Key result
Smartphone-based cardiac anomaly detection and IoT healthcare analytics offer potential for proactive cardiac disease prevention by accurately detecting anomalous events under high noise conditions.
Design
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May support smartphone IoT anomaly detection in noisy settings; hypothesis-generating and requires prospective validation before clinical adoption.
This presentation discusses the role of IoT and anomaly detection in proactive healthcare analytics, specifically highlighting smartphone-based cardiac disease prevention.
Ukil et al. (2016) studied Cardiac disease. Smartphone-based cardiac anomaly detection was evaluated. Smartphone-based cardiac anomaly detection and IoT healthcare analytics offer potential for proactive cardiac disease prevention by accurately detecting anomalous events under high noise conditions.
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