Quantification of Epileptiform Electroencephalographic Activity during Sevoflurane Mask Induction by SÄRKELÄ, Mika O. K, ERMES, Miikka J, VAN GILS, Mark J, YLI-HANKALA, Arvi M, JÄNTTI, Ville H, VAKKURI, Anne P

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Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions by Ermes, M., Parkka, J., Mantyjarvi, J., Korhonen, I.

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Activity classification using realistic data from wearable sensors by Parkka, J., Ermes, M., Korpipaa, P., Mantyjarvi, J., Peltola, J., Korhonen, I.

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The effects of acceptance and commitment therapy on eating behavior and diet delivered through face-to-face contact and a mobile app: a randomized controlled trial by Järvelä-Reijonen, Elina, Karhunen, Leila, Sairanen, Essi, Muotka, Joona, Lindroos, Sanni, Laitinen, Jaana, Puttonen, Sampsa, Peuhkuri, Katri, Hallikainen, Maarit, Pihlajamäki, Jussi, Korpela, Riitta, Ermes, Miikka, Lappalainen, Raimo, Kolehmainen, Marjukka

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A Theory- and Evidence-Based Digital Intervention Tool for Weight Loss Maintenance (NoHoW Toolkit): Systematic Development and Refinement Study by Marques, Marta M, Matos, Marcela, Mattila, Elina, Encantado, Jorge, Duarte, Cristiana, Teixeira, Pedro J, Stubbs, R James, Sniehotta, Falko F, Ermes, Miikka, Harjumaa, Marja, Leppänen, Juha, Välkkynen, Pasi, Silva, Marlene N, Ferreira, Cláudia, Carvalho, Sérgio, Palmeira, Lara, Horgan, Graham, Heitmann, Berit Lilienthal, Evans, Elizabeth H, Palmeira, António L

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Personalization Algorithm for Real-Time Activity Recognition Using PDA, Wireless Motion Bands, and Binary Decision Tree by Pärkkä, J, Cluitmans, L, Ermes, M

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Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project by Stubbs, R. James, Duarte, Cristiana, Palmeira, António L., Sniehotta, Falko F., Horgan, Graham, Larsen, Sofus C., Marques, Marta M., Evans, Elizabeth H., Ermes, Miikka, Harjumaa, Marja, Turicchi, Jake, O’Driscoll, Ruari, Scott, Sarah E., Pearson, Beth, Ramsey, Lauren, Mattila, Elina, Matos, Marcela, Sacher, Paul, Woodward, Euan, Mikkelsen, Marie-Louise, Sainsbury, Kirby, Santos, Inês, Encantado, Jorge, Stalker, Carol, Teixeira, Pedro J., Heitmann, Berit Lilienthal

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Automatic feature selection and classification of physical and mental load using data from wearable sensors by Parkka, J, Ermes, M, van Gils, M

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3D accelerometer features' differences between young and older people, and between lower back and neck band sensor placements by Merilahti, J., Ermes, M.

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Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrest by Ermes, M., Sarkela, M., van Gils, M., Wennervirta, J., Vakkuri, A., Salmi, T.

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