运动生理心理与能量消耗分析系统

MOVISENS MOVE 4是一款由德国品牌Movisens推出的高端运动生理心理与能量消耗分析系统。该系统结合了生理、心理以及运动学数据，利用MOVE 4、EcgMove 4 、EdaMove4为长时间连续动态评估人体运动大数据提供了多样化研究级工具。可计算能量消耗（Kcal）、活动强度、心率、心电图、HRV、皮肤电活动（EDA）、睡眠质量、环境光、体力活动指标、自主神经系统(ANS)的研究、行为监测、心理生理压力监测。

产品特点

准确性：MOVE4以其准确的数据采集能力而著称，可采集高分辨率的心电图、皮肤电活动、身体活动数据以及位置高度等多种信息，确保分析结果的可靠性。

强大软件支持：配备功能强大的分析软件，界面简洁直观，易于操作，可导出excel原始格式数据，一键导出pdf报告，对数据进行深入处理和分析。

连续动态评估：系统支持长时间连续监测，为科研人员和运动爱好者提供全面的运动评估报告。

科研认可：Movisens已成为世界上数百所科研院所的共同选择，大量使用Movisens发表的文献已经表明该系统得到广大科研人员的认可。

传感器分类

Move 4是一款活动传感器，用于测量物理活动数据，如活动强度、能量消耗等。

EcgMove 4是一款心电图（ECG）和活动传感器，用于测量心电活动、压力指数和能量消耗。

EdaMove4是一款用于测量电皮肤活动（EDA）和物理活动数据的传感器。

应用场景

MOVE 4适用于运动科学研究、心理评估、人体运动评估以及能量消耗分析等多个领域。无论是在实验室环境还是户外实地测试，该系统都能提供全面的数据支持。MOVISENS MOVE 4作为一款高端的运动生理心理与能量消耗分析系统，凭借其准确的数据采集、强大的软件支持以及广泛的科研应用，成为了运动科学和心理评估领域的重要工具。

技术参数

1 电池电压：3.7V

2 内存容量：4GB

3 记录容量：28天

4 续航：7天

5 尺寸：62,3 mm x 38,6 mm x 11,5mm

6 重量：≤25g

7 防水性：防水（IP64）

8 加速度量程：±16g

9 加速度采样率：64Hz

10 陀螺仪量程：±2000dps

11 压力传感器：300 - 1100 hPa

12 温度传感器：1Hz

13 LED：3种颜色

14 穿戴位置：臀部，胸部，手腕，上臂，脚踝，大腿

15 API：Java API (Windows)，蓝牙示例 (Android)

16可计算能量消耗（Kcal）、活动强度、睡眠质量、环境光、体力活动指标、心理生理压力监测。

发表文章

Influence ofmotivational interviewing on postoperative mobilization in the enhancedrecovery after surgery (ERAS®) pathway in elective colorectal surgery - arandomized patient-blinded pilot study.

R.Wiesenberger & J. Müller & M. Kaufmann et al. (2024) in: LangenbecksArch Surg (409). Read more...

Impact of aSemi-Rigid Knee Orthotic Intervention on Pain, Physical Activity, andFunctional Capacity in Patients with Medial Knee Osteoarthritis.

B. J.Stetter & J. Fiedler & M. Arndt et al. (2024) in: Journal of ClinicalMedicine (13 (6)). Read more...

PsychomotorSlowing in Psychosis and Inhibitory Repetitive Transcranial MagneticStimulation.

S. Walther& D. Alexaki & F. Weiss et al. (2024) in: JAMA Psychiatry. Read more...

Exploringthe Link between Lifestyle, Inflammation, and Insulin Resistance through anImproved Healthy Living Index.

F. Bruckner& J.R. Gruber & A. Ruf et al. (2024) in: MDPI (16(3)). Read more...

Developmentof a Machine Learning Model to Detect Freezing of Gait in Parkinson Patients.

K.Y.Hilbrants (2024). Read more...

Determinationof cut-off points for the Move4 accelerometer in children aged 8–13 years.

F. Beck& I. Marzi & A. Eisenreich et al. (2023) in: BMC Sports Science,Medicine and Rehabilitation (15, 163). Read more...

Momentarywithin-subject associations of affective states and physical behavior aremoderated by weather conditions in real life: an ambulatory assessment study.

I. Timm& M. Reichert & U. Ebner-Priemer et al. (2023) in: InternationalJournal of Behavioral Nutrition and Physical Activity (20). Read more...

MicrotemporalDynamics of Dietary Intake, Physical Activity, and Impulsivity in AdultAttention-Deficit/Hyperactivity Disorder: Ecological Momentary Assessment StudyWithin Nutritional Psychiatry.

A. Ruf &A. B. Neubauer & E. D. Koch et al. (2023) in: JMIR Publications (10). Readmore...

EcologicalMomentary Assessment in Nutritional Psychiatry: Microtemporal Dynamics ofDietary Intake, Physical Activity, and Impulsivity in Adult ADHD.

A. Ruf &A. B. Neubauer & E. D. Koch et al. (2023) in: JMIR Mental Health. Readmore...

Momentaryassociations between sedentary bouts, cognitive load and mood in daily life: Anambulatory assessment study.

M. Giurgio& U. Ebner-Priemer (2023) in: Mental Health and Physical Activity (25).Read more...

The WorkLifestyle-integrated Functional Exercise Program for Preventing FunctionalDecline in Employees over 55 years: Development and Initial Evaluation.

Y. Ritter& D. Pfister & G.M. Steckhan et al. (2023). Read more...

Multicentre,interventional, single-arm study protocol of telemonitored circadian rhythmsand patient-reported outcomes for improving mFOLFIRINOX safety in patients withpancreatic cancer.

M. Bouchahda& A. Ulusakarya & A. Thirot-Bidault et al. (2023) in: BMJ Open (13(6)).Read more...

Microstructuralwhite matter biomarkers of symptom severity and therapy outcome in catatonia:Rationale, study design and preliminary clinical data of the whiteCAT study.

D. Hirjak& G.A. Brandt & R. Peretzke et al. (2023) in: Schizophrenia Research.Read more...

Combinedphysical activity training versus aerobic activity training in unipolardepressive disorder: a quasi-randomised evaluation study.

A. Berwinkel& M. Driessen & T. Beblo et al. (2023) in: Neuropsychiatr. Read more...

AtCrossroads in a Virtual City: Effect of Spatial Disorientation on GaitVariability and Psychophysiological Response among Healthy Older Adults.

C. O.Amaefule & S. Lüdtke & A. Klostermann et al. (2022) in: Gerontology.Read more...

The 8thInternational Conference on Ambulatory Monitoring of Physical Activity andMovement: Active and Sitting Time Precursors to Mood in Young Adults.

B. Clark& E. Winkler & M. Giurgio et al. (2022) in: Journal for the Measurementof Physical Behaviour (5; 4). Read more...

Effects ofstrength exercise interventions on activities of daily living, motorperformance, and physical activity in children and adolescents with leukemia ornon-Hodgkin lymphoma: Results from the randomized controlled ActiveADL Study.

D. Gaser& C. Peters & R. Oberhoffer-Fritz et al. (2022) in: Frontiers inPediatrics. Read more...

Effectivenessof an evidence-based care pathway to improve mobility and participation inolder patients with vertigo and balance disorders in primary care(MobilE-PHY2): Study protocol for a multicentre cluster-randomised controlledtrial.

C.Horstmannshoff & S. Skudlik & J. Petermann et al. (2022) in: ResearchSquare. Read more...

TheBehavioral Mapping of Psychomotor Slowing in Psychosis Demonstrates HeterogeneityAmong Patients Suggesting Distinct Pathobiology.

N.Nadesalingam & S. Lefebvre & D. Alexaki et al. (2022). Read more...

Measuringcatatonia motor behavior with objective instrumentation.

S. von Känel& N. Nadesalingam & D. Alexaki et al. (2022) in: Frontiers inPsychology. Read more...

Mood-enhancingPhysical Activity in Individuals with Attention-Deficit/Hyperactivity Disorder(ADHD) and Healthy Youths – Daily Life Investigations by Ambulatory Assessment.

E.D. Koch(2022). Read more...

A temporalclassification method based on behavior time series data in patients withbehavioral variant of frontotemporal dementia and apathy.

C. Peltier& F. Lejeune & L.G.T. Jorgensen et al. (2022) in: Journal ofNeuroscience Methods (376). Read more...

The associationof stress and physical activity: Mind the ecological fallacy.

M. Reichert& S. Brüßler & I. Reinhardt et al. (2022) in: German Journal ofExercise and Sport Research (52). Read more...

Influence ofSit-Stand Tables in Classrooms on Children’s Sedentary Behavior and Teacher’sAcceptance and Feasibility: A Mixed-Methods Study.

P. Schwenke& M. Coenen (2022) in: Environmental Research and Public Health (19 (11)).Read more...

Sleepquality, valence, energetic arousal, and calmness as predictors of device-basedmeasured physical activity during a three-week mHealth intervention.

J. Fiedler& C. Seiferth & T. Eckert et al. (2022) in: German Journal of Exerciseand Sport Research. Read more...

Equivalencyof four research-grade movement sensors to assess movement behaviors and itsimplications for population surveillance.

J.H.Migueles & P. Molina-Garcia & L.V. Torrez-Lopez et al. (2022) in:Scientific Reports (12). Read more...

Analysis ofself-reported activities of daily living, motor performance and physicalactivity among children and adolescents with cancer: Baseline data from arandomised controlled trial assessed shortly after diagnosis of leukaemia ornon-Hodgkin lymphoma.

D. Gaser& C. Peters & M. Götte et al. (2022) in: Wiley. Read more...

Functionalconnectivity correlates of reduced goal-directed behaviorsin behaviouralvariant frontotemporal dementia.

V. Godefroy& B. Batrancourt & S. Charron et al. (2022) in: Research Square. Readmore...

Actigraph-MeasuredMovement Correlates of Attention-Deficit/Hyperactivity Disorder (ADHD) Symptomsin Young People with Tuberous Sclerosis Complex (TSC) with and withoutIntellectual Disability and Autism Spectrum Disorder (ASD).

T. Earnest& E. Shephard & C. Tye et al. (2020) in: Brain Sciences (8). Readmore...

Accuracy ofSedentary Behavior–Triggered Ecological Momentary Assessment for CollectingContextual Information: Development and Feasibility Study.

M. Giurgiu& C. Niermann & U. Ebner-Priemer et al. (2020) in: JMIR mHealth anduHealth (8).

Mood anddysfunctional cognitions constitute within - subject antecedents andconsequences of exercise in eating disorders.

M. Reichert& S. Schlegel & F. Jagan et al. (2020) in: Psychotherapy andPsychosomatics (89).

OREBA: ADataset for Objectively Recognizing Eating Behaviour and Associated Intake.

P.-V. Rouast& H. Heydarian & M.-T.-P. Adam et al. (2020).

Improvingmobility and participation of older people with vertigo, dizziness and balancedisorders in primary care using a care pathway: feasibility study and processevaluation.

E. Seckler& V. Regauer & M. Krüger et al. (2020) in: Research Square.

Fear ofPhysical Activity, Anxiety, and Depression. Barriers to Physical Activity inOutpatients With Heart Failure?.

H. Spaderna& J. M. Hoffmann & S. Hellwig et al. (2020) in: European Journal ofHealth Psychology (27). Read more...

The Freiburgsport therapy program for eating disorders: a randomized controlled trial.

A Zeeck& S. Schlegel & F. Jagan et al. (2020) in: Journal of Eating Disorders(8). Read more...

A neuralmechanism for affective well-being: Subgenual

cingulatecortex mediates real-life effects

ofnonexercise activity on energy.

R. Markus& U. Braun & G. Gan et al. (2020) in: Science advances (6).

Developmentof a classification system for assessing apathy’s degree in patients withbehavioral variant of frontotemporal dementia.

P. Fulcher(2020) in: MASTER’S DEGREE THESIS.

ValidatingAccelerometers for the Assessment of Body Position and Sedentary Behavior.

M. Giurgiu& J.B.J. Bussmann & H. Hill et al. (2020) in: Journal for theMeasurement of Physical Behaviour (Volume 3: Issue 3). Read more...

Breaking UpSedentary Behavior Optimally to Enhance Mood.

M. Giurgio& E.D. Koch & R.C. Plotnikoff et al. (2020) in: Medicine & Sciencein Sports & Exercise (52).

Real-TimeDetection of Spatial Disorientation in Persons with Mild Cognitive Impairmentand Dementia.

J. Schaat& P. Koldrack & K. Yordanova et al. (2019) in: Gerontology (1).

Dynamics ofIntraindividual Variability in Everyday Life Affect Across

Adulthoodand Old Age.

M. Katana(2019).

Embodiedlearning in the classroom: Effects on primary school children's attention andforeign language vocabulary learning.

M. Schmidt& V. Benzig & A. R. Wallman-Jones et al. (2019) in: Psychology of Sportand Exercise (43). Read more...

Neuralcorrelates of individual differences in affective benefit of real-life urbangreen space exposure.

Heike Tost& Markus Reichert & Urs Braun et al. (2019) in: Nature Neuroscience(7). Read more...

UsingAcceleration Data for Detecting Temporary Cognitive Overload in Health CareExemplified Shown in a Pill Sorting Task.

L. Kohout& M. Butz & W. Stork (2019) in: 2019 IEEE 32nd International Symposiumon Computer-Based Medical Systems (CBMS).

Sedentarybehavior in everyday life relates negatively to mood: An ambulatory Assessmentstudy.

MarcoGiurgiu & Elena D. Koch & Jörg Ottenbacher et al. (2019) in:Scandinavian Journal of Medicine & Science in Sports (29). Read more...

Promotion ofphysical activity-related health competence in physical education: studyprotocol for the GEKOS cluster randomized controlled trial.

StephanieHaible & Carmen Volk & Yolanda Demetriou et al. (2019) in: BMC PublicHealth (19). Read more...

EnergyExpenditure During Incline Walking – Benefits of Integrating a Barometer intoActivity Monitors.

M.Armbruster & P. Anastasopoulou & S. Altmann et al. (2018) in: AmericanJournal of Sports Science (6). Read more...

IndividualDifferences in the Competence for Physical-Activity-Related Affect RegulationModerate the Activity–Affect Association in Real-Life Situations.

GordenSudeck & Stephanie Jeckel & Tanja Schubert (2018) in: Journal of Sportand Exercise Psychology (40). Read more...

IntermittentFasting (Alternate Day Fasting) in Healthy, Non-obese Adults: Protocol for aCohort Trial with an Embedded Randomized Controlled Pilot Trial.

Norbert J.Tripolt & Slaven Stekovic & Felix Aberer et al. (2018) in: Advances inTherapy (35). Read more...

Bright lighttherapy versus physical exercise to prevent co-morbid depression and obesity inadolescents and young adults with attention-deficit / hyperactivity disorder:study protocol for a randomized controlled trial.

Jutta S.Mayer & Katharina Hees & Juliane Medda et al. (2018) in: Trials (19).Read more...

A novelalgorithm for detecting human circadian rhythms using a thoracic temperaturesensor Article history :.

Aly Chkeir& Farah Mourad-chehade & Jacques Beau et al. (2017) in: Advances inScience, Technology and Engineering Systems Journal (2). Read more...

PhysicalActivity and Depressive Mood in the Daily Life of Older Adults.

Andrea E.Gruenenfelder-Steiger & Marko Katana & Annika A. Martin et al. (2017)in: GeroPsych (30). Read more...

MeasuringFear of Physical Activity in Patients with Heart Failure.

Jeremia M.Hoffmann & Susan Hellwig & Vincent M. Brandenburg et al. (2017) in:International Journal of Behavioral Medicine (25). Read more...

LightweightVisual Data Analysis on Mobile Devices - Providing Self-Monitoring Feedback.

SimonButscher & Yunlong Wang (2016) in: VVH 2016 - 1st International Workshop on"Valuable visualization of healthcare information": from thequantified self data to conversations (in conjunction with AVI '16). Readmore...

Contributionsà l’élaboration d’un système d’aide médico-sociale à l’aide d’un robothumanoïde.

LouiseDevigne (2015). Read more...

SituationsadaptiveNavigationsassistenz für Menschen mit Demenz.

P. Koldrack& R. Henkel & K. Zarm et al. (2015) in: AAL-Kongress 2015. Read more...

Real-Time Managementof Multimodal Streaming Data for Monitoring of Epileptic Patients.

DimitriosTriantafyllopoulos & Panagiotis Korvesis & Iosif Mporas et al. (2015)in: Journal of Medical Systems (40). Read more...

Bewegungsangstbei chronischer Herzinsuffizienz – Erste Ergebnisse zur Validierung einesMessinstruments.

H. Spaderna& S. Hellwig & D. Hennig et al. (2015) in: 12. Kongress der FachgrupppeGesundheitspsychologie - Abstracts. Read more...

Fitness,kognitive Leistungsfähigkeit und Wohlbefinden bei jungen Erwachsenen -Interventionsstudien zum Einfluss von Ausdauertraining.

KatrinWalter (2015). Read more...

Validationand comparison of two methods to assess human energy expenditure duringfree-living activities.

P.Anastasopoulou & M. Tubic & S. Schmidt et al. (2014) in: PLOS (PLoS ONE9(2): e90606). Read more...

Erfassungkörperlicher Aktivität mittels Akzelerometrie - Möglichkeiten und Grenzen austechnischer Sicht.

Stefan Hey& Panagiota Anastasopoulou & Birte von Haaren (2014) in:Bewegungstherapie und Gesundheitssport (30(02)). Read more...

Home-basedsystem for physical activity monitoring in patients with multiple sclerosis(Pilot study).

L. Shammas& T. Zentek & B. von Haaren et al. (2014) in: Biomedical engineeringonline (13). Read more...

Detection ofParameters to Quantify Neurobehavioral Alteration in Multiple Sclerosis Basedon Daily Life Physical Activity and Gait Using Ambulatory Assessment.

LayalShammas & Birte von Haaren & Angela Kunzler et al. (2014) in:Zeitschrift für Neuropsychologie (25). Read more...

UsingSupport Vector Regression for Assessing Human Energy Expenditure Using aTriaxial Accelerometer and a Barometer.

PanagiotaAnastasopoulou & Sascha Härtel & Mirnes Tubic et al. (2013) in:Wireless Mobile Communication and Healthcare.

A Comparisonof Two Commercial Activity Monitors for Measuring Step Counts During DifferentEveryday Life Walking Activities.

P.Anastasopoulou & S. Härtel & S. Hey (2013) in: International Journal ofSports Science and Engineering (Vol. 07 (2013) No. 01). Read more...

TheAssociation between Short Periods of Everyday Life Activities and AffectiveStates: A Replication Study Using Ambulatory Assessment.

ThomasBossmann & Martina Kanning & Susanne Koudela-Hamila et al. (2013) in:Frontiers in Psychology (4). Read more...

Characteristicsof the activity-affect association in inactive people: an ambulatory assessmentstudy in daily life.

B. vonHaaren & S.N. Loeffler & S. Haertel et al. (2013) in: Frontiers in MovementScience and Sport Psychology (4).

Acute andmedium term effects of a 10-week running intervention on mood state inapprentices.

KatrinWalter & Birte von Haaren & Simone Löffler et al. (2013) in: Frontiersin Movement Science and Sport Psychology (4). Read more...

Measurementof daily mobility under fampridine-therapy with Movisens-system in patientswith multiple sclerosis.

R. Kempcke& T. Schultheiß & S. Sobek et al. (2012) in: 28th European Committeefor Treatment and Research in Multiple Sclerosis (ECTRIMS).

Kindergartenin Bewegung. Zur Qualität von Bewegungskindergärten.

R. Schwarz(2012) in: Kita aktuell.

Assessmentder Mobilität im Alltag zur Unterstützung von MS-Patienten.

Shammas, L.& Bachis, S. & Anastasopoulou, P. et al. (2012) in: 15. Jahrestagungder dvs-Kommission Gesundheit, Leipzig.

Assessmentof Human Gait Speed and Energy Expenditure Using a Single TriaxialAccelerometer.

PanagiotaAnstasopoulou & Shammas Layal & Stefan Hey (2012) in: Wearable andImplantable Body Sensor Networks (BSN), 2012 Ninth International Conference on.Read more...

AktuelleMessverfahren zur objektiven Erfassung körperlicher Aktivitäten unter besondererBerücksichtigung der Schrittzahlmessung.

D. Rosenbaum(2012) in: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz(55). Read more...

A new methodto estimate energy expenditure using accelerometry and barometry-based energymodels.

P Anastasopoulou& L. Shammas & J. Stumpp et al. (2011) in: 45. DGBMT Jahrestagung.Freiburg.

Validity ofthe kmsMove-sensor in calculating energy expenditure during different walkingintensities.

B. vonHaaren & J.-P. Gnam & S. Helmholdt et al. (2011).

Estimationof energy expenditure using accelerometers and activity-based energy models -validation of a new device.

S. Härtel& J. P Gnam & S. Löffler et al. (2011) in: European Review of Aging andPhysical Activity (Volume 8). Read more...

Trends undMöglichkeiten zur Erfassung körperlicher Aktivität im Alltag.

S. Hey &U. Großmann & J. Ottenbacher et al. (2011) in: Kinder bewegen -wissenschaftliche Energien bündeln. Jahrestagung der dvs-Kommission Gesundheit,Karlsruhe.

Bewegungskindergärten:empirische Befunde und praktisches Wissen.

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Energieumsatzmessungmit Aktivitätssensoren – Validität des kmsMove-Akzelerometers.

B. vonHaaren & J.-P. Gnam & S. Härtel et al. (2011) in: Kinder bewegen -wissenschaftliche Energien bündeln.