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.
Healthcare data is quite rich and often contains human survival related information. Analyzing healthcare data is of prime importance particularly considering the immense potential of saving human life and improving quality of life. Furthermore, IoT revolution has redefined modern health care systems and management. IoT offers its greatest promise to deliver excellent progress in healthcare domain. In this talk, proactive healthcare analytics specifically for cardiac disease prevention will be discussed. Anomaly detection plays a prominent role in healthcare analytics. In fact, the anomalous events are to be accurately detected with low false negative alarms often under high noise (low SNR) condition. An exemplary case of smartphone based cardiac anomaly detection will be presented.
Ukil et al. (Tue,) conducted a other in 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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