지능형 ICT 융합 기술과 빅데이터 기반의 웰니스 기술 및 서비스 개발 연구
A Study on the Development of Wellness Technologies and Services over ICT Convergence Technology and Big-Data
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In this paper, HWCSM(Happy-tree Wellness Coaching Service Model) measure the user's bio-signals and information through a heart-beat pulse rate measurement sensor mounted on the body(index finger) to periodically measure personalized activity information and bio-signals and monitor the accumulated data, and provide them to an arrhythmia diagnosis server. Devices that adopt Intelligent ICT convergence technology are equipped with electrocardiography(ECG) measurement circuits that can be patched through multiple channels, and are distributed in various types, from small ICT convergence devices that are portable and movable to wearable devices. By utilizing a smart mobile convergence device based on an open platform that is wearable and portable, we measured the user's activity information and bio-information in heart-beat pulse rate per minute at a certain period at the minimum distance between the user and the finger sensor, and monitored in real time whether the measurement could be close to the results diagnosed in actual clinical practice.
Abstract
In this paper, HWCSM(Happy-tree Wellness Coaching Service Model) measure the user's bio-signals and information through a heart-beat pulse rate measurement sensor mounted on the body(index finger) to periodically measure personalized activity information and bio-signals and monitor the accumulated data, and provide them to an arrhythmia diagnosis server. Devices that adopt Intelligent ICT convergence technology are equipped with electrocardiography(ECG) measurement circuits that can be patched through multiple channels, and are distributed in various types, from small ICT convergence devices that are portable and movable to wearable devices. By utilizing a smart mobile convergence device based on an open platform that is wearable and portable, we measured the user's activity information and bio-information in heart-beat pulse rate per minute at a certain period at the minimum distance between the user and the finger sensor, and monitored in real time whether the measurement could be close to the results diagnosed in actual clinical practice.
참고문헌 (11)
- "주요 시장 통찰력, Medical Device, “Vital Signs Monitoring Device Market”" (2024)[URL]
- Bunn, J. A., "Current State of Commercial Wearable Technology in Physical Activity Monitoring 2015–2017", Int J Exerc Sci, 11, pp.503~515 (2018)
- 효령노령복지센타, "지역 메디헬스케어 산업 육성 시민 건강관리 강화협약", ~ (2024)
- "의료기기, IoT 날개 달고 무한 진중" (2023), 사이언스타임즈[URL]
- "모빌리티 과학기술뉴스" (2020)[URL]
- Cho, Kyeongrae, "Smatt Mobile Change the Future", pp.303~321 (2013), Mail Business Newspaper and MK Inc
- Weenk, M., "Continuous Monitoring of Vital Signs Using Wearable Devices on the General Ward: Pilot Study", J MIR M health Uhealth, 5, pp.e912017~
- Gambi, E., "Heart Rate Detection Using Microsoft Kinect : Validation and Comparison to Wearable Devices", Sensors (Basel), 17 (2018)
- Liu, Q., "In Microwave and Millimeter Wave Technology (ICMMT)", IEEE International Conference on, pp.1003~1005 (2017), IEEE
- 조경래, "IEEE 1588 표준을 지원하는 이기종 분산네트워크 환경에서 시간 동기화를 위한 PTP 알고리즘기반의 어플리케이션 프레임워크 개발 기법", 디지털산업정보학회 논문지, 9(3), pp.67~78 (2013)
- Cho, Kyeong-Rae, "A Study on the Performance and Influence of Patent Development Strategy in ICT Convergence Technology Using the Big Data", Advanced Science Letters, 23(12), pp.12812(6)~12817(6) (2017)