title: Development of bio-signal measurement system for sports healthcare.
abstract: The purpose of this study is to determine an individual physiological signal and based on the information; develop equipment that will encourage the efficiency of exercise. To evaluate the practical use of equipment an experiment is carried out. The signal of twenty adult male is determined under condition of Exercise Stress Test. Measured physiological signals are ECG from ears, chest (Lead I), PPG from earlap, activity from ear and arm, and the body skin temperature of arm. For ECG data, there are two signals: one is ear-arm signal, and the other is chest (Lead I) signal. When compare those two, ear-arm detection rate shows 92.08% detection, and 93.13% at chest. The error rate occurred average 0.035(+/-0.014) seconds and 0.026(+/-0.017) seconds. For PPG, we can reduce the influence of motion artifact by Autocorrelation method, and as a result, peak detection rate increased from 94.3% to 98.4%, decreased the error rate with 0.058+/-0.076 to 0.023+/-0.031, Also, we certified that if the speed and elevation of the treadmill increase, physical activity increase, and the body temperature gets decreased. Upon this consequence, we developed a physiological data acquisition system that is convenient to user while they are exercising.
authors.affiliation: Biomedical Engineering Department, Yonsei University, 234 maeji heung-up, Wonju, Kangwon, Republic of Korea. bluefor82@naver.com
authors.forename: Sungjun
authors.initials: S
authors.lastname: Park
authors.forename: Incheol
authors.initials: I
authors.lastname: Jeong
authors.forename: Myeongheon
authors.initials: M
authors.lastname: Sim
authors.forename: Ukjin
authors.initials: U
authors.lastname: Yoon
authors.forename: Taemin
authors.initials: T
authors.lastname: Shin
authors.forename: Hyungro
authors.initials: H
authors.lastname: Yoon
mesh_terms: D004867:Equipment Design; D019544:Equipment Failure Analysis; D005080:Exercise Test / Q000295:instrumentation*; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013178:Sports Medicine / Q000295:instrumentation*