Journal of Applied Mathematics · 2014 · 26 citations · 12 references
EngineeringHealth InformaticsHealthcare Information SystemsInternet Of ThingsSensorsHealth Monitoring SystemsMobile Health ApplicationsMobile SensingMotion SensorsSmart SensorsWearable Health TechnologiesActivity MonitoringData MonitoringSensor Data AnalysisSmart WatchesUbiquitous ComputingWearable Health DevicesWearable Health MonitoringWearable Sensors
For patients who have a senile mental disorder such as dementia, the quantity of exercise and amount of sunlight are an important clue for doses and treatment. Therefore, monitoring daily health information is necessary for patients’ safety and health. A portable and wearable sensor device and server configuration for monitoring data are needed to provide these services for patients. A watch-type device (smart watch) that patients wear and a server system are developed in this paper. The smart watch developed includes a GPS, accelerometer, and illumination sensor, and can obtain real time health information by measuring the position of patients, quantity of exercise, and amount of sunlight. The server system includes the sensor data analysis algorithm and web server used by the doctor and protector to monitor the sensor data acquired from the smart watch. The proposed data analysis algorithm acquires the exercise information and detects the step count in patients’ motion acquired from the acceleration sensor and verifies the three cases of fast pace, slow pace, and walking pace, showing 96% of the experimental results. If developed and the u-Healthcare System for dementia patients is applied, higher quality medical services can be provided to patients.
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