movisens ekgMove est un système de mesure ambulatoire psycho-physiologique - optimisé pour des fins de recherche.

Le capteur enregistre les données brutes d'ECG, d'accélération tridimensionnelle, de pression barométrique de l'air et de température jusqu'à 2 semaines.

A partir de ces données, des paramètres comme le rythme cardiaque, la variabilité du rythme cardiaque, les pas, les taux d'activité et la dépense énergétique (Excel) peuvent être secondairement calculés à l'aide du logiciel DataAnalyzer, ainsi que des rapports significatifs (PDF).

Le capteur peut être fixé à l'aide soit d'une ventrale (disponible en taille XS, S, M ou L, sinon à la demande), soit d'électrodes adhésives.




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EKG- und Aktivitätssensor ekgMove, Vorderseite

 


Principales caractéristiques

  • Association d'un électrocardiogramme et d'un capteur d'activité physique dans un seul système
  • Ventrale confortable avec un signal de haute qualité pour des mesures à long terme (jusqu'à 2 semaines), sans le câblage gênant des électrodes
  • Un calcul exact et validé de la dépense énergétique et de la reconnaissance de l'activité
  • Des données durables grâce au format de fichier ouvert
  • Un fonctionnement optimisé pour les études
  • Interfaces ouvertes : SDK pour Bluetooth et USB

Applications

  • Mobile monitorage à long terme de l'ECG
  • Mobile monitorage à long terme de la fréquence cardiaque et de la varibilité de la fréquence cardiaque
  • Étude sur le système nerveux autonome
  • Monitorage comportemental
  • Monitorage du stress psycho-physiologique
  • Calcul de la dépense énergétique et de la reconnaissance de l'activité
  • Psycho-neuro-immunologie
  • Informatique affective
  • Integration dans de complexes systèmes de monitorage

Produits et services adaptés

Téléchargement

Software
Documentation
Exemple de données
Exemple de rapports
Outils externes

Fiche technique

Power supply

Lithium-Ion battery

Supply voltage

3 V

Battery voltage

2,7 - 4,2 V

Number of charging cycles

300 with 1C/1C > 80%

Maximum recording capacity

At least 2 weeks, depending on firmware configuration

Battery run time (recording, Bluetooth off)

~ 2 days

Size of sensor

(W x H x D)

62,3mm x 38,6mm x 10,5mm

Weight of sensor

23,2g

Internal sensors

ECG-Amplifier:

Resolution: 12bit, Input range CM=560mV, DM=+/-5mV, Gain 227,

3db bandwidth 1,6 to 33Hz

Output rate: 256Hz to 1024Hz

 

3D acceleration sensor:

Measurement range: +/- 8 g

Noise: 4 mg

Output rate: 64 Hz

 

Pressure sensor:

Measurement range: 300 - 1100 hPa

Noise: 0,03 hPa

Output rate: 1 Hz

Indicators

LED, 3-color

(operation and charging status)

Vibrating alert (start and end of measurement)

Interfaces

Micro-USB, Bluetooth

Environmental conditions

Temperature:

-20 °C to 60 °C

0 °C to 45 °C during charging

 

Humidity:

0 to 75% RH relative humidity

 

Atmospheric pressure:

300 to 1100 hPa absolute

Littérature et validations

  • Self-reported emotion regulation difficulties are associated with mood but not with the biological stress response to thin ideal exposure.
    Nadine Humbel & Nadine Messerli-Bürgy & Kathrin Schuck et al. (2018) in: PLOS ONE (13). Read more...
  • Energy Expenditure During Incline Walking – Benefits of Integrating a Barometer into Activity Monitors.
    Manuel Armbruster & Panagiota Anastasopoulou & Stefan Altmann et al. (2018) in: American Journal of Sports Science (6). Read more...
  • Paranoid Delusions as an Adaptive Response to Social Evaluative Stress?.
    Annika Clamor & Katarina Krkovic (2018) in: Zeitschrift für Psychologie (226). Read more...
  • Effectiveness of a smartphone-based worry-reduction training for stress reduction: A randomized-controlled trial.
    Anke Versluis & Bart Verkuil & Philip Spinhoven et al. (2018) in: Psychology & Health (0). Read more...
  • Brute Force ECG Feature Extraction Applied on Discomfort Detection.
    Guillermo Hidalgo Gadea & Annika Kreuder & Carsten Stahlschmidt et al. (2018) in: Information Technology in Biomedicine: Proceedings 6th International Conference, ITIB'2018, Kamień Śląski, Poland, June 18--20, 2018. Read more...
  • An experience sampling study on the nature of the interaction between traumatic experiences, negative affect in everyday life, and threat beliefs.
    Katarina Krkovic & Björn Schlier & Tania Lincoln (2018) in: Schizophrenia Research. Read more...
  • Effects of office workstation type on physical activity and stress.
    Casey M Lindberg & Karthik Srinivasan & Brian Gilligan et al. (2018) in: Occupational and Environmental Medicine. Read more...
  • Immediate and sustained effects of intermittent exercise on inhibitory control and task-related heart rate variability in adolescents.
    Sebastian Ludyga & Uwe Pühse & Stefano Lucchi et al. (2018) in: Journal of Science and Medicine in Sport. Read more...
  • Physiological and cognitive performance of exposure to biophilic indoor environment .
    Jie Yin & Shihao Zhu & Piers MacNaughton et al. (2018) in: Building and Environment . Read more...
  • A Data Compression Hardware Accelerator Enabling Long-Term Biosignal Monitoring Based on Ultra-Low Power IoT Platforms.
    Christos P. Antonopoulos & Nikolaos S. Voros (2017) in: Electronics (6). Read more...
  • Sport activities in daily routine.
    Stephanie Jeckel & Gorden Sudeck (2017) in: German Journal of Exercise and Sport Research. Read more...
  • Physical Activity and Affective Well-Being in Everyday Life Comparing Sport Activities and Daily Physical Activities Regarding Acute and Sustainable Associations.
    Stephanie Jeckel & Gorden Sudeck (2016) in: Zeitschrift für Gesundheitspsychologie (24).
  • Prolonged Non-metabolic Heart Rate Variability Reduction as a Physiological Marker of Psychological Stress in Daily Life.
    Bart Verkuil & Jos F Brosschot & Marieke S Tollenaar et al. (2016) in: Annals of Behavioral Medicine. Read more...
  • Resource Efficient Data Compression Algorithms for Demanding, WSN based Biomedical Applications .
    Christos P. Antonopoulos & Nikolaos S. Voros (2015) in: Journal of Biomedical Informatics . Read more...
  • Mobile Sensors for Multiparametric Monitoring in Epileptic Patients.
    Stefan Hey & Panagiota Anastasopoulou & André Bideaux et al. (2015) in: Cyberphysical Systems for Epilepsy and Related Brain Disorders: Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Disease Management. Read more...
  • Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients.
    Dimitrios Triantafyllopoulos & Panagiotis Korvesis & Iosif Mporas et al. (2015) in: Journal of Medical Systems (40). Read more...
  • Does a 20-week aerobic exercise training programme increase our capabilities to buffer real-life stressors? A randomized, controlled trial using ambulatory assessment.
    Birte von Haaren & Joerg Ottenbacher & Julia Muenz et al. (2015) in: European Journal of Applied Physiology. Read more...
  • Integrating biosignals into information systems: A NeuroIS tool for improving emotion regulation.
    Philip J. Astor & Marc T. P. Adam & Petar Jerčić et al. (2014) in: Journal of Management Information Systems (01).
  • A personalized and reconfigurable cyberphysical system to handle multi-parametric data acquisition and analysis for mobile monitoring of epileptic patients.
    A. Bideaux & P. Anastasopoulou & S. Hey et al. (2014) in: Sensing and Control S&C BArcelona, Spain. Read more...
  • Study protocol: psychological and physiological consequences of exposure to mass media in young women-an experimental cross-sectional and longitudinal study and the role of moderators.
    Simone Munsch (2014) in: BMC Psychology (2). Read more...
  • Comparing Objective and Subjective Methods to Support Reflective Learning: an Experiment on the Influence on Affective Aspects.
    Verónica Rivera-Pelayo & Marc Kohaupt (2014). Read more...
  • Emotions and Emotion Regulation in Economic Decision Making.
    Philipp J. Astor (2013). Read more...
  • Design and Evaluation of Affective Serious Games for Emotion Regulation Training.
    Petar Jercic (2013).
  • Komfortgewinn für Passagiere auf Langstreckenflügen durch den Einsatz chronobiologisch angepasster LED-Kabinenbeleuchtung.
    A. Leder & J. Krajewski & S. Schnieder (2013) in: Deutscher Luft- und Raumfahrtkongress 2013, Stuttgart. Read more...
  • A Biofeedback Game for Training Arousal Regulation during a Stressful Task: The Space Investor.
    Olle Hilborn & Henrik Cederholm & Jeanette Eriksson et al. (2013) in: Human-Computer Interaction. Towards Intelligent and Implicit Interaction (8008). Read more...
  • Measuring emotional arousal for online applications: Evaluation of ultra-short term heart rate variability measures.
    Kristina Schaaff & Marc T. P. Adam (2013) in: International Conference on Affective Computing and Intelligent Interaction (ACII).
  • Enhancing mobile working memory training by using affective feedback..
    K. Schaaff (2013) in: IADIS International Conference on Mobile Learning, 14-16 March 2013, Lisbon, Portugal, 2013, Conference Proceedings pp. 269-273..
  • Mobile sensor systems for measurement of stress and physical activity in preventive healthcare applications.
    S. Hey (2012).
  • A Serious Game using Physiological Interfaces for Emotion regulation Training in the Context of Financial Decision-Making..
    Petar Jercic & Philipp J Astor & Marc Thomas Philipp Adam et al. (2012) in: Presented at European Conference of Information Systems (ECIS 2012), Barcelona, Spain, 10-13 June 2012. Read more...
  • An approach to automotive ECG measurement validation using a car-integrated test framework.
    Johannes Schneider & Christian Koellner & Stephan Heuer (2012) in: Intelligent Vehicles Symposium (IV), 2012 IEEE. Read more...
  • Motivation and User Acceptance of Using Physiological Data to Support Individual Reflection.
    A. Fessl & V. Rivera-Pelayo & L. Müller et al. (2011) in: 2nd International Workshop on Motivational and Affective Aspects in Technology Enhanced Learning (MATEL 11). Read more...
  • Estimation of 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 and Physical Activity (Volume 8). Read more...
  • User Study: Motivation and User Acceptance of Using Physiological Data to Support Individual Reflection..
    Angela Fessl & Verónica Rivera-Pelayo & Lars Müller et al. (2011).
  • From Stress Awareness to Coping Strategies of Medical Staff: Supporting Reflection on Physiological Data.
    Lars Müller & Veronica Rivera Pelayo & Christine Kunzmann et al. (2011) in: Second International Workshop on Human Behavior Understanding HBU 2011. Read more...
  • Einsatz sensorgestützter Verfahren im Gesundheitswesen: Herausforderungen und Lösungsansätze.
    D.I.D.S. Saboor & M.F.H.M. Schallhart (2011). Read more...
  • Sensor Chest Strap Wirelessly Coupled with an e-Diary for Ambulatory Assessment of Psycho-Physiological Data.
    Jürgen Stumpp & Panagiota Anastasopoulou & Hatem Sghir et al. (2011) in: Assessing Real-World Impact of Clinical Interventions and Outcomes.
  • Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology..
    (1996) in: Circulation (93).

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