TY - GEN
T1 - Alerting system for sport activity based on ECG signals using proportional integral derivative
AU - Octaviani, Vika
AU - Kurniawan, Arief
AU - Suprapto, Yoyon Kusnendar
AU - Zaini, Ahmad
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/22
Y1 - 2017/12/22
N2 - Exercise makes the body fit, but most people do not know the intensity of the exercise they are doing right or otherwise can be dangerous, because not everyone knows the maximum heart rate (MHR), Heart Rate Resting (HRRest), heart rate reserve (HRR) and Target Heart Rate (THR) for each individual, it is proposed an ECG signal-based warning system to find out how much a person’s maximum limit in exercise based on age, gender, body mass index, MHR, RHR, THRmin and THRmax. The data is taken by using ECG sensors from the subjects who are doing sport activities using a treadmill by noting the resulted feature when the subject reaches the maximum limit of the heart rate (THRmax) target. Range is calculated from 50% of the THR value, which increases periodically during treadmill activities up to 85% of THR. When already exceed THRmax, then the system will automatically warn and decrease the level of exercise to medium to low levels in the cooling down level. For the % hardware errors in a row from 1 minute, 3 minutes, 5 minutes, and 10 minutes obtained % error with 0.77±0.14. The RMSE of the hardware and software test showed high accuracy because of the small value of error. The system succeeds to alert any intensity level of sport based on the Proportional integral derivative according to the bpm value generated by the subject during the treadmill exercise.
AB - Exercise makes the body fit, but most people do not know the intensity of the exercise they are doing right or otherwise can be dangerous, because not everyone knows the maximum heart rate (MHR), Heart Rate Resting (HRRest), heart rate reserve (HRR) and Target Heart Rate (THR) for each individual, it is proposed an ECG signal-based warning system to find out how much a person’s maximum limit in exercise based on age, gender, body mass index, MHR, RHR, THRmin and THRmax. The data is taken by using ECG sensors from the subjects who are doing sport activities using a treadmill by noting the resulted feature when the subject reaches the maximum limit of the heart rate (THRmax) target. Range is calculated from 50% of the THR value, which increases periodically during treadmill activities up to 85% of THR. When already exceed THRmax, then the system will automatically warn and decrease the level of exercise to medium to low levels in the cooling down level. For the % hardware errors in a row from 1 minute, 3 minutes, 5 minutes, and 10 minutes obtained % error with 0.77±0.14. The RMSE of the hardware and software test showed high accuracy because of the small value of error. The system succeeds to alert any intensity level of sport based on the Proportional integral derivative according to the bpm value generated by the subject during the treadmill exercise.
KW - Alerting system
KW - ECG
KW - Heart rate monitoring
KW - Proportional integral derivative
UR - http://www.scopus.com/inward/record.url?scp=85046449649&partnerID=8YFLogxK
U2 - 10.1109/EECSI.2017.8239104
DO - 10.1109/EECSI.2017.8239104
M3 - Conference contribution
AN - SCOPUS:85046449649
T3 - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
BT - Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017
A2 - Rahmawan, Hatib
A2 - Facta, Mochammad
A2 - Riyadi, Munawar A.
A2 - Stiawan, Deris
PB - Institute of Advanced Engineering and Science
T2 - 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017
Y2 - 19 September 2017 through 21 September 2017
ER -