Movisens
Movisens GmbH specializes in innovative solutions for ambulatory assessment and mobile monitoring, providing tools and platforms for high-quality data collection in real-life settings. Their mission is to enable researchers and clinicians to gather objective and subjective data efficiently, supporting advancements in health research, prevention, and intervention. With a focus on physiological sensors, experience sampling, digital health applications, and advanced features like sensor trigger technology, movisens aims to improve understanding of biopsychosocial processes and promote health and well-being.
Industries
Nr. of Employees
small (1-50)
Movisens
Augartenstraße 1, 76137 Karlsruhe, Germany
Products
Wearable IMU activity sensor (configurable sampling, onboard memory)
Battery-powered wearable IMU capturing raw tri-axial accelerometer and gyroscope data with configurable sampling rates (customizable to 256 Hz), ~4 GB onboard memory, developer API and waterproofing for ambulatory activity and gait research.
Multispectral light and activity sensor
Wearable device combining multi-channel ambient-light sensing with acceleration, temperature and barometric pressure for long-duration recording to support circadian, sleep and light-exposure research.
Research-grade ambulatory ECG wearable
Wearable ECG device providing high-resolution ECG recording, raw-signal export for artifact correction and validated R-peak detection suitable for ambulatory HRV, stress and sleep research.
Experience-sampling and study management platform
Platform for designing, deploying and managing EMA/experience-sampling studies including survey authoring, configurable sampling, sensor-trigger logic and analysis dashboards.
Analysis and visualization software
Software tools for processing sensor and EMA data, automated batch workflows, activity and energy-expenditure estimation and exportable analysis reports and dashboards.
Chat-style interaction and intervention authoring app
Framework for creating conversational interventions and interaction-led experience-sampling studies with branching logic, gamification and supervisor/participant dashboards.
Wearable IMU activity sensor (configurable sampling, onboard memory)
Battery-powered wearable IMU capturing raw tri-axial accelerometer and gyroscope data with configurable sampling rates (customizable to 256 Hz), ~4 GB onboard memory, developer API and waterproofing for ambulatory activity and gait research.
Multispectral light and activity sensor
Wearable device combining multi-channel ambient-light sensing with acceleration, temperature and barometric pressure for long-duration recording to support circadian, sleep and light-exposure research.
Research-grade ambulatory ECG wearable
Wearable ECG device providing high-resolution ECG recording, raw-signal export for artifact correction and validated R-peak detection suitable for ambulatory HRV, stress and sleep research.
Experience-sampling and study management platform
Platform for designing, deploying and managing EMA/experience-sampling studies including survey authoring, configurable sampling, sensor-trigger logic and analysis dashboards.
Analysis and visualization software
Software tools for processing sensor and EMA data, automated batch workflows, activity and energy-expenditure estimation and exportable analysis reports and dashboards.
Chat-style interaction and intervention authoring app
Framework for creating conversational interventions and interaction-led experience-sampling studies with branching logic, gamification and supervisor/participant dashboards.
Services
Consulting on ambulatory study design, protocol and questionnaire review, in-house training and methodological support for EMA and sensor-based research.
Post-collection processing and analysis of sensor and EMA data, including automated batch workflows, activity classification, energy-expenditure estimation and dashboard reporting.
Customization of hardware and software, integration of additional sensors (e.g., respiration, IR temperature), firmware updates and sensor configuration for study-specific measurement needs.
Assistance preparing documentation and evaluations necessary to transition study interventions into regulated medical-device-compliant therapy systems and to support regulatory conformity workflows.
Consulting on ambulatory study design, protocol and questionnaire review, in-house training and methodological support for EMA and sensor-based research.
Post-collection processing and analysis of sensor and EMA data, including automated batch workflows, activity classification, energy-expenditure estimation and dashboard reporting.
Customization of hardware and software, integration of additional sensors (e.g., respiration, IR temperature), firmware updates and sensor configuration for study-specific measurement needs.
Assistance preparing documentation and evaluations necessary to transition study interventions into regulated medical-device-compliant therapy systems and to support regulatory conformity workflows.
Expertise Areas
- Ambulatory assessment and experience sampling
- Wearable physiological monitoring and actigraphy
- Heart rate variability (HRV) and ambulatory ECG methodology
- Multimodal sensor data fusion and contextual analytics
Key Technologies
- High-sampling electrocardiography (ECG)
- Inertial measurement units (IMU) — tri-axial accelerometer and gyroscope
- Electrodermal activity (EDA) sensing
- Multispectral ambient-light sensors (RGB/IR/clear)
News & Updates
Conference in Salzburg, Austria, focusing on health psychology.
Event in Münster, Germany, on sports science and sustainability.
Conference in Kassel, Germany, on differential psychology and diagnostics.
Study on peer interactions and social environment in classrooms.
Systematic review and BrainSTEADy trial introduction.
Comparison of automated and manual processing methods.
Conference in Salzburg, Austria, focusing on health psychology.
Event in Münster, Germany, on sports science and sustainability.
Conference in Kassel, Germany, on differential psychology and diagnostics.
Study on peer interactions and social environment in classrooms.
Systematic review and BrainSTEADy trial introduction.
Comparison of automated and manual processing methods.