Abstract
Arthritis is one of the common rheumatoid or musculoskeletal disorders, and it is a significant contributor to the world’s disability burden. It mainly affects knee joints, and the prevalence of disease increases with age. In several cases, people with arthritis suffer from the loss of mobility and hardening of joints. Common factors that result in decreased mobility include aging, obesity, poor physical activity, and an improper diet. To improve limited motion, a smart wearable monitoring device can be used to assist a person to maintain regular physical activity and to boost their mobility status. Our proposed idea is to develop a wearable goniometer with a mobile application to determine the active and passive range of motion, such as flexion and extension in the knee for senior citizens. This device can help the physiotherapists to virtually guide and supervise the patients in their rehabilitation phase.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Verhoeven, F., Tordi, N., Prati, C., Demougeot, C., Mougin, F., Wendling, D.: Physical activity in patients with rheumatoid arthritis. Joint Bone Spine 83(3) [Pubmed] (2016)
Heidari, B.: Rheumatoid Arthritis: Early diagnosis and treatment outcomes. Caspian J. Intern. Med. 2(1), 161–70 [Pubmed] (2011)
AI- Rubaye, A.F., Kadhim, M.J., Hameed, I.H.: Rheumatoid arthritis: history, stages, epidemiology, pathogenesis, diagnosis and treatment. Int. J. Toxicol. Pharmacol. Res. 9(2) [ncbi] [Google Scholar] (2017)
Yoshimoto, H., Date, N., Yonemoto, S.: Vision-based real-time motion capture systems using multiple cameras. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 247–251 [Google Scholar] (2003)
Donno, M., Palange, E., Di Nicola, F., Bucci, G., Ciancetta, F.: A new flexible optical fiber goniometer for dynamic angular measurements: application to human joint movement monitoring. IEEE Trans. Instrum. Meas. 57(8) (2008)
Ruiz Olaya, A.F., Callejas Cuervo, M., Lara Herrera, C.N.: Wearable low-cost inertial sensor based electrogoniometer for measuring joint range of motion. Dyna 84(201), 180–185 [Google Scholar] (2017)
Nwaizu, H., Saatchi, R., Burke, D.: Accelerometer based human joints range of movement measurement. In: 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE (2016)
Djuric Jovicic, M.D., Jovicic, N.S., Popovic, D.B.: Kinematics of gait: new method for angle estimation based on accelerometers. Sensors 11(11), 10571–10585 [ncbi] (2011)
Ilius Faisal, A., Majumder, S., Mondal, T., Cowan, D., Naseh, S., Jamel Deen, M.: Monitoring methods of human body joints: state-of-the-art and research challenges. Sensors 2019 [Pubmed] (2019)
A. Device: Small, low power, 3- axis ± 3 g accelerometer. ADXL335 Datasheet (2009)
Bonato, P.: Advances in wearable technology and applications in physical medicine and rehabilitation. J. NeuroEng. Rehab. [Google Scholar] (2005)
Zhou, H., Hu, H.: Human motion tracking for rehabilitation—A survey. Biomed. Signal Process. Control. 3, 1–8 [Google Scholar] (2008)
Dong, W., Ming Chen, I., Lim, K.Y., Goh, Y.K.: Measuring uniaxial joint angles with a minimal accelerometer configuration. In: Proceedings in 1st International Convention on Rehabilitation Engineering & Assistive Technology: In Conjunction with 1st Tan Tock Seng Hospital Neurorehabilitation Meeting, pp. 88–91 (2007)
Atallah, L., Lo, B., King, R., Yang, G.Z.: Sensor placement for activity detection using wearable accelerometers. In: 2010 International Conference on Body Sensor Networks. İEEE (2010)
Liu, K., Liu, T., Shibata, K., Inoue, Y., Zheng, R.: Novel approach to ambulatory assessment of human segmental orientation on a wearable sensor system. J. Biomech. 42, 2747–2752 [Pubmed] (2009)
Tognetti, A., Lorussi, F., Carbonaro, N., Danilo de Rossi, D.: Wearable goniometer and accelerometer sensory fusion for knee joint angle measurement in daily life. Sensors, 28435–28455 [Pubmed] (2015)
Acknowledgements
This work was performed in the Department of Biomedical Engineering at Sri Ramakrishna Engineering College, Coimbatore, India. The authors would like to express unfathomable thanks to the principal, Dr. N. R. Alamelu for the encouragement throughout the completion of the project. We would also like to express our deepest gratitude to the project coordinator Ms. V. Sri Vidhya Sakthi and project guide Ms. A. Siva Sakthi for their inspiring guidance. In addition, we would like to thank and acknowledge the contributions rendered by Dr. Seetharam and Dr. B. Bala Subramanian.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Siva Sakthi, A., Mithra, B., Rakshana, M., Niveda, S., Gayathri, K. (2022). Design of Wearable Goniometer. In: Raj, J.S., Palanisamy, R., Perikos, I., Shi, Y. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-16-2422-3_46
Download citation
DOI: https://doi.org/10.1007/978-981-16-2422-3_46
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2421-6
Online ISBN: 978-981-16-2422-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)