skip to main content
10.1145/3529190.3534761acmotherconferencesArticle/Chapter ViewAbstractPublication PagespetraConference Proceedingsconference-collections
research-article

Monitoring of motor function in the rehabilitation room

Published: 11 July 2022 Publication History

Abstract

In the context of chronic diseases, it is difficult to maintain adherence and motivation in rehabilitation treatment. The inclusion of technological tools that help to obtain objective data that allow the patient to be monitored and provide feedback on the development of exercises is very useful to increase long-term adherence to treatment.
Devices such as depth sensors and smartbands, which collect information on movement angles and heart rate among other parameters, can be introduced into the rehabilitation room without being intrusive.
In the TeNDER project, a tool has been developed that allows the monitoring of activities performed during the execution of regular therapy and the analysis of these data to be presented as feedback via a mobile application to patients and caregivers/family members; and thanks to a web app as evolution data to health professionals.

References

[1]
Giovanni Abbruzzese, Roberta Marchese, Laura Avanzino, and Elisa Pelosin. 2016. Rehabilitation for Parkinson’s disease: Current outlook and future challenges. Parkinsonism & Related Disorders 22 Suppl 1 (-01 2016), 60.
[2]
Mohd Aliff, Mohamed Alif Dinie, Ismail Yusof, and NS Sani. 2019. Development of Smart Glove Rehabilitation Device (SGRD) for Parkinson’s Disease. International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, 2 (2019).
[3]
Amin Amini, Konstantinos Banitsas, and William R. Young. 2019. Kinect4FOG: monitoring and improving mobility in people with Parkinson’s using a novel system incorporating the Microsoft Kinect v2. Disability and Rehabilitation: Assistive Technology 14, 6(2019), 566–573. https://doi.org/10.1080/17483107.2018.1467975
[4]
Alberto Belmonte-Hernández, Thomas Theodoridis, Marta Burgos González, Gustavo Hernández-Peñaloza, Vassilios Solachidis, Jennifer Jiménez Ramos, Federico Álvarez, Nicholas Vretos, Laura Carrasco, and Petros Daras. 2019. A Novel Framework for Physical Therapy Rehabilitation Monitoring and Assessment in Parkinson Disease Patients Using Depth Information. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (Rhodes, Greece) (PETRA ’19). Association for Computing Machinery, New York, NY, USA, 535–539. https://doi.org/10.1145/3316782.3322759
[5]
Igor Bisio, Chiara Garibotto, Fabio Lavagetto, and Andrea Sciarrone. 2019. When eHealth Meets IoT: A Smart Wireless System for Post-Stroke Home Rehabilitation. IEEE Wireless Communications 26, 6 (2019), 24–29. https://doi.org/10.1109/MWC.001.1900125
[6]
Robert Brown. 2019. Exploring Speech Recognition And Synthesis APIs In Windows Vista. Technical Report. https://docs.microsoft.com/en-us/archive/msdn-magazine/2006/january/exploring-speech-recognition-and-synthesis-apis-in-windows-vista
[7]
Anargyros Chatzitofis, David Monaghan, Edmond Mitchell, Freddie Honohan, Dimitrios Zarpalas, Noel E. O’Connor, and Petros Daras. 2015. HeartHealth: A Cardiovascular Disease Home-based Rehabilitation System. Procedia Computer Science 63 (2015), 340–347. https://doi.org/10.1016/j.procs.2015.08.352
[8]
Anargyros Chatzitofis, Dimitris Zarpalas, and Petros Daras. 2018. A Computerized System for Real-Time Exercise Performance Monitoring and e-Coaching Using Motion Capture Data. In Precision Medicine Powered by pHealth and Connected Health, Nicos Maglaveras, Ioanna Chouvarda, and Paulo de Carvalho (Eds.). Springer Singapore, Singapore, 243–247.
[9]
Stefano Corazza, Lars Mündermann, Emiliano Gambaretto, Giancarlo Ferrigno, and Thomas Andriacchi. 2010. Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation. International Journal of Computer Vision 87 (03 2010), 156–169. https://doi.org/10.1007/s11263-009-0284-3
[10]
Augusto Garcia-Agundez, Ann-Kristin Folkerts, Robert Konrad, Polona Caserman, Thomas Tregel, Mareike Goosses, Stefan Göbel, and Elke Kalbe. 2019. Recent advances in rehabilitation for Parkinson’s Disease with Exergames: A Systematic Review. Journal of NeuroEngineering and Rehabilitation 16, 1 (29 January 2019), 17. https://doi.org/10.1186/s12984-019-0492-1
[11]
Muhammad Ahmed Khan, Bayram Metin Bayram, Rig Das, and Sadasivan Puthusserypady. 2021. Electromyography and Inertial Motion Sensors Based Wearable Data Acquisition System for Stroke Patients: A Pilot Study. Annu Int Conf IEEE Eng Med Biol Soc 2021 (November 2021), 6953–6956.
[12]
Mengxuan Ma, Rachel Proffitt, and Marjorie Skubic. 2018. Validation of a Kinect V2 based rehabilitation game. PLOS ONE 13, 8 (August 2018), 1–15. https://doi.org/10.1371/journal.pone.0202338
[13]
Niveditha Muthukrishnan, James J. Abbas, and Narayanan Krishnamurthi. 2020. A Wearable Sensor System to Measure Step-Based Gait Parameters for Parkinson’s Disease Rehabilitation. Sensors 20, 22 (2020). https://doi.org/10.3390/s20226417
[14]
Mohammad Reza Naeemabadi, Birthe Irene Dinesen, Ole Kæseler Andersen, Samira Najafi, and John Hansen. 2018. Evaluating accuracy and usability of Microsoft Kinect sensors and wearable sensor for tele knee rehabilitation after knee operation. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Biostec 2018; Biodevices 2018, 19-21 January 2018, Funchal, Madeira, Portugal, Sergi Bermudez i Badia, Alberto Cliquet, Alberto Cliquet, Hugo Gamboa, and Ana Fred (Eds.). Vol. 1. SCITEPRESS Digital Library, 128–135. https://doi.org/10.5220/0006578201280135
[15]
Avinash Parnandi, Eric Wade, and Maja Mataric. 2010. Motor function assessment using wearable inertial sensors. Annu Int Conf IEEE Eng Med Biol Soc 2010 (2010), 86–89.
[16]
Annette O. A. Plouvier, Tim C. Olde Hartman, Anne van Litsenburg, Bastiaan R. Bloem, Chris van Weel, and Antoine L. M. Lagro-Janssen. 2018. Being in control of Parkinson’s disease: A qualitative study of community-dwelling patients’ coping with changes in care. European Journal of General Practice 24, 1 (2018), 138–145. https://doi.org/10.1080/13814788.2018.1447561 arXiv:https://doi.org/10.1080/13814788.2018.1447561PMID: 29569501.
[17]
ICT4Life Project. [n.d.]. CORDIS ICT4Life - ICT services for Life Improvement For the Elderly. https://cordis.europa.eu/project/id/690090/es
[18]
TeNDER Project. 2022. H2020 TeNDER Project Website. https://www.tender-health.eu/
[19]
Ashwin Rajkumar, Fabio Vulpi, Satish Reddy Bethi, Hassam Khan Wazir, Preeti Raghavan, and Vikram Kapila. 2019. Wearable Inertial Sensors for Range of Motion Assessment. IEEE Sens J 20, 7 (December 2019), 3777–3787.
[20]
Pablo Cornejo Thumm, Nir Giladi, Jeffrey M. Hausdorff, and Anat Mirelman. 2021. Tele-Rehabilitation with Virtual Reality: A Case Report on the Simultaneous, Remote Training of Two Patients with Parkinson Disease. American Journal of Physical Medicine & Rehabilitation 100, 5(2021), 1–15. https://journals.lww.com/ajpmr/Fulltext/2021/05000/Tele_Rehabilitation_with_Virtual_Reality__A_Case.5.aspx
[21]
Peicheng Yang, Lei Xie, Chuyu Wang, and Sanglu Lu. 2019. IMU-Kinect: A Motion Sensor-Based Gait Monitoring System for Intelligent Healthcare. Association for Computing Machinery, New York, NY, USA, 350––353. https://doi.org/10.1145/3341162.3343766

Index Terms

  1. Monitoring of motor function in the rehabilitation room
          Index terms have been assigned to the content through auto-classification.

          Recommendations

          Comments

          Information & Contributors

          Information

          Published In

          cover image ACM Other conferences
          PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments
          June 2022
          704 pages
          ISBN:9781450396318
          DOI:10.1145/3529190
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          Published: 11 July 2022

          Permissions

          Request permissions for this article.

          Check for updates

          Author Tags

          1. Quality of Life and Skeleton tracking
          2. rehabilitation

          Qualifiers

          • Research-article
          • Research
          • Refereed limited

          Funding Sources

          Conference

          PETRA '22

          Contributors

          Other Metrics

          Bibliometrics & Citations

          Bibliometrics

          Article Metrics

          • 0
            Total Citations
          • 62
            Total Downloads
          • Downloads (Last 12 months)15
          • Downloads (Last 6 weeks)2
          Reflects downloads up to 01 Jan 2025

          Other Metrics

          Citations

          View Options

          Login options

          View options

          PDF

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader

          HTML Format

          View this article in HTML Format.

          HTML Format

          Media

          Figures

          Other

          Tables

          Share

          Share

          Share this Publication link

          Share on social media