Key result
A low-cost prototype using a Bitalino ECG sensor and Arduino yielded a reasonable success rate for detecting atrial fibrillation by analyzing heartbeat variations and RR intervals.
Why the study?
Early detection of AF is crucial, but a low-cost, at-home, noninvasive heart monitoring system designed for periodic monitoring was lacking.
Does a low-cost Arduino-based ECG monitoring system accurately detect atrial fibrillation based on RR interval variations?
Does a low-cost Arduino-based ECG monitoring system accurately detect atrial fibrillation based on RR interval variations?
A low-cost, Arduino-based ECG monitoring prototype was developed and demonstrated a reasonable success rate in detecting atrial fibrillation using RR interval analysis.
Authors
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May enable low-cost AF screening in underserved settings; hypothesis-generating and requires rigorous validation before clinical use.
Ahmed et al. (2020) studied Atrial fibrillation. Low-cost heart monitoring system (Bitalino ECG sensor and Arduino) vs. Healthy ECG data was evaluated on AF detection based on threshold values of heartbeat variations and RR intervals. A low-cost prototype using a Bitalino ECG sensor and Arduino yielded a reasonable success rate for detecting atrial fibrillation by analyzing heartbeat variations and RR intervals.
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