Mikko Lindholm

1990 …2019
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Mikko Lindholm is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 23 Similar Profiles
Sensors Engineering & Materials Science
Biometrics Engineering & Materials Science
Accelerometers Engineering & Materials Science
Mobile devices Engineering & Materials Science
Personnel Engineering & Materials Science
Accelerometer Mathematics
Decision making Engineering & Materials Science
Gait Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1990 2019

  • 11 Conference article in proceedings
  • 10 Article
  • 4 Report
  • 2 Chapter or book article

Metabolic state as a modulator of neural event-related potentials for food stimuli in an implicit association test

Lahtinen, A., Juvonen, K., Lapveteläinen, A., Kolehmainen, M., Lindholm, M., Tanila, H., Kantanen, T., Sinikallio, S., Karhunen, L. & Närväinen, J., 1 Oct 2019, In : Physiology and Behavior. 209, 112589.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Evoked Potentials
Food
Motivation
Pleasure
Meals

Technologies for fall risk assessment and conceptual design in personal health record system

Immonen, M., Similä, H., Lindholm, M., Korpelainen, R. & Jämsä, T., 10 Mar 2019, In : Finnish Journal of eHealth and eWelfare. 11, 1-2, p. 53-67

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Conceptual design
Risk assessment
Health
Sensors
Public health
4 Citations (Scopus)

Unobtrusive stress detection on the basis of smartphone usage data

Vildjiounaite, E., Kallio, J., Kyllönen, V., Nieminen, M., Määttänen, I., Lindholm, M., Mäntyjärvi, J. & Gimel'farb, G., 17 Jan 2018, In : Personal and Ubiquitous Computing. 22, 4, p. 671-688 18 p.

Research output: Contribution to journalArticleScientificpeer-review

Smartphones
Hidden Markov models
Detectors
Supervised learning
Medical problems
4 Citations (Scopus)

Unsupervised stress detection algorithm and experiments with real life data

Vildjiounaite, E., Kallio, J., Mäntyjärvi, J., Kyllönen, V., Lindholm, M. & Gimel'farb, G., 1 Jan 2017, Progress in Artificial Intelligence. Vale, Z., Oliveira, E., Gama, J. & Lopes Cardoso, H. (eds.). Springer, p. 95-107 13 p. (Lecture Notes in Computer Science, Vol. 10423 LNAI).

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

Experiments
Detectors
Hidden Markov models
Industry
9 Citations (Scopus)

Accelerometry-based berg balance scale score estimation

Similä, H., Mäntyjärvi, J., Merilahti, J., Lindholm, M. & Ermes, M., 2014, In : IEEE Journal of Biomedical and Health Informatics. 18, 4, p. 1114-1121

Research output: Contribution to journalArticleScientificpeer-review

Accelerometry
Gait
Accidental Falls
Walking
Young Adult