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The design and evaluation of a wearable-based system for targeted tremor assessment in Parkinson's disease

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Published:05 August 2022Publication History

ABSTRACT

Wearable sensors are worn by subjects to allow for continuous physiological monitoring. The use of wearable sensors for the quantification of movement within research communities has increased in recent years, with the purpose of objectively assessing and diagnosing the progression of Parkinson's Disease (PD). Most studies taking this approach for PD have stated that there is a need for a long-term solution, due to individuals having varying symptoms at different stages of the disease. Furthermore, a preference for home-based care has increased in recent times due to COVID-19, with clinical care being highly effected due to cancellations, delayed appointments, or a reduction of time spent with patients. The necessity for a system for patients with Parkinson's is extremely significant. There is no clinically available long-term assessment for tremors, and how these systems can be used to assess and aid in a clinical environment is still underdeveloped. The proposed system which includes wireless sensors, and results based off the clinical scale used currently for tremor assessment, may allow for constant, real-time, and accurate monitoring of a subject with tremors. This will provide more detailed medical data to enable long-term assessment, diagnosis, as well as person-centered physical therapy.

References

  1. Stefania Ancona, Francesca D. Faraci, Elina Khatab, Luigi Fiorillo, Oriella Gnarra, Tobias Nef, Claudio L. A. Bassetti, and Panagiotis Bargiotas. 2022. Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature. J Neurol 269, 1 (January 2022), 100--110. Google ScholarGoogle ScholarCross RefCross Ref
  2. Lazzaro di Biase, Susanna Summa, Jacopo Tosi, Fabrizio Taffoni, Massimo Marano, Angelo Cascio Rizzo, Fabrizio Vecchio, Domenico Formica, Vincenzo Di Lazzaro, Giovanni Di Pino, and Mario Tombini. 2018. Quantitative Analysis of Bradykinesia and Rigidity in Parkinson's Disease. Frontiers in Neurology 9, (2018). Retrieved February 17, 2022 from https://www.frontiersin.org/article/10.3389/fneur.2018.00121Google ScholarGoogle Scholar
  3. Angela Botros, Narayan Schütz, Martin Camenzind, Prabitha Urwyler, Daniel Bolliger, Tim Vanbellingen, Rolf Kistler, Stephan Bohlhalter, Rene M. Müri, Urs P. Mosimann, and Tobias Nef. 2019. Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson's Disease---Acceptance and Adherence. Sensors 19, 23 (January 2019), 5169. Google ScholarGoogle ScholarCross RefCross Ref
  4. Carlotta Caramia, Diego Torricelli, Maurizio Schmid, Adriana Muñoz-Gonzalez, Jose Gonzalez-Vargas, Francisco Grandas, and Jose L. Pons. 2018. IMU-Based Classification of Parkinson's Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection. IEEE Journal of Biomedical and Health Informatics 22, 6 (November 2018), 1765--1774. Google ScholarGoogle ScholarCross RefCross Ref
  5. C. Duval, H. P. Nguyen, K. Lebel, S. Bogard, E. Goubault, and P. Boissy. 2018. Detection, segmentation, and assessment of daily living activities using inertial sensor in people with Parkinson's disease during a cleaning task. Parkinsonism & Related Disorders 46, (January 2018), e83--e84. Google ScholarGoogle ScholarCross RefCross Ref
  6. Georg Ebersbach, Horst Baas, Ilona Csoti, Martina Müngersdorf, and Günther Deuschl. 2006. Scales in Parkinson's disease. J Neurol 253, 4 (September 2006), iv32--iv35. Google ScholarGoogle ScholarCross RefCross Ref
  7. Ali Elbeddini, Anthony To, Yasamin Tayefehchamani, and Cindy Wen. 2020. Potential impact and challenges associated with Parkinson's disease patient care amidst the COVID-19 global pandemic. Journal of Clinical Movement Disorders 7, 1 (August 2020), 7. Google ScholarGoogle ScholarCross RefCross Ref
  8. Ya-Shuo Feng, Si-Dong Yang, Zi-Xuan Tan, Man-Man Wang, Ying Xing, Fang Dong, and Feng Zhang. 2020. The benefits and mechanisms of exercise training for Parkinson's disease. Life Sciences 245, (March 2020), 117345. Google ScholarGoogle ScholarCross RefCross Ref
  9. Susan H. Fox, Regina Katzenschlager, Shen-Yang Lim, Brandon Barton, Rob M. A. de Bie, Klaus Seppi, Miguel Coelho, and Cristina Sampaio. 2018. International Parkinson and movement disorder society evidence-based medicine review: Update on treatments for the motor symptoms of Parkinson's disease. Movement Disorders 33, 8 (August 2018), 1248--1266.Google ScholarGoogle ScholarCross RefCross Ref
  10. Christopher G. Goetz, Stanley Fahn, Pablo Martinez-Martin, Werner Poewe, Cristina Sampaio, Glenn T. Stebbins, Matthew B. Stern, Barbara C. Tilley, Richard Dodel, Bruno Dubois, Robert Holloway, Joseph Jankovic, Jaime Kulisevsky, Anthony E. Lang, Andrew Lees, Sue Leurgans, Peter A. LeWitt, David Nyenhuis, C. Warren Olanow, Olivier Rascol, Anette Schrag, Jeanne A. Teresi, Jacobus J. Van Hilten, and Nancy LaPelle. 2007. Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Process, format, and clinimetric testing plan. Mov Disord. 22, 1 (January 2007), 41--47. Google ScholarGoogle ScholarCross RefCross Ref
  11. Gopichand Gottipati, Alienor C. Berges, Shuying Yang, Chao Chen, Mats O. Karlsson, and Elodie L. Plan. 2019. Item Response Model Adaptation for Analyzing Data from Different Versions of Parkinson's Disease Rating Scales. Pharmaceutical Research 36, 9 (July 2019), 135. Google ScholarGoogle ScholarCross RefCross Ref
  12. Margot Heijmans, Jeroen Habets, Mark Kuijf, Pieter Kubben, and Christian Herff. 2019. Evaluation of Parkinson's Disease at Home: Predicting Tremor from Wearable Sensors. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 584--587. Google ScholarGoogle ScholarCross RefCross Ref
  13. Dustin A. Heldman, Joseph Jankovic, David E. Vaillancourt, Janey Prodoehl, Rodger J. Elble, and Joseph P. Giuffrida. 2011. Essential Tremor Quantification During Activities of Daily Living. Parkinsonism Relat Disord 17, 7 (August 2011), 537--542. Google ScholarGoogle ScholarCross RefCross Ref
  14. Lauren E. Heusinkveld, Mallory L. Hacker, Maxim Turchan, Thomas L. Davis, and David Charles. 2018. Impact of Tremor on Patients With Early Stage Parkinson's Disease. Frontiers in Neurology 9, (2018). Retrieved February 13, 2022 from https://www.frontiersin.org/article/10.3389/fneur.2018.00628Google ScholarGoogle Scholar
  15. Ruben D. Hidalgo-Agudo, David Lucena-Anton, Carlos Luque-Moreno, Alberto Marcos Heredia-Rizo, and Jose A. Moral-Munoz. 2020. Additional Physical Interventions to Conventional Physical Therapy in Parkinson's Disease: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Journal of Clinical Medicine 9, 4 (April 2020), 1038. Google ScholarGoogle ScholarCross RefCross Ref
  16. Nahed Jalloul. 2018. Wearable sensors for the monitoring of movement disorders. Biomedical Journal 41, 4 (August 2018), 249--253. Google ScholarGoogle ScholarCross RefCross Ref
  17. Xiaohu Jin, Lin Wang, Shijie Liu, Lin Zhu, Paul Dinneen Loprinzi, and Xin Fan. 2020. The Impact of Mind-Body Exercises on Motor Function, Depressive Symptoms, and Quality of Life in Parkinson's Disease: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 17, 1 (January 2020), 31. Google ScholarGoogle ScholarCross RefCross Ref
  18. Urs Kleinholdermann, Max Wullstein, and David Pedrosa. 2021. Prediction of motor Unified Parkinson's Disease Rating Scale scores in patients with Parkinson's disease using surface electromyography. Clinical Neurophysiology 132, 7 (July 2021), 1708--1713. Google ScholarGoogle ScholarCross RefCross Ref
  19. R. Nisticò, D. Pirritano, M. Salsone, F. Novellino, F. Del Giudice, M. Morelli, M. Trotta, G. Bilotti, F. Condino, A. Cherubini, P. Valentino, and A. Quattrone. 2011. Synchronous pattern distinguishes resting tremor associated with essential tremor from rest tremor of Parkinson's disease. Parkinsonism & Related Disorders 17, 1 (January 2011), 30--33. Google ScholarGoogle ScholarCross RefCross Ref
  20. Alessandro Oliveira de Carvalho, Alberto Souza Sá Filho, Eric Murillo-Rodriguez, Nuno Barbosa Rocha, Mauro Giovanni Carta, and Sergio Machado. 2018. Physical Exercise For Parkinson's Disease: Clinical And Experimental Evidence. Clin Pract Epidemiol Ment Health 14, (March 2018), 89--98. Google ScholarGoogle ScholarCross RefCross Ref
  21. Dong-Jun Park, Jun-Woo Lee, Myung-Jun Lee, Se-Jin Ahn, and Weui-Bong Jeong. 2019. Wearable IMU Sensor for Monitoring Hand Motion Disorder in Parkinson's Patients (Poster). In 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 497--497. Google ScholarGoogle ScholarCross RefCross Ref
  22. Paola Pierleoni, Lorenzo Palma, Alberto Belli, and Luca Pernini. 2014. A realtime system to aid clinical classification and quantification of tremor in Parkinson's disease. In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 113--116. Google ScholarGoogle ScholarCross RefCross Ref
  23. Saara M. Rissanen, Markku Kankaanpää, Mika P. Tarvainen, Alexander Yu Meigal, Juho Nuutinen, Ina M. Tarkka, Olavi Airaksinen, and Pasi A. Karjalainen. 2009. Analysis of dynamic voluntary muscle contractions in Parkinson's disease. IEEE Trans Biomed Eng 56, 9 (September 2009), 2280--2288. Google ScholarGoogle ScholarCross RefCross Ref
  24. Giovanni Rizzo, Massimiliano Copetti, Simona Arcuti, Davide Martino, Andrea Fontana, and Giancarlo Logroscino. 2016. Accuracy of clinical diagnosis of Parkinson disease: A systematic review and meta-analysis. Neurology 86, 6 (February 2016), 566--576. Google ScholarGoogle ScholarCross RefCross Ref
  25. Erika Rovini, Carlo Maremmani, and Filippo Cavallo. 2017. How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review. Frontiers in Neuroscience 11, (2017). Retrieved February 23, 2022 from https://www.frontiersin.org/article/10.3389/fnins.2017.00555Google ScholarGoogle ScholarCross RefCross Ref
  26. Angana Saikia, Vinayak Majhi, Masaraf Hussain, Sudip Paul, and Amitava Datta. 2019. Tremor Identification Using Machine Learning in Parkinson's Disease. Early Detection of Neurological Disorders Using Machine Learning Systems, 128--151. Google ScholarGoogle ScholarCross RefCross Ref
  27. Han Gil Seo, Sang Jun Park, Jiah Seo, Seong Jun Byun, and Byung-Mo Oh. 2018. Rehabilitation Therapy Utilization in Patients with Parkinson's Disease in Korea. Parkinson's Disease 2018, (November 2018), 9475415. Google ScholarGoogle ScholarCross RefCross Ref
  28. Nicholas Shawen, Megan K. O'Brien, Sanjeev Venkatesan, Luca Lonini, Tanya Simuni, Jamie L. Hamilton, Roozbeh Ghaffari, John A. Rogers, and Arun Jayaraman. 2020. Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors. J NeuroEngineering Rehabil 17, 1 (April 2020), 52. Google ScholarGoogle ScholarCross RefCross Ref
  29. Matej Skorvanek, Pablo Martinez-Martin, Norbert Kovacs, Ivan Zezula, Mayela Rodriguez-Violante, Jean-Christophe Corvol, Pille Taba, Klaus Seppi, Oleg Levin, Anette Schrag, Iciar Aviles-Olmos, Mario Alvarez-Sanchez, Tomoko Arakaki, Zsuzsanna Aschermann, Eve Benchetrit, Charline Benoit, Alberto Bergareche-Yarza, Amin Cervantes-Arriaga, Anabel Chade, Florence Cormier, Veronika Datieva, David A. Gallagher, Nelida Garretto, Zuzana Gdovinova, Oscar Gershanik, Milan Grofik, Vladimir Han, Liis Kadastik-Eerme, Monica M. Kurtis, Graziella Mangone, Juan Carlos Martinez-Castrillo, Amelia Mendoza-Rodriguez, Michal Minar, Henry P. Moore, Mari Muldmaa, Christoph Mueller, Bernadette Pinter, Werner Poewe, Karin Rallmann, Eva Reiter, Carmen Rodriguez-Blazquez, Carlos Singer, Peter Valkovic, Christopher G. Goetz, and Glenn T. Stebbins. 2018. Relationship between the MDS-UPDRS and Quality of Life: A large multicenter study of 3206 patients. Parkinsonism & Related Disorders 52, (July 2018), 83--89. Google ScholarGoogle ScholarCross RefCross Ref
  30. Olga S. Sushkova, Alexei A. Morozov, Alexandra V. Gabova, and Alexei V. Karabanov. 2018. Investigation of Surface EMG and Acceleration Signals of Limbs' Tremor in Parkinson's Disease Patients Using the Method of Electrical Activity Analysis Based on Wave Trains. In Advances in Artificial Intelligence - IBERAMIA 2018 (Lecture Notes in Computer Science), Springer International Publishing, Cham, 253--264. Google ScholarGoogle ScholarCross RefCross Ref
  31. Ole-Bjørn Tysnes and Anette Storstein. 2017. Epidemiology of Parkinson's disease. J Neural Transm 124, 8 (August 2017), 901--905. Google ScholarGoogle ScholarCross RefCross Ref
  32. Basilio Vescio, Rita Nisticò, Antonio Augimeri, Andrea Quattrone, Marianna Crasà, and Aldo Quattrone. 2021. Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson's Disease and Essential Tremor. Diagnostics 11, 2 (February 2021), 200. Google ScholarGoogle ScholarCross RefCross Ref
  33. Xsens. MTw Awinda. Retrieved February 24, 2022 from https://www.xsens.com/products/mtw-awindaGoogle ScholarGoogle Scholar
  34. Y. Zhou, M. E. Jenkins, M. D. Naish, and A. L. Trejos. 2016. The measurement and analysis of Parkinsonian hand tremor. In 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 414--417. Google ScholarGoogle ScholarCross RefCross Ref
  35. Stages of Parkinson's | Parkinson's Foundation. Retrieved February 14, 2022 from https://www.parkinson.org/Understanding-Parkinsons/What-is-Parkinsons/Stages-of-ParkinsonsGoogle ScholarGoogle Scholar
  36. Consensys EMG Development Kits. Shimmer Wearable Sensor Technology. Retrieved February 24, 2022 from https://shimmersensing.com/product/consensys-emg-development-kits/Google ScholarGoogle Scholar

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        cover image ACM Conferences
        MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference
        June 2022
        432 pages
        ISBN:9781450392839
        DOI:10.1145/3524273

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        • Published: 5 August 2022

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