIABLE WIRELESS PHYSIOLOGIC DATA FLOW
|
Giuliano, Karen K. |
|
|
|
6 |
p. 198-199 |
artikel |
9 |
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables
|
Naseri, Arman |
|
|
|
6 |
p. 165-172 |
artikel |
10 |
Development of text messages for primary prevention of cardiovascular disease in persons with HIV
|
McLaughlin, Megan M. |
|
|
|
6 |
p. 191-197 |
artikel |
11 |
Digital health tools to promote diabetes education and management of cardiovascular risk factors among under-resourced populations
|
Paul, Tenes |
|
|
|
6 |
p. 298-300 |
artikel |
12 |
EFFICIENT RF ENERGY HARVESTING FOR IOT CARDIO STIMULATOR DEVICES IN THE ISM BAND THROUGH ENHANCING RECTENNA PERFORMANCE AND POWER MANAGEMENT
|
Bouchoucha, Yosra |
|
|
|
6 |
p. 204 |
artikel |
13 |
Emerging role of artificial intelligence in cardiac electrophysiology
|
Kabra, Rajesh |
|
|
|
6 |
p. 263-275 |
artikel |
14 |
ENHANCING CHEMOTHERAPY RESILIENCE IN VETERANS: MONITORING DIGITAL BIOMARKERS OF FRAILTY WITH WEARABLE SENSORS TO ASSESS CHEMOTHERAPY TOXICITY
|
Cay, Gozde |
|
|
|
6 |
p. 201 |
artikel |
15 |
ENHANCING HEALING OUTCOMES: A HOLISTIC VISUALIZATION APPROACH AND REMOTE PATIENT MONITORING FOR IDENTIFYING KEY FACTORS ASSOCIATED WITH POOR HEALING
|
Cay, Gozde |
|
|
|
6 |
p. 202 |
artikel |
16 |
Erratum
|
|
|
|
|
6 |
p. 336 |
artikel |
17 |
Evaluating factors of greater patient satisfaction with outpatient cardiology telehealth visits during the COVID-19 pandemic
|
Cho, David |
|
|
|
6 |
p. 312-322 |
artikel |
18 |
Evaluation of an adaptive, rule-based dosing algorithm to maintain therapeutic anticoagulation during atrial fibrillation ablation
|
Kalscheur, Matthew M. |
|
|
|
6 |
p. 173-182 |
artikel |
19 |
EXPLORING REMOTE FRAILTY MONITORING TO INVESTIGATE FRAILTY PHENOTYPES LINKED TO POOR DIABETIC WOUND HEALING
|
Cay, Gozde |
|
|
|
6 |
p. 203-204 |
artikel |
20 |
Exploring telerobotic cardiac catheter ablation in a rural community hospital: A pilot study
|
Serafini, Brian |
|
|
|
6 |
p. 313-319 |
artikel |
21 |
IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health
|
|
|
|
|
6 |
p. 198-205 |
artikel |
22 |
IMPLEMENTATION OF CONTINUOUS RESPIRATORY MONITORING DURING POST-ANESTHESIA RECOVERY IN A CLINICAL TRIAL
|
Imsirovic, Jasmin |
|
|
|
6 |
p. 199-200 |
artikel |
23 |
Inside the “black box”: Embedding clinical knowledge in data-driven machine learning for heart disease diagnosis
|
Meng, James |
|
|
|
6 |
p. 276-288 |
artikel |
24 |
Letter from the Deputy Editor
|
Ghanbari, Hamid |
|
|
|
6 |
p. 293 |
artikel |
25 |
Machine learning predicting mortality in sarcoidosis patients admitted for acute heart failure
|
Dai, Qiying |
|
|
|
6 |
p. 297-304 |
artikel |
26 |
ORCAV: MEDICAL IMAGING SERVICE FOR RURAL AREAS IN INDONESIA
|
Pangestu, Elbo |
|
|
|
6 |
p. 201-202 |
artikel |
27 |
POINT OF CARE AI DRIVEN ER2EP REFERRALS FOR NON-VALVULAR ATRIAL FIBRILLATION
|
Roghanizad, Ali R. |
|
|
|
6 |
p. 200-201 |
artikel |
28 |
Point-of-care screening for atrial fibrillation: Where are we, and where do we go next?
|
Ashburner, Jeffrey M. |
|
|
|
6 |
p. 294-297 |
artikel |
29 |
Point-of-care testing, your cardiologist, and affairs of the heart
|
Dunlap, Denise |
|
|
|
6 |
p. 331-335 |
artikel |
30 |
Roadmap to a more useful and usable electronic health record
|
Windle, John R. |
|
|
|
6 |
p. 301-311 |
artikel |
31 |
Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice
|
Maanja, Maren |
|
|
|
6 |
p. 289-296 |
artikel |
32 |
Withdrawn
|
|
|
|
|
6 |
p. 205 |
artikel |
33 |
Withdrawn
|
|
|
|
|
6 |
p. 200 |
artikel |