Published on 27.03.19 in Vol 7, No 3 (2019): March
Works citing "Mobile Phone–Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App"
According to Crossref, the following articles are citing this article (DOI 10.2196/12284):
(note that this is only a small subset of citations)
- Pluymaekers NA, Hermans AN, van der Velden RM, den Uijl DW, Vorstermans B, Buskes S, Hendriks JM, Vernooy K, Crijns HJ, Linz D. On-demand app-based rate and rhythm monitoring to manage atrial fibrillation through teleconsultations during COVID-19. IJC Heart & Vasculature 2020;28:100533CrossRef
- Arumugam S, Colburn DAM, Sia SK. Biosensors for Personal Mobile Health: A System Architecture Perspective. Advanced Materials Technologies 2020;5(3):1900720CrossRef
- Kooman JP, Wieringa FP, Han M, Chaudhuri S, van der Sande FM, Usvyat LA, Kotanko P. Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?. Nephrology Dialysis Transplantation 2020;35(Supplement_2):ii43CrossRef
- Vuorinen T, Noponen K, Jeyhani V, Aslam MA, Junttila MJ, Tulppo MP, Kaikkonen KS, Huikuri HV, Seppänen T, Mäntysalo M, Vehkaoja A. Unobtrusive, Low‐Cost Out‐of‐Hospital, and In‐Hospital Measurement and Monitoring System. Advanced Intelligent Systems 2020;:2000030CrossRef
- Harrison SL, Lane DA, Guo Y, Lip GYH. The potential for photoplethysmographic (PPG)-based smart devices in atrial fibrillation detection. Expert Review of Medical Devices 2020;17(4):253CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/12284)
:- Tao J, Xie S, Jiang J, Wei W. Artificial Intelligence Algorithms and Applications. 2020. Chapter 57:709CrossRef