Movesense Academic Program
Movesense Academic Program equips scientists and researchers with sensor hardware and tools for efficiently measuring and collecting motion and physiology data. The aim of the program is to grow Movesense awareness in the academic world and to support promising research projects with tools and solutions for efficient data collecting. The program is initiated together with our development partner Kaasa solution GmbH from Germany.
Key guidelines
- Researchers and teams apply for the program. Movesense selects and invites projects based on applications.
- Movesense supplies the selected research teams with up to 20 Movesense sensors and associated accessories such as heart rate straps. The exact amount of supplied equipment depends on the project scope.
- Kaasa solution GmbH makes its Data Collector mobile application available to the research projects.
- Movesense team and Kaasa will support the project participants with technical questions.
- Researchers agree to mention Movesense in scientific articles and other publications related to the project and refer to www.movesense.com as a source for more information on Movesense when possible.
- Research projects agree to provide the Movesense team with material related to the research project that can be used in news articles on www.movesense.com and shared in Movesense social media.
- Researchers allow Movesense to list their project as part of Movesense Academic Program in Movesense communication.
Selection criteria
- Innovativeness and usefulness of the research project
- Potential of commercial applications of the project results
- Utility value of Movesense sensors for completing the project
- Potential of the project to build awareness for Movesense
- Additional non-published criteria of Movesense and Kaasa solution teams
Disclaimer
Movesense team has the right to select applications at its own consideration and is not obliged to explain why a project was selected or not selected to the program.
How to apply
Interested researchers send an application to the Movesense team via an online form. The application includes a short description of the project, project timeline, and a description of how the Movesense sensors would be used.
Application period starts on November 1st, 2019 and is open until further notice. Movesense team reviews the applications on weekly basis and invites up to three projects per quarter to the program. First projects will be selected during Q4 2019 if qualified candidates exist.
Movesense team and Kaasa solution warmly welcome academic teams, researchers and students to apply for the Movesense Academic Program!
Movesense Academic Program Poster (pdf 142kB). Feel free to share the poster in your network!
Movesense Academic Program Poster in German / auf Deutsch:
Further information
Read more about Movesense Technology
Movesense Benefits for Scientific Research
Contact: info@movesense.com
Participating Projects
Projects invited in Q1, 2022 (read more)
Motion Analysis in Biomechanics and Motor Behaviour
Polytechnic Institute of Santarém – Sport Sciences School of Rio Maior, Santarém, Portugal
Monitoring the physical activity of perioperative patients
Universitätsklinikum Würzburg, Anästhesiologie, Würzburg, Germany
A Home-Based Exercise Program for Older Adults Supported by Voice-controlled Intelligent Personal Assistants and Movesense Sensors
Deakin University, Melbourne, Australia
Projects invited in Q4, 2021 (read more)
Wearable sensor technology to monitor training load, prevent injury and improve health in high-performance athletes
Technion- Israel Institute of Technology, Israel
Behavior and Sports analysis on Mixed Methods
INEFC (Institut Nacional d’Educació Física de Catalunya), Unversity of Lleida, Spain
Projects invited in Q2, 2021 (read more)
Perturbation of the unstable shoulder
Flawless Motion, Auckland, New Zealand
Remote, real-time arrhythmia monitoring and screening
National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
Projects invited in Q1, 2021 (read more)
Fetal Heart Rate and Neonatal Monitoring
Universal Diagnostics Pvt. Ltd, Rawalpindi, Pakistan
Perceptual-Cognitive Expertise in Soccer: Analyzing Visual Search Behavior
Faculty of Sport Science, Institute of Movement and Training Science I, University of Leipzig, Germany
Fractal Correlation Properties of Heart Rate Variability: Exploration and Implementation of a New Biomarker for Intensity Distribution in Endurance Exercise and Training Prescription
MSH Medical School, Hamburg, Germany
Projects invited in Q3, 2020 (read more)
Running Related Injury
EPSI Platform, Université de Franche-Comté, France
Locomotor Coupling in Running
University of Salzburg, Digital Motion, Austria
Embodied Telepresent Human Connection
Simon Fraser University – iSpace Lab, Surrey, Canada
Projects invited in Q1, 2020 (read more)
Training Load with Elite Gymnasts
French Federation of Gymnastics & Université de Franche-Comté, France
Training Load Monitoring in Youth Soccer – a Pilot Study
University of Calgary, Sport Injury Prevention Research Center, Canada
Ergonomics – risk assessment of hand intensive repetitive work
KTH Royal Institute of Technology, Division of Ergonomics, Sweden
Development of Orthopaedic Wearable Technology for Equine Athletics to Optimize Performance and to Minimise Injury
Colorado State University, College of Veterinary Medicine and Biomedical Sciences, USA
Projects invited in Q4, 2019 (read more)
Collection and interpretation of markers of equine disease and fitness in large groups of horses
W2ND Inc. and University of Pennsylvania New Bolton Center, USA
Wheelchair mobility performance monitor
The Hague University of Applied Sciences / Delft University of Technology, Netherlands
The Digital Wheelchair: Individual empowerment for a more active society
NTNU Trondheim (Norwegian University of Science and Technology)
Sleep health monitoring
Neurobit Technologies, Singapore
Chronic pain patient tracking by psychotherapists
Institute of Medical Psychology, University of Marburg, Germany
Research Articles with Movesense
Google Scholar search for Movesense: 129 articles with Movesense since 2017 (as of March 17, 2022)
Examples of articles:
The Movesense Medical Sensor Chest Belt Device as Single Channel ECG for RR Interval Detection and HRV Analysis during Resting State and Incremental Exercise: A Cross-Sectional Validation Study
Bruce Rogers, Marcelle Schaffarczyk, Martina Clauß, Laurent Mourot, Thomas Gronwald
Link: https://www.mdpi.com/1424-8220/22/5/2032/htm
Commercially-available heart rate monitor repurposed into a 9-gram standalone device for automatic arrhythmia detection with snapshot electrocardiographic capability: a pilot validation
Chiara Martini, Bernardo Di Maria, Claudio Reverberi, Domenico Tuttolomondo, Nicola Gaibazzi
Link: https://www.mdpi.com/2075-4418/12/3/712/htm
Comparison of Heart Rate Monitoring Accuracy between Chest Strap and Vest during Physical Training and Implications on Training Decisions
Jakub Parak, Mikko Salonen, Tero Myllymäki, Ilkka Korhonen
Link: https://www.mdpi.com/1424-8220/21/24/8411/htm
Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study
Onni E Santala, Jari Halonen, Susanna Martikainen, Helena Jäntti, Tuomas T Rissanen, Mika P Tarvainen, Tomi P Laitinen, Tiina M Laitinen, Eemu-Samuli Väliaho, Juha E K Hartikainen, Tero J Martikainen, Jukka A Lipponen
Link: https://mhealth.jmir.org/2021/10/e29933
Instantaneous Heart Rate based sleep staging using deep learning models as a convenient alternative to Polysomnography
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Link: ERJ Open Research 2021; 7: Suppl. 7, 63
An openly available wearable, a diaper cover, monitors infant’s respiration and position during rest and sleep
Jukka Ranta, Elina Ilén, Kirsi Palmu, Jonna Salama, Oleksii Roienko, Sampsa Vanhatalo
Link: https://onlinelibrary.wiley.com/doi/10.1111/apa.15996
Fractal Correlation Properties of Heart Rate Variability: A New Biomarker for Intensity Distribution in Endurance Exercise and Training Prescription?
Thomas Gronwald, Bruce Rogers and Olaf Hoos
Link: https://www.frontiersin.org/articles/10.3389/fphys.2020.550572/full
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo
Link: https://www.nature.com/articles/s41598-019-56862-5
Climbing Activity Recognition and Measurement with Sensor Data Analysis
Iustina Ivanova, Marina Andric, Andrea Janes, Francesco Ricci, Floriano Zini
International Conference on Multimodal Interaction (ICMI ’20 Companion). Association for Computing Machinery, New York, NY, USA, 245–249.
Link: DOI:https://doi.org/10.1145/3395035.3425303
Monitoring Newborn and Infant Sleep Respiration and Heart Rate with a Wearable Sensor
Natalia Acosta Leinonen, Master’s thesis, University of Helsinki, Faculty of Biological and Environmental Sciences
Link: https://helda.helsinki.fi/handle/10138/302598
Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation
Hartikainen S, Lipponen JA, Hiltunen P, Rissanen TT, Kolk I, Tarvainen MP, Martikainen TJ, Castren M, Väliaho ES, Jäntti H.
Am J Cardiol. 2019 May 15;123(10):1643-1648. doi: 10.1016/j.amjcard.2019.02.028. Epub 2019 Feb 23.
Link: https://www.ncbi.nlm.nih.gov/pubmed/30878151
Identification of Motor Symptoms Related to Parkinson Disease Using Motion-Tracking Sensors at Home (KÄVELI): Protocol for an Observational Case-Control Study
Jauhiainen M, Puustinen J, Mehrang S, Ruokolainen J, Holm A, Vehkaoja A, Nieminen H
Link: JMIR Res Protoc 2019;8(3):e12808
Mobile Fall Risk Assessment Solution for Daily-Life Settings
H. Similä, M. Immonen and T. Niemirepo
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 1530-1533
