Automatic detection of anomalies in blood glucose using a machine learning approach
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[1] M. Walker,et al. Acute effects on insulin sensitivity and diurnal metabolic profiles of a high-sucrose compared with a high-starch diet. , 1998, The American journal of clinical nutrition.
[2] Paul Cuddihy,et al. Algorithm to automatically detect abnormally long periods of inactivity in a home , 2007, HealthNet '07.
[3] Jong Hyun Lim,et al. Wireless Medical Sensor Networks in Emergency Response: Implementation and Pilot Results , 2008, 2008 IEEE Conference on Technologies for Homeland Security.
[4] John A. Stankovic,et al. Context-aware wireless sensor networks for assisted living and residential monitoring , 2008, IEEE Network.
[5] M. Mathie,et al. of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey A SYSTEM FOR MONITORING POSTURE AND PHYSICAL ACTIVITY USING ACCELEROMETERS , 2004 .
[6] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[7] Ian F. Akyildiz,et al. Wireless sensor networks: a survey , 2002, Comput. Networks.
[8] S. Venkatesan,et al. Accelerometer-based human abnormal movement detection in wireless sensor networks , 2007, HealthNet '07.
[9] R. Bajcsy,et al. Wearable Sensors for Reliable Fall Detection , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.