Search results for "liikeanalyysi"

showing 10 items of 32 documents

Jump Height from Inertial Recordings : A Tutorial for a Sports Scientist

2019

Jump performance provides meaningful information both for sporting and clinical needs. Current state-of-the-art in jump performance assessment is laboratory-bound, however, out-of-the-laboratory methods are desirable. Therefore, the purposes of the present investigation were 1) to explore whether utilising a novel analytical approach minimises the bias between inertial recording unit (IMU)-based and jump mat-based jump height estimates, and 2) to provide a thorough tutorial for a sport scientist (see appendix) to facilitate standardisation of jump height estimation. Forty one women, men and boys aged 6 to 77 years-of-age completed three maximal counter movement jumps without arm swing, whic…

AdultMalegyroscopeInertial frame of referenceCorrelation coefficientAdolescentMovementPhysical Therapy Sports Therapy and Rehabilitation030204 cardiovascular system & hematologyAccelerometerwearablelaw.invention03 medical and health sciencesWearable Electronic DevicesYoung Adult0302 clinical medicineInertial measurement unitlawAccelerometryHumansOrthopedics and Sports MedicineliikeanalyysiChildsignal processingSimulationMathematicsAgedinertial measurement unitLimits of agreementGyroscope030229 sport sciencesMiddle AgedBiomechanical PhenomenamittausmenetelmätaccelerometerArm swingJumpExercise TestFemalehyppääminenperformance
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The reliability of measuring medial gastrocnemius muscle-tendon unit lengths during gait

2021

Background Ultrasound imaging combined with 3D motion analysis allows for in-vivo assessment of muscle-tendon unit lengths during gait. The clinical relevance of analysing the medial gastrocnemius (MG) and Achilles muscle-tendon junction (MTJ), MG mid-muscle belly fascicles (FAS) and muscle thickness was shown. However, their reliability error estimations over the gait cycle is unknown. Research question What are the intra- and inter-session errors associated with extracting MG belly, thickness, FAS and tendon lengths using ultrasound during gait in healthy participants? Methods 3D gait analysis was carried out in ten healthy adults as they walked on an instrumented treadmill at a comfortab…

AdultMedial gastrocnemiusBiophysicslihaksetCHILDRENWalkingAchilles TendonStandard deviationjänteetGait (human)Dynamic ultrasoundMedicine and Health SciencesHumansMedicineOrthopedics and Sports MedicineliikeanalyysiLower limb muscle-tendonMuscle SkeletalGaitReliability (statistics)Ultrasonographyreliabiliteettibusiness.industryUltrasoundRehabilitationReproducibility of ResultsReliabilityjalatTendonkävelymittausmenetelmätPreferred walking speedmedicine.anatomical_structureGait analysisaskeleetultraäänitutkimusGait analysisbiomekaniikkabusinessWALKINGBiomedical engineering
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Comparison of body segment models for female high jumpers utilising DXA images

2022

In motion analysis of sport competitions, the question is often about the most convenient choice for defining the segment endpoints when no visible landmarks can be used. The purpose of the present study was to determine the location of the body centre of mass (CoM) of female high jumpers by using a high accuracy reaction board and two different segment models: Dempster, 1955, de Leva, 1996. Digitising the bony landmarks from the images of dual energy x-ray absorptiometry (DXA) and overhead digital camera were used to compare the digitising accuracy. The location of the CoM determined by a reaction board was 55.88 ± 0.52 % of subjects’ body height. The segment model of Dempster digitized fr…

DXAkorkeushyppypainopistesegment inertial parametersmotion analysisRehabilitationBiomedical EngineeringBiophysicsruumismassakeskipistereaktiivisuusBody HeightkehokorkeushyppääjätAbsorptiometry PhotonReference Valuesbody center of massBody CompositionHumansOrthopedics and Sports MedicineFemaleliikeanalyysiurheilukilpailutreaction boardurheilijat
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Analyzing multidimensional movement interaction with generalized cross-wavelet transform

2021

Humans are able to synchronize with musical events whilst coordinating their movements with others. Interpersonal entrainment phenomena, such as dance, involve multiple body parts and movement directions. Along with being multidimensional, dance movement interaction is plurifrequential, since it can occur at different frequencies simultaneously. Moreover, it is prone to nonstationarity, due to, for instance, displacements around the dance floor. Various methodological approaches have been adopted for the study of human entrainment, but only spectrogram-based techniques allow for an integral analysis thereof. This article proposes an alternative approach based upon the cross-wavelet transfor…

FOS: Computer and information sciencesDanceComputer sciencetanssiMovementBiophysicsmusiikkiWavelet AnalysisExperimental and Cognitive PsychologyTranslation (geometry)sosiaalinen vuorovaikutus050105 experimental psychologyEntrainmentMethodology (stat.ME)03 medical and health sciences0302 clinical medicinerytmitajuHumans0501 psychology and cognitive sciencesOrthopedics and Sports MedicineliikeanalyysiStatistics - MethodologyMovement (music)signaalinkäsittely05 social sciencesJoint actionGeneral MedicineliikeEntrainment (biomusicology)Time–frequency analysisDyadic interactionTime-frequency analysisDyadic interactionLeader-follower dynamicsSpectrogramsynkronointiAlgorithmRotation (mathematics)030217 neurology & neurosurgery
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Assessing physical performance and physical activity in large population-based aging studies: home-based assessments or visits to the research center?

2019

Abstract Background The current study aims to compare correlations between a range of measures of physical performance and physical activity assessing the same underlying construct in different settings, that is, in a home versus a highly standardized setting of the research center or accelerometer recording. We also evaluated the selective attrition of participants related to these different settings and how selective attrition affects the associations between variables and indicators of health, functioning and overall activity. Methods Cross-sectional analyses comprising population-based samples of people aged 75, 80, and 85 years living independently in Jyväskylä, Finland. The AGNES stud…

GerontologyMaleAgingOffice VisitsWalkingliikunta0302 clinical medicinestudy designEpidemiologyAttritionotanta030212 general & internal medicineFinlandmedia_commonAged 80 and overeducation.field_of_studyexerciselcsh:Public aspects of medicinePhysical Functional PerformancekävelyHouse CallsFunctional impairmentResearch DesignFemaleResearch centerResearch Articlemedicine.medical_specialtypostural analysesmedia_common.quotation_subjectPopulationtoimintahäiriöt03 medical and health scienceswalkingmedicineHumansselection biasliikeanalyysieducationExerciseGeriatric AssessmentAgedSelection biasSelection biasbusiness.industryMuscle strengthPublic healthagingPublic Health Environmental and Occupational HealthStudy designlcsh:RA1-1270030229 sport sciencesmedicine.diseasePreferred walking speedCross-Sectional Studiesfunctional impairmentikääntyminenmuscle strengthBiostatisticsbusinessPostural analyseslihasvoimaBMC Public Health
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Kalevalaisen jäsenkorjauksen yhteydet kävelyn biomekaniikkaan ja hermolihasjärjestelmän toimintaan

2017

Rutanen, Petra Maria, 2016. Kalevalaisen jäsenkorjauksen yhteydet kävelyn biomekaniikkaan ja hermolihasjärjestelmän toimintaan. Biomekaniikan pro gradu – tutkielma. Liikuntabiologian laitos. Jyväskylän yliopisto. 59 s. Alaselkäkipua kokee tutkimusten mukaan 80% väestöstä jossain vaiheessa elämäänsä, ja se on suuri terveydellinen ja sosioekonominen taakka. Alaselkäkivusta kärsivillä todetaan usein muutoksia biomekaanisessa toiminnassa sisältäen mm. muutoksia liikemalleissa, hermolihasjärjestelmän toiminnassa, lihasaktiivisuuksissa ja vartalon rotaatiossa. Alaselkäkivusta kärsiville on tehty useita tutkimuksia, joissa interventiona on erilaisia liikunta- tai hoitomuotoja. Tässä tutkimuksessa …

Kalevalainen jäsenkorjausjäsenkorjaushermolihasjärjestelmähermo-lihastoimintaalaselkäkipukipukrooninen kipuselkälihaksetkävelyn liikeanalyysiliikeanalyysikävely
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Analysing effectiveness of force application in ski skating using force and motion capture data : a model to support cross-country skiing research an…

2014

Maastohiihto on huomattavan vaativaa kokovartaloliikuntaa niin fysiologian kuin biomekaniikankin kannalta tarkasteltuna. Latujen kunnostuksen, hiihtovälineiden, hiihtotekniikoiden sekä kilpailumuotojen kehityksen myötä hiihdosta on tullut nopeampaa ja vaativampaa, joka asettaa suurempia haasteita voimantuotolle. Vastaavasti hiihtotutkimuksessa huomio on viime vuosikymmeninä siirtynyt enemmän biomekaniikan suuntaan. Ensimmäiset ulkoisten suksi- ja sauvavoimien mittaukset suoritettiin yli kolmekymmentä vuotta sitten ja useita yhteyksiä voimantuoton ominaisuuksien ja hiihtosuorituskyvyn välillä on sittemmin tunnistettu. Edelleen on kuitenkin epäselvää mitkä ovat tärkeimmät voimamuuttujat kuvaa…

MaastohiihtoLuisteluhiihtoTranslationaalinen voimavoimankäyttöBiomekaniikkaliikeanalyysivoima3D liikeanalysihiihtoPropulsiovoimaVoimankäytön tehokkuus
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Gait Variability Using Waist- and Ankle-Worn Inertial Measurement Units in Healthy Older Adults

2020

Gait variability observed in step duration is predictive of impending adverse health outcomes among apparently healthy older adults and could potentially be evaluated using wearable sensors (inertial measurement units, IMU). The purpose of the present study was to establish the reliability and concurrent validity of gait variability and complexity evaluated with a waist and an ankle-worn IMU. Seventeen women (age 74.8 (SD 44) years) and 10 men (73.7 (4.1) years) attended two laboratory measurement sessions a week apart. Their stride duration variability was concurrently evaluated based on a continuous 3 min walk using a force plate and a waist- and an ankle-worn IMU. Their gait complexity (…

MaleReproducibility of Resultsdynamicslcsh:Chemical technologygaitArticlewearablekävelyWearable Electronic DevicesaccelerometerHumansnon-linearFemalelcsh:TP1-1185liikeanalyysibiomekaniikkaAnkleGait Analysishuman activitiesikääntyneetAged
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Using deep neural networks for kinematic analysis: Challenges and opportunities

2020

Kinematic analysis is often performed in a lab using optical cameras combined with reflective markers.\ud With the advent of artificial intelligence techniques such as deep neural networks, it is now possible\ud to perform such analyses without markers, making outdoor applications feasible. In this paper I summarise\ud 2D markerless approaches for estimating joint angles, highlighting their strengths and limitations.\ud In computer science, so-called ‘‘pose estimation” algorithms have existed for many years. These methods\ud involve training a neural network to detect features (e.g. anatomical landmarks) using a process called\ud supervised learning, which requires ‘‘training” images to be …

Motion analysisComputer scienceProcess (engineering)media_common.quotation_subject0206 medical engineeringBiomedical EngineeringBiophysicsneuroverkot02 engineering and technologyMachine learningcomputer.software_genreTask (project management)QA7603 medical and health sciences0302 clinical medicineDeep LearningArtificial IntelligenceHumansOrthopedics and Sports MedicineQuality (business)liikeanalyysiPosemedia_commonQMliikeoppiArtificial neural networkGV557_SportsT1business.industrymotion analysisRehabilitationSupervised learningdeep neural networkartificial intelligence020601 biomedical engineeringBiomechanical Phenomenakoneoppiminenkinematicsmarkerless trackingArtificial intelligenceNeural Networks ComputerbusinessTransfer of learningcomputer030217 neurology & neurosurgeryAlgorithms
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Decoding Individual differences and musical preference via music-induced movement.

2022

AbstractMovement is a universal response to music, with dance often taking place in social settings. Although previous work has suggested that socially relevant information, such as personality and gender, are encoded in dance movement, the generalizability of previous work is limited. The current study aims to decode dancers’ gender, personality traits, and music preference from music-induced movements. We propose a method that predicts such individual difference from free dance movements, and demonstrate the robustness of the proposed method by using two data sets collected using different musical stimuli. In addition, we introduce a novel measure to explore the relative importance of dif…

Multidisciplinarykoneoppiminentanssipersoonallisuuden piirteetmusiikkipsykologialiikeanalyysiruumiillisuusyksilöllisyyspersoonallisuusScientific reports
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