Release Date: 2024-06-17

Wearable Technologies in Rehabilitation

Rustem Mustafaoglu (Author)

Release Date: 2024-06-17

The development of sensors that can be discreetly worn on the body or become part of clothing items has opened up numerous possibilities for monitoring patients in the field over long periods of time. Wearable technology addresses an important issue in the treatment of patients undergoing rehabilitation. Wearable technology allows clinicians to collect data from [...]

Media Type
    Buy from

    Price may vary by retailers

    Work TypeBook Chapter
    Published inComplementary Medicine with New Approaches
    First Page231
    Last Page250
    DOIhttps://doi.org/10.69860/nobel.9786053359418.17
    Page Count20
    Copyright HolderNobel Tıp Kitabevleri
    Licensehttps://nobelpub.com/publish-with-us/copyright-and-licensing

    The development of sensors that can be discreetly worn on the body or become part of clothing items has opened up numerous possibilities for monitoring patients in the field over long periods of time. Wearable technology addresses an important issue in the treatment of patients undergoing rehabilitation. Wearable technology allows clinicians to collect data from anywhere so they can respond to these issues. Through wearable systems, direct observations can be made regarding the impact of clinical interventions on mobility, independence level and quality of life. This section explains the place and advantages of wearable technologies in different rehabilitation fields. The usage areas of wearable technology are rapidly developing and many clinical studies are being conducted. The potential impact of these technologies on the clinical practice of rehabilitation is increasing day by day. Although the main focus of clinical evaluation techniques is on methods applied in the clinical setting, wearable technology has the potential to direct this focus beyond field clinical settings.

    Rustem Mustafaoglu (Author)
    Assistant Professor, Istanbul Cerrahpasa University
    https://orcid.org/0000-0001-7030-0787
    3Assoc. Professor Rüstem Mustafaoğlu is a scientist who has a professional career of more than fifteen years and has made original contributions to the field of physiotherapy and rehabilitation. Mustafaoğlu graduated from Dokuz Eylül University, School of Physical Therapy and Rehabilitation in 2009, completing his undergraduate education. He started his master’s degree in 2009 at Dokuz Eylül University Institute of Health Sciences Neurological Physiotherapy and Rehabilitation program and completed it in 2011. He worked as a physiotherapist for a total of 5 years in different Special Education and Rehabilitation centers and Istanbul Physical Therapy and Rehabilitation Training and Research Hospital. In 2013, he started his doctoral studies in the Physiotherapy and Rehabilitation program of Istanbul University Institute of Health Sciences, Department of Cardiology. In 2017, he completed his doctoral education with his doctoral thesis titled "Effects of core stabilization exercises on pulmonary function, respiratory muscle strength, and functional capacity in adolescents with substance use disorder".Mustafaoğlu, who started working as a research assistant at Istanbul University, Faculty of Health Sciences, Physiotherapy and Rehabilitation Department in 2014, is currently working at Istanbul University-Cerrahpaşa Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation. He carries out scientific studies and projects on substance addiction, technology addiction and game addiction, especially in the fields of neurological physiotherapy, cardiopulmonary physiotherapy and general physiotherapy. Mustafaoğlu is a member of the Turkish Physiotherapists Association, Turkish Respiratory Research Association, Turkish Thoracic Association and European Respiratory Society.

    • Acar, G., Ozturk, O., Golparvar, A. J., Elboshra, T. A., Böhringer, K., & Yapici, M. K. (2019). Wearable and flexible textile electrodes for biopotential signal monitoring: A re- view. Electronics, 8(5), 479.

    • Adão Martins, N. R., Annaheim, S., Spengler, C. M., & Rossi, R. M. (2021). Fatigue monitoring through wearables: a state-of-the-art review. Frontiers in physiology, 12, 790292.

    • Adesida, Y., Papi, E., & McGregor, A. H. (2019). Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review. Sensors, 19(7), 1597.

    • Aliverti, A. (2017). Wearable technology: role in respiratory health and disease. Breathe, 13(2), e27-e36.

    • Aroganam, G., Manivannan, N., & Harrison, D. (2019). Review on wearable technology sensors used in consumer sport applications. Sensors, 19(9), 1983.

    • Beg, M. S., Gupta, A., Stewart, T., & Rethorst, C. D. (2017). Promise of wearable physical activity monitors in oncology practice. Journal of oncology practice, 13(2), 82-89.

    • Bergamini, E., Ligorio, G., Summa, A., Vannozzi, G., Cappozzo, A., & Sabatini, A. M. (2014). Estimating orientation using magnetic and inertial sensors and different sensor fusion approaches: Accuracy assessment in manual and locomotion tasks. Sensors, 14(10), 18625-18649.

    • Bethel, S. J., Joslin, C. T., Shepherd, B. S., Martel, J. M., & Dow, D. E. (2015). Wearable at-home recording system for sleep apnea. Paper presented at the 2015 17th International Conference on E-health Networking, Application & Services (HealthCom).

    • Bonato, P. (2005). Advances in wearable technology and applications in physical medicine and rehabilitation (Vol. 2, pp. 1-4): Springer.

    • Boroojerdi, B., Ghaffari, R., Mahadevan, N., Markowitz, M., Melton, K., Morey, B.,... Sen-Gupta, E. (2019). Clinical feasibility of a wearable, conformable sensor patch to mon- itor motor symptoms in Parkinson’s disease. Parkinsonism & related disorders, 61, 70-76.

    • Bouma, H. (2012). Foundations and goals of gerontechnology. Gerontechnology, 11(1), 1-4.

    • Camomilla, V., Bergamini, E., Fantozzi, S., & Vannozzi, G. (2018). Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review. Sensors, 18(3), 873.

    • Curran, S. A., & Frossard, L. (2012). Biomechanical analyses of the performance of Paralympians: From foundation to elite level. Prosthetics and orthotics international, 36(3), 380-395.

    • de-la-Fuente-Robles, Y.-M., Ricoy-Cano, A.-J., Albín-Rodríguez, A.-P., López-Ruiz, J. L., & Espinilla-Estévez, M. (2022). Past, present and future of research on wearable technolo- gies for healthcare: a bibliometric analysis using Scopus. Sensors, 22(22), 8599.

    • Fozard, J. L. (2005). Impacts of technology interventions on health and self-esteem. Gerontechnology.

    • Godfrey, A., Hetherington, V., Shum, H., Bonato, P., Lovell, N., & Stuart, S. (2018). From A to Z: Wearable technology explained. Maturitas, 113, 40-47.

    • Gupta, A., Stewart, T., Bhulani, N., Dong, Y., Rahimi, Z., Crane, K.,... Beg, M. S. (2018). Feasibility of wearable physical activity monitors in patients with cancer. JCO clinical can- cer informatics, 2, 1-10.

    • Huhn, S., Axt, M., Gunga, H.-C., Maggioni, M. A., Munga, S., Obor, D.,... Sauerborn, R. (2022). The impact of wearable technologies in health research: scoping review. JMIR mHealth and uHealth, 10(1), e34384.

    • Iosa, M., Picerno, P., Paolucci, S., & Morone, G. (2016). Wearable inertial sensors for human movement analysis. Expert review of medical devices, 13(7), 641-659.

    • Jubran, A. (1999). Pulse oximetry. Critical care, 3, 1-7.

    • Kamišalić, A., Fister Jr, I., Turkanović, M., & Karakatič, S. (2018). Sensors and functionalities of non-invasive wrist-wearable devices: A review. Sensors, 18(6), 1714.

    • Kim, G. J., Parnandi, A., Eva, S., & Schambra, H. (2022). The use of wearable sensors to assess and treat the upper extremity after stroke: a scoping review. Disability and rehabil- itation, 44(20), 6119-6138.

    • Kim, H., Kelly, S., Lafortune, L., & Brayne, C. (2021). A scoping review of the conceptual differentiation of technology for healthy aging. The Gerontologist, 61(7), e345-e369.

    • Laird, P., & Waters, L. (2008). Eyewitness recollection of sport coaches. International Journal of Performance Analysis in Sport, 8(1), 76-84.

    • Langhorne, P., Sandercock, P., & Prasad, K. (2009). Evidence-based practice for stroke. The Lancet Neurology, 8(4), 308-309.

    • Lee, M., & Park, S. (2020). Estimation of three-dimensional lower limb kinetics data during walking using machine learning from a single IMU attached to the sacrum. Sen- sors, 20(21), 6277.

    • Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. (2016). Wearable performance devices in sports medicine. Sports health, 8(1), 74-78.

    • Lonini, L., Dai, A., Shawen, N., Simuni, T., Poon, C., Shimanovich, L.,... Jayaraman, A. (2018). Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models. NPJ digital medicine, 1(1), 64.

    • Lopez-Nava, I. H., & Munoz-Melendez, A. (2016). Wearable inertial sensors for human motion analysis: A review. IEEE sensors journal, 16(22), 7821-7834.

    • Lu, L., Zhang, J., Xie, Y., Gao, F., Xu, S., Wu, X., & Ye, Z. (2020). Wearable health devices in health care: narrative systematic review. JMIR mHealth and uHealth, 8(11), e18907.

    • Lynn, S. K., Watkins, C. M., Wong, M. A., Balfany, K., & Feeney, D. F. (2018). Validity and reliability of surface electromyography measurements from a wearable athlete perfor- mance system. Journal of sports science & medicine, 17(2), 205.

    • Maceira-Elvira, P., Popa, T., Schmid, A.-C., & Hummel, F. C. (2019). Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment. Journal of neuroengineering and rehabilitation, 16, 1-18.

    • Moghadam, S. M., Yeung, T., & Choisne, J. (2023). A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors. Scientific reports, 13(1), 5046.

    • Morgulev, E., Azar, O. H., & Lidor, R. (2018). Sports analytics and the big-data era. International Journal of Data Science and Analytics, 5, 213-222.

    • Mughal, H., Javed, A. R., Rizwan, M., Almadhor, A. S., & Kryvinska, N. (2022). Parkinson’s disease management via wearable sensors: a systematic review. IEEE Access, 10, 35219-35237.

    • Mukhopadhyay, S. C. (2014). Wearable sensors for human activity monitoring: A review. IEEE sensors journal, 15(3), 1321-1330.

    • Ometov, A., Shubina, V., Klus, L., Skibińska, J., Saafi, S., Pascacio, P.,... Chukhno, O. (2021). A survey on wearable technology: History, state-of-the-art and current challenges. Computer Networks, 193, 108074.

    • Page, T. (2015). A forecast of the adoption of wearable technology. International Journal of Technology Diffusion (IJTD), 6(2), 12-29.

    • Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012). A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabili- tation, 9, 1-17.

    • Pavic, M., Klaas, V., Theile, G., Kraft, J., Tröster, G., Blum, D., & Guckenberger, M. (2020). Mobile health technologies for continuous monitoring of cancer patients in palliative care aiming to predict health status deterioration: a feasibility study. Journal of palliative med- icine, 23(5), 678-685.

    • Picerno, P., Iosa, M., D’Souza, C., Benedetti, M. G., Paolucci, S., & Morone, G. (2021). Wearable inertial sensors for human movement analysis: A five-year update. Expert re- view of medical devices, 18(sup1), 79-94.

    • Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L.,... Rogers, J. A. (2019). Bio-integrated wearable systems: a comprehensive review. Chemical reviews, 119(8), 5461-5533.

    • Rehorst-Kleinlugtenbelt, L., Bekkering, W., van der Torre, P., van der Net, J., & Takken, T. (2019). Physical activity level objectively measured by accelerometery in children under- going cancer treatment at home and in a hospital setting: A pilot study. Pediatric Hema- tology Oncology Journal, 4(4), 82-88.

    • Rovini, E., Maremmani, C., & Cavallo, F. (2017). How wearable sensors can support Par- kinson’s disease diagnosis and treatment: a systematic review. Frontiers in neuroscience, 11, 288959.

    • Scanaill, C. N., Carew, S., Barralon, P., Noury, N., Lyons, D., & Lyons, G. M. (2006). A re- view of approaches to mobility telemonitoring of the elderly in their living environment. Annals of biomedical engineering, 34, 547-563.

    • Seneviratne, S., Hu, Y., Nguyen, T., Lan, G., Khalifa, S., Thilakarathna, K.,... Seneviratne, A. (2017). A survey of wearable devices and challenges. IEEE Communications Surveys & Tutorials, 19(4), 2573-2620.

    • Seshadri, D. R., Li, R. T., Voos, J. E., Rowbottom, J. R., Alfes, C. M., Zorman, C. A., & Drummond, C. K. (2019). Wearable sensors for monitoring the physiological and bio- chemical profile of the athlete. NPJ digital medicine, 2(1), 72.

    • Smolianov, P., Schoen, C., Norberg, J., Dion, S., Smith, J., & Calpino, K. (2018). Innovative technology for high performance and mass participation sport. The Use of Technology in Sport-Emerging Challenges, 5.

    • Stein, M., Janetzko, H., Seebacher, D., Jäger, A., Nagel, M., Hölsch, J.,... Grossniklaus, M. (2017). How to make sense of team sport data: From acquisition to data modeling and research aspects. Data, 2(1), 2.

    • Strath, S. J., & Rowley, T. W. (2018). Wearables for promoting physical activity. Clinical chemistry, 64(1), 53-63.

    • Taborri, J., Keogh, J., Kos, A., Santuz, A., Umek, A., Urbanczyk, C.,... Rossi, S. (2020). Sport biomechanics applications using inertial, force, and EMG sensors: A literature over- view. Applied bionics and biomechanics, 2020.

    • Tahir, A. M., Chowdhury, M. E., Khandakar, A., Al-Hamouz, S., Abdalla, M., Awadallah, S.,... Al-Emadi, N. (2020). A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis. Sensors, 20(4), 957.

    • Tanwar, R., Nandal, N., Zamani, M., & Manaf, A. A. (2022). Pathway of trends and technologies in fall detection: a systematic review. Paper presented at the Healthcare.

    • Toh, S. F. M., Fong, K. N., Gonzalez, P. C., & Tang, Y. M. (2023). Application of homebased wearable technologies in physical rehabilitation for stroke: A scoping review. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

    • Trung, T. Q., & Lee, N. E. (2016). Flexible and stretchable physical sensor integrated plat- forms for wearable human‐activity monitoringand personal healthcare. Advanced mate- rials, 28(22), 4338-4372.

    • Van Blarigan, E. L., Dhruva, A., Atreya, C. E., Kenfield, S. A., Chan, J. M., Milloy, A.,... Zhang, L. (2022). Feasibility and acceptability of a physical activity tracker and text mes- sages to promote physical activity during chemotherapy for colorectal cancer: pilot ran- domized controlled trial (Smart Pace II). JMIR cancer, 8(1), e31576.

    • Wang, L. F., Eaglehouse, Y. L., Poppenberg, J. T., Brufsky, J. W., Geramita, E. M., Zhai, S.,... van Londen, G. (2021). Effects of a personal trainer-led exercise intervention on physical activity, physical function, and quality of life of breast cancer survivors. Breast Cancer, 28, 737-745.

    • Wang, Q., Markopoulos, P., Yu, B., Chen, W., & Timmermans, A. (2017). Interactive wear- able systems for upper body rehabilitation: a systematic review. Journal of neuroengineer- ing and rehabilitation, 14, 1-21.

    • Williams, G. J., Al-Baraikan, A., Rademakers, F. E., Ciravegna, F., van de Vosse, F. N., Lawrie, A.,... Lawford, P. V. (2023). Wearable technology and the cardiovascular system: the future of patient assessment. The Lancet Digital Health, 5(7), e467-e476.

    • Willy, R. W. (2018). Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries. Physical Therapy in Sport, 29, 26-33.

    • Wong, C., Zhang, Z.-Q., Lo, B., & Yang, G.-Z. (2015). Wearable sensing for solid biomechanics: A review. IEEE Sensors Journal, 15(5), 2747-2760.

    • Yang, C., Yang, T., Wu, C., Hung, S., Liao, M., Su, M., & Hsieh, H. (2014). Textile-based

    • capacitive sensor for a wireless wearable breath monitoring system. Paper presented at the 2014 IEEE International Conference on Consumer Electronics (ICCE).

    onix_3.0::thothThoth ONIX 3.0
    onix_3.0::project_museProject MUSE ONIX 3.0
    onix_3.0::oapenOAPEN ONIX 3.0
    onix_3.0::jstorJSTOR ONIX 3.0
    onix_3.0::google_booksGoogle Books ONIX 3.0
    onix_3.0::overdriveOverDrive ONIX 3.0
    onix_2.1::ebsco_hostEBSCO Host ONIX 2.1
    csv::thothThoth CSV
    json::thothThoth JSON
    kbart::oclcOCLC KBART
    bibtex::thothThoth BibTeX
    doideposit::crossrefCrossRef DOI deposit
    onix_2.1::proquest_ebraryProQuest Ebrary ONIX 2.1
    marc21record::thothThoth MARC 21 Record
    marc21markup::thothThoth MARC 21 Markup
    marc21xml::thothThoth MARC 21 XML

    Share This Chapter!