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Cited by in CrossRef
For: Bokhari SFH, Waseem AB, Raza H, Iqbal A, Javaid S, Idrees B, Saad KAD, Bakht D, Dost W. Advancing cardiac arrhythmia management: The integration of wearable technology and remote monitoring. World J Cardiol 2025; 17(7): 106841 [PMID: 40741014 DOI: 10.4330/wjc.v17.i7.106841]
URL: https://www.wjgnet.com/1949-8462/full/v17/i7/106841.htm
Number Citing Articles
1
Suvankar Halder, Christopher M. Kim, Vipul Periwal. From chaos to care: Personalized AI for early cardiac arrhythmia warningMachine Learning with Applications 2026; 25 doi: 10.1016/j.mlwa.2026.100937
2
Sadiq Alinsaif. Neuromorphic Computing for Long-Term Cardiac Health: A Review of Spiking Neural Networks in Low-Power Wearable ElectronicsElectronics 2026; 15(6) doi: 10.3390/electronics15061179
3
Xiaoya Liu, Li Min, Yuandong Tao, Li Han, Lingfei Su, Ling Wu, Xuhong Pan, Ming Zhang, Fangming Guo, Xueqin Ding. A review of the application of nanotechnology-based, non-contact remote patient monitoring in intelligent nursing for the prevention of major adverse cardiovascular eventsNanomedicine 2026; 21(2) doi: 10.1080/17435889.2025.2592972
4
Mohammad Sadman Tahsin, Haitham Y. Adarbah, Afzel Noore. A Lightweight Channel-Attention CNN for Robust Beat-Level Arrhythmia DetectionIEEE Access 2026; 14 doi: 10.1109/ACCESS.2026.3686810
5
Amulya Yellamilli, Bhuvaneswari Kalijavedu Ravi, Deexitha Mudigonda, Nabilah Subahani, Hrithik Chandhar, Zahra .. Electric Frontiers: Innovations in Cardiac Electrophysiology and Arrhythmia ManagementInternational Journal of Innovative Science and Research Technology 2025;  doi: 10.38124/ijisrt/25jul1889