A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System

Anita Honka; Mark van Gils; Juha Pärkkä

doi:10.1109/IEMBS.2011.6092046

A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System

Anita Honka, Mark van Gils, Juha Pärkkä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

8 Citations (Scopus)

Abstract

Regular aerobic exercise is a recommended treatment for elevated blood pressure (BP). However, making permanent lifestyle changes is not easy. Having personally relevant information about the treatment, about its effects and importance, is a precondition for motivation. Thus, the first step towards a successful lifestyle change is appropriate education. This paper describes a Sugeno-type Fuzzy Inference System (FIS) that predicts the effect of regular aerobic exercise on blood pressure based on the exercise dose variables, exercise frequency and intensity, as well as demographics (age, gender, ethnicity), and the baseline BP of a person. Since BP response to exercise varies largely between individuals, the system takes an initial step towards personalized prediction. Hence, the system can be used to educate a person about the benefits of exercise on BP in a personally relevant way, providing more accurate information than traditional education materials. Furthermore, preliminary validation results of the performance of the FIS are promising. The predictions comply with the findings of medical research for populations, though the individual-level validation remains still to be done.

Original language	English
Title of host publication	Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. Boston, MA, USA, 30 Aug. - 3 Sept. 2011
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	8299-8302
ISBN (Print)	9781424441211
DOIs	https://doi.org/10.1109/IEMBS.2011.6092046
Publication status	Published - 2011
MoE publication type	A4 Article in a conference publication
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society: EMBC 2011 - Boston, United States Duration: 30 Aug 2011 → 3 Sept 2011

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/Territory	United States
City	Boston
Period	30/08/11 → 3/09/11

Keywords

decision support methods and systems
personalised health

Access to Document

10.1109/IEMBS.2011.6092046

Cite this

Honka, A., van Gils, M., & Pärkkä, J. (2011). A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System. In Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. Boston, MA, USA, 30 Aug. - 3 Sept. 2011 (pp. 8299-8302). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IEMBS.2011.6092046

Honka, Anita ; van Gils, Mark ; Pärkkä, Juha. / A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System. Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. Boston, MA, USA, 30 Aug. - 3 Sept. 2011. IEEE Institute of Electrical and Electronic Engineers, 2011. pp. 8299-8302

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title = "A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System",

abstract = "Regular aerobic exercise is a recommended treatment for elevated blood pressure (BP). However, making permanent lifestyle changes is not easy. Having personally relevant information about the treatment, about its effects and importance, is a precondition for motivation. Thus, the first step towards a successful lifestyle change is appropriate education. This paper describes a Sugeno-type Fuzzy Inference System (FIS) that predicts the effect of regular aerobic exercise on blood pressure based on the exercise dose variables, exercise frequency and intensity, as well as demographics (age, gender, ethnicity), and the baseline BP of a person. Since BP response to exercise varies largely between individuals, the system takes an initial step towards personalized prediction. Hence, the system can be used to educate a person about the benefits of exercise on BP in a personally relevant way, providing more accurate information than traditional education materials. Furthermore, preliminary validation results of the performance of the FIS are promising. The predictions comply with the findings of medical research for populations, though the individual-level validation remains still to be done.",

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doi = "10.1109/IEMBS.2011.6092046",

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booktitle = "Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. Boston, MA, USA, 30 Aug. - 3 Sept. 2011",

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Honka, A, van Gils, M & Pärkkä, J 2011, A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System. in Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. Boston, MA, USA, 30 Aug. - 3 Sept. 2011. IEEE Institute of Electrical and Electronic Engineers, pp. 8299-8302, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, Massachusetts, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6092046

A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System. / Honka, Anita; van Gils, Mark; Pärkkä, Juha.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. Boston, MA, USA, 30 Aug. - 3 Sept. 2011. IEEE Institute of Electrical and Electronic Engineers, 2011. p. 8299-8302.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - Regular aerobic exercise is a recommended treatment for elevated blood pressure (BP). However, making permanent lifestyle changes is not easy. Having personally relevant information about the treatment, about its effects and importance, is a precondition for motivation. Thus, the first step towards a successful lifestyle change is appropriate education. This paper describes a Sugeno-type Fuzzy Inference System (FIS) that predicts the effect of regular aerobic exercise on blood pressure based on the exercise dose variables, exercise frequency and intensity, as well as demographics (age, gender, ethnicity), and the baseline BP of a person. Since BP response to exercise varies largely between individuals, the system takes an initial step towards personalized prediction. Hence, the system can be used to educate a person about the benefits of exercise on BP in a personally relevant way, providing more accurate information than traditional education materials. Furthermore, preliminary validation results of the performance of the FIS are promising. The predictions comply with the findings of medical research for populations, though the individual-level validation remains still to be done.

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Honka A, van Gils M, Pärkkä J. A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System. In Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. Boston, MA, USA, 30 Aug. - 3 Sept. 2011. IEEE Institute of Electrical and Electronic Engineers. 2011. p. 8299-8302 doi: 10.1109/IEMBS.2011.6092046

A Personalized Approach for Predicting the Effect of Aerobic Exercise on Blood Pressure Using a Fuzzy Inference System

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