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• Children’s physical activity and sedentary time compared using assessments of accelerometry counts and muscle activity level 

  Gao, Ying; Melin, Martti; Mäkäräinen, Karoliina; Rantalainen, Timo; Pesola, Arto J.; Laukkanen, Arto; Sääkslahti, Arja; Finni Juutinen, Taija (PeerJ Inc., 2018)

  Background This research compared accelerometry (ACC)-derived and muscle electromyography (EMG)-based estimates of physical activity (PA) and sedentary time in typical PA tasks and during the daily lives of children. ...

• Assessment of physical activity in normal daily life using shorts with embedded EMG electrodes 

  Haakana, Piia (2011)

  Fyysistä aktiivisuutta on perinteisesti mitattu syke-, kiihtyvyys- ja askelmittarein sekä kyselylomakkeilla. Lihasaktiivisuus on kuitenkin edellytys liikkeen synnylle, joten lihasaktiivisuuden mittaaminen reisilihaksista ...

• Impact of high intensity structured exercise on daily physical activity and specific physiological adaptation 

  Uusi-Vähälä, Marja (2018)

  Fyysinen aktiivisuus on jatkumo kevyestä aktiivisuudesta kovatehoiseen liikuntaan ja sen vaikutukset terveyteen, fyysiseen toimintakykyyn ja kuntoon ovat hyvin tunnettuja. Toisaalta myös fyysisen inaktiivisuuden ja ...

• Wearable electromyography recordings during daily life activities in children with cerebral palsy 

  Michelsen, Josephine S.; Lund, Mai C.; Alkjær, Tine; Finni, Taija; Nielsen, Jens B.; Lorentzen, Jakob (Wiley-Blackwell, 2020)

  Aim To test whether wearable textile electromyography (EMG) recording systems may detect differences in muscle activity levels during daily activities between children with cerebral palsy (CP) and age‐matched typically ...

• Sedentary Thresholds for Accelerometry-Based Mean Amplitude Deviation and Electromyography Amplitude in 7–11 Years Old Children 

  Gao, Ying; Haapala, Eero A.; Vanhala, Anssi; Sääkslahti, Arja; Rantakokko, Merja; Laukkanen, Arto; Pesola, Arto J.; Rantalainen, Timo; Finni, Taija (Frontiers Media, 2019)

  We investigated the ability of energy expenditure, movement sensing, and muscle activity to discriminate sedentary and non-sedentary activities in children. Thirty-five 7–11-year-old children participated in the study. ...