Detection of the effect of exercise on APG signals

Joe Joseph; Mirjam Jonkman; Sami Azam; Friso De Boer; Damien Hill; Bharanidaran Shanmugam

doi:10.1109/ICCCI.2018.8441251

Detection of the effect of exercise on APG signals

Joe Joseph, Mirjam Jonkman, Sami Azam, Friso De Boer, Damien Hill, Bharanidaran Shanmugam

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

Exercise is a key aspect of a healthy lifestyle. The purpose of this research is to investigate the effects of exercise on APG signals in a cool environment. Twenty seven healthy volunteers above the age of 18 years were selected for the experiments. They were asked to walk at a speed of 5 km/hour on a treadmill with an inclination of 1% for 30 minutes, which corresponds to moderate exercise. The PPG signals were collected before and immediately after the exercise. The second derivative is taken to find the APG and APG indices are calculated. After analysing the data it was found that c-d-e component of APG became smoother after exercise. The d-point depression became much less pronounced and disappeared completely in a number of cases. No significant change in the b/a and c/a indices was found for the subjects tested. Results indicate that the d-point depression is inversely related to the heart rate. It may, however, also affected by other variables, such as body temperature or blood flow distribution.

Original language	English
Title of host publication	2018 International Conference on Computer Communication and Informatics, ICCCI 2018
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
Edition	1
ISBN (Electronic)	978-1-5386-2238-4
ISBN (Print)	978-1-5386-2239-1
DOIs	https://doi.org/10.1109/ICCCI.2018.8441251
Publication status	Published - 23 Aug 2018
Event	8th International Conference on Computer Communication and Informatics, ICCCI 2018 - Coimbatore, India Duration: 4 Jan 2018 → 6 Jan 2018

Conference

Conference	8th International Conference on Computer Communication and Informatics, ICCCI 2018
Country/Territory	India
City	Coimbatore
Period	4/01/18 → 6/01/18

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10.1109/ICCCI.2018.8441251

Cite this

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title = "Detection of the effect of exercise on APG signals",

abstract = "Exercise is a key aspect of a healthy lifestyle. The purpose of this research is to investigate the effects of exercise on APG signals in a cool environment. Twenty seven healthy volunteers above the age of 18 years were selected for the experiments. They were asked to walk at a speed of 5 km/hour on a treadmill with an inclination of 1% for 30 minutes, which corresponds to moderate exercise. The PPG signals were collected before and immediately after the exercise. The second derivative is taken to find the APG and APG indices are calculated. After analysing the data it was found that c-d-e component of APG became smoother after exercise. The d-point depression became much less pronounced and disappeared completely in a number of cases. No significant change in the b/a and c/a indices was found for the subjects tested. Results indicate that the d-point depression is inversely related to the heart rate. It may, however, also affected by other variables, such as body temperature or blood flow distribution.",

author = "Joe Joseph and Mirjam Jonkman and Sami Azam and {De Boer}, Friso and Damien Hill and Bharanidaran Shanmugam",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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note = "8th International Conference on Computer Communication and Informatics, ICCCI 2018 ; Conference date: 04-01-2018 Through 06-01-2018",

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Joseph, J, Jonkman, M , Azam, S , De Boer, F, Hill, D & Shanmugam, B 2018, Detection of the effect of exercise on APG signals. in 2018 International Conference on Computer Communication and Informatics, ICCCI 2018. 1 edn, 8441251, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 1-6, 8th International Conference on Computer Communication and Informatics, ICCCI 2018, Coimbatore, India, 4/01/18. https://doi.org/10.1109/ICCCI.2018.8441251

Detection of the effect of exercise on APG signals. / Joseph, Joe; Jonkman, Mirjam ; Azam, Sami et al.
2018 International Conference on Computer Communication and Informatics, ICCCI 2018. 1. ed. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 1-6 8441251.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - Detection of the effect of exercise on APG signals

AU - Joseph, Joe

AU - Jonkman, Mirjam

AU - Azam, Sami

AU - De Boer, Friso

AU - Hill, Damien

AU - Shanmugam, Bharanidaran

PY - 2018/8/23

Y1 - 2018/8/23

N2 - Exercise is a key aspect of a healthy lifestyle. The purpose of this research is to investigate the effects of exercise on APG signals in a cool environment. Twenty seven healthy volunteers above the age of 18 years were selected for the experiments. They were asked to walk at a speed of 5 km/hour on a treadmill with an inclination of 1% for 30 minutes, which corresponds to moderate exercise. The PPG signals were collected before and immediately after the exercise. The second derivative is taken to find the APG and APG indices are calculated. After analysing the data it was found that c-d-e component of APG became smoother after exercise. The d-point depression became much less pronounced and disappeared completely in a number of cases. No significant change in the b/a and c/a indices was found for the subjects tested. Results indicate that the d-point depression is inversely related to the heart rate. It may, however, also affected by other variables, such as body temperature or blood flow distribution.

AB - Exercise is a key aspect of a healthy lifestyle. The purpose of this research is to investigate the effects of exercise on APG signals in a cool environment. Twenty seven healthy volunteers above the age of 18 years were selected for the experiments. They were asked to walk at a speed of 5 km/hour on a treadmill with an inclination of 1% for 30 minutes, which corresponds to moderate exercise. The PPG signals were collected before and immediately after the exercise. The second derivative is taken to find the APG and APG indices are calculated. After analysing the data it was found that c-d-e component of APG became smoother after exercise. The d-point depression became much less pronounced and disappeared completely in a number of cases. No significant change in the b/a and c/a indices was found for the subjects tested. Results indicate that the d-point depression is inversely related to the heart rate. It may, however, also affected by other variables, such as body temperature or blood flow distribution.

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BT - 2018 International Conference on Computer Communication and Informatics, ICCCI 2018

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ER -

Detection of the effect of exercise on APG signals

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