Literature DB >> 33374985

Digital Health in Cardiac Rehabilitation and Secondary Prevention: A Search for the Ideal Tool.

Maarten Falter1,2,3, Martijn Scherrenberg1,2, Paul Dendale1,2.   

Abstract

Digital health is becoming more integrated in daily medical practice. In cardiology, patient care is already moving from the hospital to the patients' homes, with large trials showing positive results in the field of telemonitoring via cardiac implantable electronic devices (CIEDs), monitoring of pulmonary artery pressure via implantable devices, telemonitoring via home-based non-invasive sensors, and screening for atrial fibrillation via smartphone and smartwatch technology. Cardiac rehabilitation and secondary prevention are modalities that could greatly benefit from digital health integration, as current compliance and cardiac rehabilitation participation rates are low and optimisation is urgently required. This viewpoint offers a perspective on current use of digital health technologies in cardiac rehabilitation, heart failure and secondary prevention. Important barriers which need to be addressed for implementation in medical practice are discussed. To conclude, a future ideal digital tool and integrated healthcare system are envisioned. To overcome personal, technological, and legal barriers, technological development should happen in dialog with patients and caregivers. Aided by digital technology, a future could be realised in which we are able to offer high-quality, affordable, personalised healthcare in a patient-centred way.

Entities:  

Keywords:  artificial intelligence; cardiovascular rehabilitation; digital health; heart failure; mobile health; secondary prevention; sensors; telerehabilitation

Mesh:

Year:  2020        PMID: 33374985      PMCID: PMC7792579          DOI: 10.3390/s21010012

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.847


  70 in total

1.  Voice Signal Characteristics Are Independently Associated With Coronary Artery Disease.

Authors:  Elad Maor; Jaskanwal D Sara; Diana M Orbelo; Lilach O Lerman; Yoram Levanon; Amir Lerman
Journal:  Mayo Clin Proc       Date:  2018-04-12       Impact factor: 7.616

2.  A Machine-Learning Approach to Predicting Smoking Cessation Treatment Outcomes.

Authors:  Lara N Coughlin; Allison N Tegge; Christine E Sheffer; Warren K Bickel
Journal:  Nicotine Tob Res       Date:  2020-03-16       Impact factor: 4.244

3.  Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial.

Authors:  Friedrich Koehler; Kerstin Koehler; Oliver Deckwart; Sandra Prescher; Karl Wegscheider; Bridget-Anne Kirwan; Sebastian Winkler; Eik Vettorazzi; Leonhard Bruch; Michael Oeff; Christian Zugck; Gesine Doerr; Herbert Naegele; Stefan Störk; Christian Butter; Udo Sechtem; Christiane Angermann; Guntram Gola; Roland Prondzinsky; Frank Edelmann; Sebastian Spethmann; Sebastian M Schellong; P Christian Schulze; Johann Bauersachs; Brunhilde Wellge; Christoph Schoebel; Milos Tajsic; Henryk Dreger; Stefan D Anker; Karl Stangl
Journal:  Lancet       Date:  2018-08-25       Impact factor: 79.321

4.  Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study.

Authors:  Josef Stehlik; Carsten Schmalfuss; Biykem Bozkurt; Jose Nativi-Nicolau; Peter Wohlfahrt; Stephan Wegerich; Kevin Rose; Ranjan Ray; Richard Schofield; Anita Deswal; Jadranka Sekaric; Sebastian Anand; Dylan Richards; Heather Hanson; Matthew Pipke; Michael Pham
Journal:  Circ Heart Fail       Date:  2020-02-25       Impact factor: 8.790

5.  Self-reported medication adherence and cardiovascular events in patients with stable coronary heart disease: the heart and soul study.

Authors:  Anil K Gehi; Sadia Ali; Beeya Na; Mary A Whooley
Journal:  Arch Intern Med       Date:  2007-09-10

6.  Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial.

Authors:  Richard J McManus; Jonathan Mant; Marloes Franssen; Alecia Nickless; Claire Schwartz; James Hodgkinson; Peter Bradburn; Andrew Farmer; Sabrina Grant; Sheila M Greenfield; Carl Heneghan; Susan Jowett; Una Martin; Siobhan Milner; Mark Monahan; Sam Mort; Emma Ogburn; Rafael Perera-Salazar; Syed Ahmar Shah; Ly-Mee Yu; Lionel Tarassenko; F D Richard Hobbs
Journal:  Lancet       Date:  2018-02-27       Impact factor: 79.321

Review 7.  Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.

Authors:  Martina Vettoretti; Giacomo Cappon; Andrea Facchinetti; Giovanni Sparacino
Journal:  Sensors (Basel)       Date:  2020-07-10       Impact factor: 3.576

Review 8.  A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates.

Authors:  Giannina Ferrara; Jenna Kim; Shuhao Lin; Jenna Hua; Edmund Seto
Journal:  JMIR Mhealth Uhealth       Date:  2019-05-17       Impact factor: 4.773

9.  Smoking cessation with smartphone applications (SWAPP): study protocol for a randomized controlled trial.

Authors:  Janina Lüscher; Corina Berli; Philipp Schwaninger; Urte Scholz
Journal:  BMC Public Health       Date:  2019-10-29       Impact factor: 3.295

10.  The 'Digital Twin' to enable the vision of precision cardiology.

Authors:  Jorge Corral-Acero; Francesca Margara; Maciej Marciniak; Cristobal Rodero; Filip Loncaric; Yingjing Feng; Andrew Gilbert; Joao F Fernandes; Hassaan A Bukhari; Ali Wajdan; Manuel Villegas Martinez; Mariana Sousa Santos; Mehrdad Shamohammdi; Hongxing Luo; Philip Westphal; Paul Leeson; Paolo DiAchille; Viatcheslav Gurev; Manuel Mayr; Liesbet Geris; Pras Pathmanathan; Tina Morrison; Richard Cornelussen; Frits Prinzen; Tammo Delhaas; Ada Doltra; Marta Sitges; Edward J Vigmond; Ernesto Zacur; Vicente Grau; Blanca Rodriguez; Espen W Remme; Steven Niederer; Peter Mortier; Kristin McLeod; Mark Potse; Esther Pueyo; Alfonso Bueno-Orovio; Pablo Lamata
Journal:  Eur Heart J       Date:  2020-12-21       Impact factor: 29.983

View more
  8 in total

1.  Efficacy, efficiency and safety of a cardiac telerehabilitation programme using wearable sensors in patients with coronary heart disease: the TELEWEAR-CR study protocol.

Authors:  Varsamo Antoniou; Andrew Xanthopoulos; Gregory Giamouzis; Constantinos Davos; Ladislav Batalik; Vasileios Stavrou; Konstantinos I Gourgoulianis; Eleni Kapreli; John Skoularigis; Garyfallia Pepera
Journal:  BMJ Open       Date:  2022-06-23       Impact factor: 3.006

Review 2.  Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools.

Authors:  Demilade A Adedinsewo; Amy W Pollak; Sabrina D Phillips; Taryn L Smith; Anna Svatikova; Sharonne N Hayes; Sharon L Mulvagh; Colleen Norris; Veronique L Roger; Peter A Noseworthy; Xiaoxi Yao; Rickey E Carter
Journal:  Circ Res       Date:  2022-02-17       Impact factor: 23.213

Review 3.  Asynchronous and Synchronous Delivery Models for Home-Based Cardiac Rehabilitation: A SCIENTIFIC REVIEW.

Authors:  Randal J Thomas; Cara E Petersen; Thomas P Olson; Alexis L Beatty; Rongjing Ding; Marta Supervia
Journal:  J Cardiopulm Rehabil Prev       Date:  2021-11-01       Impact factor: 3.646

Review 4.  Current role and future perspectives of cardiac rehabilitation in coronary heart disease.

Authors:  Eduardo M Vilela; Ricardo Ladeiras-Lopes; Ana Joao; Joana Braga; Susana Torres; Sofia Viamonte; José Ribeiro; Madalena Teixeira; José P Nunes; Ricardo Fontes-Carvalho
Journal:  World J Cardiol       Date:  2021-12-26

5.  Research on Digital Technology Use in Cardiology: Bibliometric Analysis.

Authors:  Andy Wai Kan Yeung; Stefan Tino Kulnik; Emil D Parvanov; Anna Fassl; Fabian Eibensteiner; Sabine Völkl-Kernstock; Maria Kletecka-Pulker; Rik Crutzen; Johanna Gutenberg; Isabel Höppchen; Josef Niebauer; Jan David Smeddinck; Harald Willschke; Atanas G Atanasov
Journal:  J Med Internet Res       Date:  2022-05-11       Impact factor: 7.076

6.  Smartwatch-Based Blood Pressure Measurement Demonstrates Insufficient Accuracy.

Authors:  Maarten Falter; Martijn Scherrenberg; Karen Driesen; Zoë Pieters; Toshiki Kaihara; Linqi Xu; Enrico Gianluca Caiani; Paolo Castiglioni; Andrea Faini; Gianfranco Parati; Paul Dendale
Journal:  Front Cardiovasc Med       Date:  2022-07-11

7.  Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool.

Authors:  Dewen Liu; Qi Li; Shenghao Han
Journal:  Sensors (Basel)       Date:  2022-08-15       Impact factor: 3.847

8.  Effectiveness of home-based upper limb rehabilitation in stroke survivors: A systematic review and meta-analysis.

Authors:  Sharon Fong Mei Toh; Pei Fen Chia; Kenneth N K Fong
Journal:  Front Neurol       Date:  2022-09-09       Impact factor: 4.086

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.