Development of Parkinson Patient Generated Data Collection Platform Using FHIR and IoT Devices
Internet of Things (IoT) devices can be effectively used in cases where continuous observation of patients is required, such as Parkinsons disease. This is due to the characteristics of the IoT (Internet of Things), which allows data to be measured and transmitted at any time, anywhere. In this study, we developed a health data collection platform that stores and transmits the foot pressure data of Parkinson patients using FHIR (Fast Healthcare Interoperability Resources). The platform can be used to collect the foot pressure of a large number of Parkinsons patients. Based on the accumulated data, it is possible to identify abnormal behaviors such as walking pattern, tilt and instability of stride length in patients with Parkinsons disease. Based on the results of this study, accurate diagnosis and treatment of Parkinson s disease can be made.
Electronic Health Records Parkinson Disease
Dae-Young Kim Sun-ho Hwang Min-Gyu Kim Joon-Hyun Song Sin-Woong Lee Il Kon Kim
School of Computer Science & Engineering,Kyungpook National University,Daegu,Korea
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
141-145
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）