An ageing population, coupled with increasing prevalence of chronic diseases, is placing unsustainable demands on current healthcare systems. Home-based medical monitoring, supported by wearable sensors for heart-rate, ECG, blood pressure, blood glucose, blood-oxygen saturation, etc., has the potential to alleviate the growing burden on hospitals. Timestamping data from such sensors accurately is important for correlating and reconstructing events of medical significance, and to increase trust in the context associated with the data. Unfortunately, reliable timestamping is non-trivial, and cannot be left entirely to the sensor (too resource constrained), the gateway (can be tampered by user), or the datalog server (too far from the medical device).
['Muhammad Wasif Siddiqi', 'Gerard Hager', 'Vijay Sivaraman', 'Sanjay Jha']
Securing the timestamping of sensor data from wearable healthcare devices