title: IT-based diagnostic instrumentation systems for personalized healthcare services.
abstract: This paper describes recent research and development activities on the diagnostic instruments for personalized healthcare services in Seoul National University. Utilizing the state-of-the-art information technologies (IT), various diagnostic medical instruments have been integrated into a personal wearable device and a home telehealthcare system. We developed a wrist-worn integrated health monitoring device (WIHMD) which performs the measurements of non-invasive blood pressure (NIBP), pulse oximetry (SpO2), electrocardiogram (ECG), respiration rate, heart rate, and body surface temperature and the detection of falls to determine the onset of emergency situation. The WIHMD also analyzes the acquired bio-signals and transmits the resultant data to a healthcare service center through a commercial cellular phone. Two different kinds of IT-based blood glucometer have been developed using a cellular phone and PDA(personal digital assistant) as a main unit. A blood glucometer was also integrated within a wrist pressure measurement module which is interfaced with a cellular phone via Telecommunications Technology Association (TTA) standard in order to provide users with easiness in measuring and handling two important health parameters. Non-intrusive bio-signal measurement systems were developed for the ease of home use. One can measure his ECG on a bed while he is sleeping; measure his ECG, body temperature, bodyfat ratio and weight on a toilet seat; measure his ECG on a chair; and estimate the degree of activity by motion analysis using a camera. Another integrated diagnostic system for home telehealthcare services has been developed to include a 12 channels ECG, a pressure meter for NIBP, a blood glucometer, a bodyfat meter and a spirometer. It is an expert system to analyze the measured health data and based on the diagnostic result, the system provides an appropriate medical consultation. The measured data can be either stored on the system or transmitted to the central server through the internet. We have installed the developed systems on a model house for the performance evaluation and confirmed the possibility of the system as an effective tool for the personalized healthcare services.
authors.affiliation: Dept. of Biomedical Engineering, College of Medicine and Center for Advanced Biometric Research Center, Seoul National University, Korea.
authors.forename: Honggu
authors.initials: H
authors.lastname: Chun
authors.forename: Jaemin
authors.initials: J
authors.lastname: Kang
authors.forename: Ki-Jung
authors.initials: KJ
authors.lastname: Kim
authors.forename: Kwang Suk
authors.initials: KS
authors.lastname: Park
authors.forename: Hee Chan
authors.initials: HC
authors.lastname: Kim
mesh_terms: D000058:Accidental Falls; D020811:Biomedical Technology / Q000295:instrumentation; D015374:Biosensing Techniques / Q000295:instrumentation*; D001786:Blood Glucose / Q000032:analysis; D040421:Cell Phone; D003195:Computer Communication Networks / Q000295:instrumentation* / Q000458:organization & administration; D034201:Computers, Handheld; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D017216:Telemedicine / Q000295:instrumentation*
chemical_list: D001786:Blood Glucose