David D McMANUS1,2,3, Jo Woon Chong3, Apurv Soni2, Jane S Saczynski1,2, Nada Esa1, Craig Napolitano1, Chad E Darling4, Edward Boyer4, Rochelle K Rosen5, Kevin C Floyd1, Ki H Chon6. 1. Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA. 2. Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA. 3. Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts, USA. 4. Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA. 5. Centers for Behavioral and Preventive Medicine, The Miriam Hospital and Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island, USA. 6. Department of Biomedical Engineering, University of Connecticut, Stores, Connecticut, USA.
Abstract
BACKGROUND: Atrial fibrillation (AF) is a common and dangerous rhythm abnormality. Smartphones are increasingly used for mobile health applications by older patients at risk for AF and may be useful for AF screening. OBJECTIVES: To test whether an enhanced smartphone app for AF detection can discriminate between sinus rhythm (SR), AF, premature atrial contractions (PACs), and premature ventricular contractions (PVCs). METHODS: We analyzed two hundred and nineteen 2-minute pulse recordings from 121 participants with AF (n = 98), PACs (n = 15), or PVCs (n = 15) using an iPhone 4S. We obtained pulsatile time series recordings in 91 participants after successful cardioversion to sinus rhythm from preexisting AF. The PULSE-SMART app conducted pulse analysis using 3 methods (Root Mean Square of Successive RR Differences; Shannon Entropy; Poincare plot). We examined the sensitivity, specificity, and predictive accuracy of the app for AF, PAC, and PVC discrimination from sinus rhythm using the 12-lead EKG or 3-lead telemetry as the gold standard. We also administered a brief usability questionnaire to a subgroup (n = 65) of app users. RESULTS: The smartphone-based app demonstrated excellent sensitivity (0.970), specificity (0.935), and accuracy (0.951) for real-time identification of an irregular pulse during AF. The app also showed good accuracy for PAC (0.955) and PVC discrimination (0.960). The vast majority of surveyed app users (83%) reported that it was "useful" and "not complex" to use. CONCLUSION: A smartphone app can accurately discriminate pulse recordings during AF from sinus rhythm, PACs, and PVCs.
BACKGROUND:Atrial fibrillation (AF) is a common and dangerous rhythm abnormality. Smartphones are increasingly used for mobile health applications by older patients at risk for AF and may be useful for AF screening. OBJECTIVES: To test whether an enhanced smartphone app for AF detection can discriminate between sinus rhythm (SR), AF, premature atrial contractions (PACs), and premature ventricular contractions (PVCs). METHODS: We analyzed two hundred and nineteen 2-minute pulse recordings from 121 participants with AF (n = 98), PACs (n = 15), or PVCs (n = 15) using an iPhone 4S. We obtained pulsatile time series recordings in 91 participants after successful cardioversion to sinus rhythm from preexisting AF. The PULSE-SMART app conducted pulse analysis using 3 methods (Root Mean Square of Successive RR Differences; Shannon Entropy; Poincare plot). We examined the sensitivity, specificity, and predictive accuracy of the app for AF, PAC, and PVC discrimination from sinus rhythm using the 12-lead EKG or 3-lead telemetry as the gold standard. We also administered a brief usability questionnaire to a subgroup (n = 65) of app users. RESULTS: The smartphone-based app demonstrated excellent sensitivity (0.970), specificity (0.935), and accuracy (0.951) for real-time identification of an irregular pulse during AF. The app also showed good accuracy for PAC (0.955) and PVC discrimination (0.960). The vast majority of surveyed app users (83%) reported that it was "useful" and "not complex" to use. CONCLUSION: A smartphone app can accurately discriminate pulse recordings during AF from sinus rhythm, PACs, and PVCs.
Authors: Helmut Pürerfellner; Prashanthan Sanders; Evgeny Pokushalov; Marco Di Bacco; Tracy Bergemann; Lukas R C Dekker Journal: Heart Rhythm Date: 2015-02-26 Impact factor: 6.343
Authors: Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner Journal: Circulation Date: 2013-12-18 Impact factor: 29.690
Authors: Khaldoun G Tarakji; Oussama M Wazni; Thomas Callahan; Mohamed Kanj; Ali H Hakim; Kathy Wolski; Bruce L Wilkoff; Walid Saliba; Bruce D Lindsay Journal: Heart Rhythm Date: 2014-11-18 Impact factor: 6.343
Authors: Zachary C Haberman; Ryan T Jahn; Rupan Bose; Han Tun; Jerold S Shinbane; Rahul N Doshi; Philip M Chang; Leslie A Saxon Journal: J Cardiovasc Electrophysiol Date: 2015-03-19
Authors: Niraj Varma; Iwona Cygankiewicz; Mintu P Turakhia; Hein Heidbuchel; Yu-Feng Hu; Lin Yee Chen; Jean-Philippe Couderc; Edmond M Cronin; Jerry D Estep; Lars Grieten; Deirdre A Lane; Reena Mehra; Alex Page; Rod Passman; Jonathan P Piccini; Ewa Piotrowicz; Ryszard Piotrowicz; Pyotr G Platonov; Antonio Luiz Ribeiro; Robert E Rich; Andrea M Russo; David Slotwiner; Jonathan S Steinberg; Emma Svennberg Journal: Circ Arrhythm Electrophysiol Date: 2021-02-12
Authors: Niraj Varma; Iwona Cygankiewicz; Mintu P Turakhia; Hein Heidbuchel; Yufeng Hu; Lin Yee Chen; Jean-Philippe Couderc; Edmond M Cronin; Jerry D Estep; Lars Grieten; Deirdre A Lane; Reena Mehra; Alex Page; Rod Passman; Jonathan P Piccini; Ewa Piotrowicz; Ryszard Piotrowicz; Pyotr G Platonov; Antonio Luiz Ribeiro; Robert E Rich; Andrea M Russo; David Slotwiner; Jonathan S Steinberg; Emma Svennberg Journal: Cardiovasc Digit Health J Date: 2021-01-29
Authors: Furrukh Sana; Eric M Isselbacher; Jagmeet P Singh; E Kevin Heist; Bhupesh Pathik; Antonis A Armoundas Journal: J Am Coll Cardiol Date: 2020-04-07 Impact factor: 24.094
Authors: Christian Müller; Ulf Hengstmann; Michael Fuchs; Martin Kirchner; Frank Kleinjung; Harald Mathis; Stephan Martin; Ingo Bläse; Stefan Perings Journal: Digit Health Date: 2021-05-22