DMEA 2028 Berlin

Visit us at DMEA

Come and check out our digital platforms! We're thrilled to be at DMEA this year for the 2nd time. We can't wait to present our innovative digital platforms - InteractionDesigner and TherapyDesigner - and show you various ways you can develop digital prevention, diagnosis and therapy services and implement them in practice.
Take the opportunity to talk to us in person and find out more about the benefits of our solutions. If you would like to, you can even book an appointment with us in advance so that we can take the time to respond to your individual questions and requirements.

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The 5 Most Common Mistakes When Measuring HRV

And how you can avoid them!

Heart Rate Variability (HRV) is a crucial metric for understanding the physiological stress and the autonomic nervous system (ANS) responses, particularly the parasympathetic system. For researchers, getting HRV measurements right is vital to ensure high-quality and reliable data. However, several common mistakes compromise the accuracy of HRV analysis. Let’s look at these common pitfalls and how to avoid them!

1. Using Consumer Devices
It’s tempting to opt for consumer-grade devices, especially when working with tight budgets. But these devices often don’t meet the standards required for accurate HRV measurement inresearch. They’re typically designed for everyday users rather than professionals, and they don’t provide access to raw data—making it difficult to ensure data accuracy.

How to Avoid This Mistake: Stick with reputable, research-grade brands that specialize in providing raw data and meet the standards for scientific research. If you can’t access raw data or need to log into a portal to view results, you're likely dealing with a consumer-grade device. These devices aren’t suitable for high-quality, publishable research.



EcgMove 4 worn
2. Using PPG in Ambulatory Measurements
Photoplethysmography (PPG) sensors can be useful for short-term, stationary measurements in a controlled environment. However, when it comes to real-world, ambulatory measurements, PPG can be prone to inaccuracies. It struggles to provide precise beat detection, which is essential for accurate HRV calculations. Movement artefacts and noise are common in real-world conditions.

How to Avoid This Mistake: For more accurate HRV data, use an Electrocardiogram (ECG), which has a clear reference point (the R peak in the ECG signal) for detecting heartbeats. This method is far more reliable, especially in dynamic settings where a participant might be moving. Even research-grade PPG devices can struggle with accuracy in real-life situations, so ECG is generally a safer choice.

3. Using Devices That Only Record IBI or Have a Low Sampling Frequency
Not all ECG devices are equal! Some only record Inter-Beat Intervals (IBI), meaning you won’t have access to the raw signal data to check for artefacts. Additionally, devices that sample at low frequencies (under 1000Hz) compromise the accuracy and precision of HRV measurements.

How to Avoid This Mistake: Ensure that the ECG device you’re using has a sampling frequency over 1000Hz and captures more than just IBIs. This way, you’ll have access to high-resolution data that allows you to view artefacts and ensure the integrity of your HRV measurements. Low-quality data can lead to skewed results, which undermines the value of your research.

4. Not Having Access to Raw Data
Raw data is essential for ensuring accurate HRV measurements. Without it, you cannot identify artefacts, noise, or anomalies in your data that could distort your findings. Without access to the raw ECG signal, you’re flying blind when it comes to interpreting HRV.

How to Avoid This Mistake: Always ensure that your measurement devices provide access to raw data. If the device doesn’t allow you to view or download the raw signals, it’s not suitable for use in research. This step is crucial for identifying issues in the data that could impact the overall analysis and interpretation.

5. Using ECG in Isolation
Even with a high-quality ECG that records raw data at a high sampling rate, using it in isolation can lead to incomplete interpretations. HRV data, by itself, doesn’t provide the full context of what’s happening with the participant. Understanding how environmental or physical factors (such as movement, temperature, or barometric pressure) influence the data is essential for an accurate analysis.

How to Avoid This Mistake: Incorporate additional signals like accelerometer, gyrometric, barometric, and temperature data alongside the ECG. These contextual data points help researchers understand the circumstances under which the HRV measurements occurred, giving more insight into how the participant's body responded to different situations. Context is crucial for accurate interpretation of HRV results.

Click here to read more about the best ways to capture accurate HRV data

BipoCare – research project

Data driven decision-making and support system for the early detection of phase changes in bipolar disorder (BipoCare)

The aim of the project is to close the largest gap in care for bipolar disorders with a data-based decision-making and support system.
As the coordinator of BipoCare and thanks to the specially developed TherapyDesigner platform, movisens is an indispensable partner in this research project. The TherapyDesigner platform is the technological and regulatory basis of BipoCare. It not only enables the creation and evaluation of studies and interventions, but also the necessary documentation for transferring the study into a medical device compliant therapy system i.e. into a digital health application.

BipoCare



bipolar_heads

Best student project 2024

We're so excited to announce that the best student project of 2024 has finally been chosen!

We congratulate Dennis Köstler and Philipp Thull from the Ruhr University of Bochum for winning the student project of the year award 2024 for their Masterthesis: "The Effects of Ashwagandha Supplementation in Combination with Strength Training on StrengthDevelopment and Recovery Capacity in Strength- Trained Women and Men".
Their study investigated the effects of ashwagandha supplementation - the root extract of an Indian plant - in combination with regular strength training. They examined both strength values and values for regeneration (stress/sleep).
The movisens EcgMove 4 recorded the participant's ECG and physical activity, allowing the researchers to assess stress (through heart rate variability) and also assess the quality of sleep.
They win a "Interactive Ambulatory Assessment Starter Set" from movisens! With an activity sensor Move 4 including accessories, the analysis software DataAnalyzer and a movisensXS Basic Bundle, they're now equipped for their next research project.

Apply now for the student project award 2025




Happy sampling with HTML styling in movisensXS!

HTML in questions

We’re thrilled to announce a powerful enhancement to movisensXS: you can now use HTML tags to format and style your question texts.

With this feature, you can elevate the design and readability of your surveys or experience sampling studies.
This makes your questionnaire cleaner, more engaging, and easier to understand.

Ready to give it a try? Dive in and create surveys that are as dynamic as your research!

more about the HTML feature



html in movisensXS questions

15 years movisens

2024 a very special year!

This year, on the 9th December, we're celebrating a special event: the 15th anniversary of movisens! This milestone is a moment of pride and gratitude that we would not have achieved without your long-standing support.

We pride ourselves on building a business characterised by cooperation and trust, and these qualities in close collaboration with you made our joint success possible. The loyalty and the trust you have placed in us as well as the commitment and loyalty of our team, are the cornerstone of our 15 years of success and growth, allowing us to continue to innovate and bring you the best solutions for your work.

We would like to thank you all from the bottom of our hearts! We look forward to tackling new challenges together in the future and continuing to work together successfully.

About us




Fell.Well-Training project

Improving well-being via a digital app

The Feel.Well-Training project researches a mobile training program designed to improve emotional well-being.
Developed by ZI Mannheim in co-operation with movisens, the digital health app utilises movisens InteractionDesigner as the core of the design.
The research aims to evaluate the effectiveness of the app’s content and exercises, strengthen emotional resilience, and support users in managing their emotions and thoughts more effectively in daily life.




InteractionDesigner on Handy

Successful research with movisens as your partner

movisens is your reliable partner in scientific research

With our expertise in wearables and data collection solutions, we have been supporting projects for many years that have the potential to make the world a better place.
Long-standing partnership with KIT
Our success and the trust we have earned are reflected in our long-standing and successful collaboration with the Karlsruhe Institute of Technology (KIT). Together, we have realized numerous research projects and developed innovative solutions that push the boundaries of science.
What sets us apart?
Trust, curiosity, and open communication are our keys to a successful partnership. We emphasize transparent and respectful exchanges, creating space for new ideas and tackling great challenges together. Let’s continue to explore new scientific paths and take a step forward together. We look forward to supporting your upcoming research projects and developing innovative solutions for your challenges.

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Our services

Do you already know all our services?

movisens provides a range of services to solve the most common problems researcher's face today.
Providing advice and consultation at the conception phase, including the ability to customise our product range and also trainings and in-house seminars. As the only company to provide both research grade sensors and experience sampling with the ability to create interactive study designs, we understand that with a range of solutions so vast, sometimes you might need help with implementation. That's why we're on hand to help you build and design your study (or simply check what you've done to make sure it does what you want!) and support its implementation. We don't stop there though, once you've launched your study, we're still available to help you with a range of options (including extended warranties and our SensorCare+ package) that keep your study going no matter what unforeseen issues occur. Once you've gathered all the data you need, we can also help with the processing and analysis.
If you'd like help in any area of your study, please contact us to see how we can solve your problem.

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Skin Temperature Monitoring

New - Integrated IR sensor

Add skin temperature readings to the wide range of high quality signals captured by the Move 4 and EcgMove 4.

The IR sensor allows researchers to:

  • analyse individual circadian phases in the daily routine
  • monitor the increase of skin temperature fluctuation in sleep research
  • as a trigger for subjective data acquisition(questionnaires using Interactive Ambulatory Assessment)
  • Recommendations for skin temperatur monitoring



    IR Move 4