Wireless sensor networks have become increasingly common in everyday applications due to decreasing technology costs and improved product reliability. An ideal application for wireless sensor networks is a biomedical patient telemetrymonitoring tool. Wireless patient monitoring systems improve quality of life for the subject by granting them more freedom to continue their daily routine, which would not be feasible if wired monitoring equipment were used. This paper explores an application of biomedical wireless sensor networks, which attempts to monitor patients for specific conditions in a completely non-invasive, non-intrusive manner. This noninvasive technique uses an accelerometer to determine if a person's arm movement is similar to that of a person suffering from a seizure or acute brain injury causing loss of consciousness or coma. The results of the presented algorithms have been verified on test subjects and showed few occurrences of false positives. In future tests, auto...
T. Ryan Burchfield, S. Venkatesan