As part of the new sensor generation, the EcgMove 4 activity sensor combines the previous benefits of the proven EcgMove 3 with the 4th generation enhancements, allowing us to address a wide range of researchers' needs, implement their requests, and further enhance the quality of the sensors. Thus, the EcgMove 4 strengthens it's position as the go to device for researchers who care about high quality ECG and Activity data.


The 4th sensor generation offers researchers numerous advantages, including:

  • New design for optimal handling: The improved case offers a sleek design aesthetic offering many practical advantages. The waterproof and dirt-repellent housing coupled with the improved carrying systems make the sensors simpler, more versatile and safer to use.
  • More data collection capabilities: Thanks to the integration of the latest technologies, the 4th generation sensors now incorporate a Gyroscope (Angular Rate Sensor).
  • Improved analysis possibilities: Our highly acclaimed acceleration sensor also received an overhaul, and now records the measurement data at an even higher resolution. Consequently, we’ve achieved significant improvements in the obtainable results, especially in the analysis of sedentary behavior and non-wear detection.
  • Increased data retention: A new Bluetooth buffer ensures the preservation of data during disconnection, with the buffered data transferred upon reconnection; thus guaranteeing a continuous data recording at all times.
  • Broader research applications: Already a class leader in quality data acquisition for many research areas, these improvements expand the EcgMove 4's research capabilities. All the while remaining the best choice for researcher's requiring high quality ECG and physical activity data.

The EcgMove 4 follows on from the EcgMove 3 as the most precise sensor for the measurement of ECG combined with physical activity. Capable of long term ambulatory recordings without the inconvenience of cables. Through the parallel recording of the ECG and Activity Signals (ECG, 3D Accelerometer, Gyroscope, Barometric Air Pressure, and Temperature), the EcgMove 4 offers a rich treasure trove of data for the detailed analysis of the functioning of the heart, the autonomic nervous system, and additionally behaviour and activity. Whilst recording the raw data stream, the sensor can also analyze certain parameters live on the sensor and transmit the results via Bluetooth smart interface, e.g. to a smartphone.

The sensor is optimized for use in scientific studies and interactive ambulatory assessment. The new attachment systems offer you great flexibility in use and a high wearing comfort for the study participant, with the choice of adhesive electrodes or our acclaimed dry electrode textile chest belt. This leads to improved compliance, higher data volume and quality, and thus reduces the effort of carrying out a study and reduces costs.

Combined with our Analysis-Software DataAnalyzer allows the simple calculation of parameters such as Heart Frequency, Heart Rate Variability, Activity Class, Steps, Energy Expenditure and Metabolic Equivalent of Task (MET).



Top-Features

  • New design with new carrying systems in a waterproof housing
  • Advanced data acquisition through integrated gyroscope
  • New acceleration sensor with higher resolution
  • Attachment detection for automatically starting a measurement
  • Live analysis of measurement data
  • Improved data transfer via Bluetooth Smart interface
  • Combination of ECG- and Activity measurement in a single system
  • Exact and validated Energy Expenditure calculations and detection of everyday activities
  • Java API for USB (Windows)
  • API: Example implementation for Bluetooth Smart (Android)

Applications

  • Interactive Ambulatory Assessment
  • Mobile long term monitoring of Heart rate and Heart Rate Variability
  • Examination of the Autonomic Nervous System
  • Behavioural Monitoring
  • Psycho-physiological Stress-Monitoring
  • Energy Expenditure Calculation and Activity Recognition
  • Affective Computing
  • Integration in complex systems

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Software
Documentation
External Tools

Technical Data

Power supply

Lithium-Polymer-Battery

Battery voltage

3,7 V

Number of charging cycles

300 (with 1 C / 1 C > 80%)

Internal memory

4 GB

Maximum recording capacity

2 weeks

Battery run time

~ 3 days

Recharging time

~ 1 hour

Size of sensor (W x H x D)

62,3 mm x 38,6 mm x 11,5 mm

Weight of sensor

26 g

Protection rate

Waterproof (IP64)

Internal sensors

ECG sensor:

Resolution: 12 bit, Input range CM = 560 mV, DM = +/-5 mV, 3db bandwidth 1,6 - 33 Hz

Output rate: 1024 Hz

 

3D acceleration sensor:

Measurement range: +/- 16 g

Output rate: 64 Hz

 

Rotation rate sensor:

Measurement range: +/-2000 dps

Output rate: 64 Hz

 

Pressure sensor:

Measurement range: 300 - 1100 hPa

Noise: 0,03 hPa

Output rate: 8 Hz

 

Temperature sensor:

Output rate: 1 Hz

Live analysis

Heart Rate

bpmBxB

NN-List

HRV Rmssd

HRV is valid

Movement Acceleration

Step count

Indicators

LED, 3-color

Vibration alarm

User Interfaces

Marker (tapping)

Interfaces

Micro-USB, Bluetooth Smart (4.0)

API

Java API for USB (Windows)

Example for Bluetooth Smart (Android)

Wear locations

Chest

Wearing systems

Chest Belt, adhesive Electrodes

Environmental conditions

Temperature:

-20 °C to 60 °C

0 °C to 45 °C during charging

Atmospheric pressure:

300 to 1200 hPa absolute

Warranty

2 years

Literature und Validation

  • Acute Fasting Modulates Autonomic Nervous System Function and Ambulatory Cardiac Interoception.
    A. Schwerdtfeger & Rominger C. (2024) in: Biological Psychology. Read more...
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  • Exploring Information and Comfort Expectations Related to the Use of a Personal Ceiling Fan.
    R. Rissetto & M. Schweiker (2024) in: MDPI (14 (1)). Read more...
  • Determination of 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...
  • The misjudgment of interoceptive awareness: Systematic overrating of interoceptive awareness among individuals with lower interoceptive metacognitive skills.
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  • The cardiac correlates of feeling safe in everyday life: A Bayesian replication study.
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  • Step-by-step to more creativity: The number of steps in everyday life is related to creative ideation performance.
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  • The Real-Time Application of an Additional HRV Reduction Algorithm to Detect Negative Psychosocial States.
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  • Feasibility of Cardiac-based Seizure Detection and Prediction: A

    Systematic Review of Non-invasive Wearable Sensor-based
    Studies.

    E.A. Seth & J. Watterson & J. Xie et al. (2023) in: Epilepsia Open. Read more...
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  • Interactive teaching enhances students' physiological arousal during online learning.
    M. Gellisch & G. Morosan-Puopolo & O.T. Wolf et al. (2023) in: Annals of Anatomy (247). Read more...
  • Tranquillity, transcendence, and retreat: the transformative practice of listening at Evensong.
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  • At Crossroads in a Virtual City: Effect of Spatial Disorientation on Gait Variability and Psychophysiological Response among Healthy Older Adults.
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    A. Schwerdtfeger & L. Paul & Rominger C. (2022) in: International Journal of Psychophysiology (182). Read more...
  • THE ISSUE OF GLYCAEMIA AND HEART RATE VARIABILITY OF FLIGHT CREW DURING EMERGENCY SITUATIONS USING HRV CORSENSE ELITE.
    A. Pudíková & I. Škvareková (2022) in: University of Žilina. Read more...
  • Flow bei der Arbeit greifbar machen.
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  • Altered psychobiological reactivity but no impairment of emotion recognition following stress in adolescents with non-suicidal self-injury.
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  • Holter analysis of cardiac electro mechanical activity and circadian rhythm through ECG and inertial sensors : a novel approach.
    F. Mozzini & E.G. Caiani (2022). Read more...
  • Acute effects of a motor coordination intervention on executive functions in kindergartners: a proof-of-concept randomized controlled trial.
    P. Haas & G. Sudeck & A. Kelava et al. (2022) in: Pilot and Feasibility Studies (8). Read more...
  • Digital circadian and sleep health in individual hospital shift workers: A cross sectional telemonitoring study.
    Y. Zhang & E. Cordina-Duverger & S. Komarzynski et al. (2022) in: eBioMedicine, Part of THE LANCET Discovery Science (81). Read more...
  • Study-based evaluation of accuracy and usability of wearable devices in manual assembly.
    B. Tropschuh & S. Windecker & G. Reinhart (2022) in: Production & Manufacturing Research (10). Read more...
  • Decreased sympathetic cardiovascular influences and hormone-physiological changes in response to Covid-19-related adaptations under different learning environments.
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  • Prefrontal cortex oxygenation and autonomic nervous system activity under transcutaneous auricular vagus nerve stimulation in adolescents.
    S. Höper & M. Kaess & J. Koenig (2022) in: Autonomic Neuroscience (241). Read more...
  • The heart and diving; an alternative way to monitor a diver's heart functioning underwater.
    G. di Tursi (2022) in: DIVERS for the environment. Read more...
  • Physiological Stress Reactivity and Recovery: Some Laboratory Results Transfer to Daily Life.
    M. Bamert & J. Inauen (2022). Read more...
  • Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection.
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  • mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening.
    D. Kumar & R. Maharjan & A. Maxhuni et al. (2022) in: ACM Transactions on Computing for Healthcare (3, Issue 2). Read more...
  • Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia.
    L. Rösler & G. Van der Lande & J. Leerssen et al. (2022) in: Sleep Research Society 2. Read more...
  • The association between self-reported stress and cardiovascular measures in daily life: A systematic review.
    T. Vaessen & A. Rintala & N. Otsabryk et al. (2021) in: PLOS ONE. Read more...
  • Feelings from the heart: Developing HRV decrease-trigger algorithms via multilevel hyperplane simulation to detect psychosocially meaningful episodes in everyday life.
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  • Nature contact and psychological well-being in adults.
    S.P. Perrins (2021). Read more...
  • Effect of Workstation Type on the Relationship Between Fatigue, Physical Activity, Stress, and Sleep.
    R. Goel & A. Pham & H. Nguyen et al. (2021) in: JOEM (March 2021 - Volume 63 - Issue 3 - pe103-e110). Read more...
  • Heart rate variability change during a stressful cognitive task in individuals with anxiety and control participants.
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  • The CARP Mobile Sensing Framework - A Cross-platform, Reactive, Programming Framework and Runtime Environment for Digital Phenotyping.
    J.-E. Bardram (2020). Read more...
  • From ear to eye? No effect of transcutaneous vagus nerve stimulation on human pupil dilation: A report of three studies.
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  • Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life.
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  • Teachers’ ambulatory heart rate variability as an outcome and moderating variable in the job demands-resources model.
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  • I know how you feel - Predicting emotions from sensors for assisted pedelec experiences in smart cities.
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  • Assessing New Methods to Optimally Detect Episodes of Non-metabolic Heart Rate Variability Reduction as an Indicator of Psychological Stress in Everyday Life: A Thorough Evaluation of Six Methods.
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  • 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.
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  • Comparing Objective and Subjective Methods to Support Reflective Learning: an Experiment on the Influence on Affective Aspects.
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  • Emotions and Emotion Regulation in Economic Decision Making.
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  • Komfortgewinn für Passagiere auf Langstreckenflügen durch den Einsatz chronobiologisch angepasster LED-Kabinenbeleuchtung.
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  • A Biofeedback Game for Training Arousal Regulation during a Stressful Task: The Space Investor.
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  • Measuring emotional arousal for online applications: Evaluation of ultra-short term heart rate variability measures.
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  • Enhancing mobile working memory training by using affective feedback.
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  • Design and Evaluation of Affective Serious Games for Emotion Regulation Training.
    Petar Jercic (2013).
  • 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.
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  • 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...
  • Estimation of energy expenditure using accelerometers and activity-based energy models - validation of a new device.
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  • User Study: Motivation and User Acceptance of Using Physiological Data to Support Individual Reflection.
    A. Fessl & V. Rivera-Pelayo & L. 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...
  • 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...
  • 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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