Publication | Closed Access
Mercury
264
Citations
47
References
2009
Year
Unknown Venue
Sensor NetworksLongitudinal Data CollectionWireless Sensor PlatformWearable SystemKinesiologyAssistive TechnologyData ScienceEngineeringWearable TechnologyPatient MonitoringWearable SensorsHealth MonitoringRehabilitationHuman MonitoringRehabilitation EngineeringMedicineWearable SensorMotion Analysis
This paper describes Mercury, a wearable, wireless sensor platform for motion analysis of patients being treated for neuromotor disorders, such as Parkinson's Disease, epilepsy, and stroke. In contrast to previous systems intended for short-term use in a laboratory, Mercury is designed to support long-term, longitudinal data collection on patients in hospital and home settings. Patients wear up to 8 wireless nodes equipped with sensors for monitoring movement and physiological conditions. Individual nodes compute high-level features from the raw signals, and a base station performs data collection and tunes sensor node parameters based on energy availability, radio link quality, and application specific policies.
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