A concept for personal wellness management based on activity monitoring

Elina M. Mattila, Ilkka Korhonen, Juho Merilahti, A. Nummela, M. Myllymäki, H. Rusko

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)

Abstract

Lifestyle related health problems are increasing rapidly. Many of them could be prevented or alleviated by sufficient physical activity, enough sleep, and a balanced diet. Individual citizens have the main responsibility for their own health and wellness management in their daily lives. Motivational tools based on modern technologies can support people in this task. Vivago Personal Wellness Manager (PWM) is a concept for personal wellness management, based on continuous activity monitoring with a wrist-worn device combined with immediate feedback on daily activity, e.g., sleep and physical activity. The concept allows long-term monitoring of activity patterns and includes PC software for detailed analysis of long-term data. We studied the ability of PWM to detect different levels of activity and to estimate energy expenditure. The classification accuracy of our method was 85.4% (SD: 6.3, range: 71.8-94.4%). The mean absolute error of the energy expenditure estimate was 8.7% (SD: 8.0, range: 1.2-32.1%). (23 refs.)
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationSecond International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages32-36
ISBN (Print)978-963-9799-15-8
DOIs
Publication statusPublished - 2008
MoE publication typeA4 Article in a conference publication
Event2nd International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008 - Tampere, Finland
Duration: 30 Jan 20081 Feb 2008

Conference

Conference2nd International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008
Abbreviated titlePervasiveHealth 2008
CountryFinland
CityTampere
Period30/01/081/02/08

Fingerprint

Energy Metabolism
Sleep
Aptitude
Health
Wrist
Life Style
Software
Diet
Technology
Equipment and Supplies

Keywords

  • Activity monitoring
  • Energy expenditure estimation
  • Healthenhancing physical activity
  • Wellness management

Cite this

Mattila, E. M., Korhonen, I., Merilahti, J., Nummela, A., Myllymäki, M., & Rusko, H. (2008). A concept for personal wellness management based on activity monitoring. In Proceedings: Second International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008 (pp. 32-36). Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/PCTHEALTH.2008.4571020
Mattila, Elina M. ; Korhonen, Ilkka ; Merilahti, Juho ; Nummela, A. ; Myllymäki, M. ; Rusko, H. / A concept for personal wellness management based on activity monitoring. Proceedings: Second International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2008. pp. 32-36
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title = "A concept for personal wellness management based on activity monitoring",
abstract = "Lifestyle related health problems are increasing rapidly. Many of them could be prevented or alleviated by sufficient physical activity, enough sleep, and a balanced diet. Individual citizens have the main responsibility for their own health and wellness management in their daily lives. Motivational tools based on modern technologies can support people in this task. Vivago Personal Wellness Manager (PWM) is a concept for personal wellness management, based on continuous activity monitoring with a wrist-worn device combined with immediate feedback on daily activity, e.g., sleep and physical activity. The concept allows long-term monitoring of activity patterns and includes PC software for detailed analysis of long-term data. We studied the ability of PWM to detect different levels of activity and to estimate energy expenditure. The classification accuracy of our method was 85.4{\%} (SD: 6.3, range: 71.8-94.4{\%}). The mean absolute error of the energy expenditure estimate was 8.7{\%} (SD: 8.0, range: 1.2-32.1{\%}). (23 refs.)",
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Mattila, EM, Korhonen, I, Merilahti, J, Nummela, A, Myllymäki, M & Rusko, H 2008, A concept for personal wellness management based on activity monitoring. in Proceedings: Second International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008. IEEE Institute of Electrical and Electronic Engineers , Piscataway, NJ, USA, pp. 32-36, 2nd International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008, Tampere, Finland, 30/01/08. https://doi.org/10.1109/PCTHEALTH.2008.4571020

A concept for personal wellness management based on activity monitoring. / Mattila, Elina M.; Korhonen, Ilkka; Merilahti, Juho; Nummela, A.; Myllymäki, M.; Rusko, H.

Proceedings: Second International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2008. p. 32-36.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Mattila EM, Korhonen I, Merilahti J, Nummela A, Myllymäki M, Rusko H. A concept for personal wellness management based on activity monitoring. In Proceedings: Second International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008. Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . 2008. p. 32-36 https://doi.org/10.1109/PCTHEALTH.2008.4571020