Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{175029,
        author = {Aravinth S M and Prabhu D and Gokulnath S N and JayaSurya V},
        title = {Smart Glove To Monitor And Suppress Parkinson Disease},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1634-1641},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175029},
        abstract = {Parkinson's disease is a progressive, long-term condition that affects patients for many years, necessitating continuous management. In this study, we introduce an innovative smart glove designed to predict, monitor, and assist in the treatment of Parkinson's Disease. This intelligent system effectively tracks the severity and frequency of tremors experienced by patients, utilizing embedded accelerometers to capture and analyze movement data, thereby estimating the primary motor symptoms associated with Parkinson's disease. The smart glove utilizes machine learning algorithms, including XGBoost and SVM, to process the collected data and accurately estimate the severity of the motor symptoms. The data-driven insights generated by these algorithms are used to inform and adjust the patient’s treatment plan, ensuring that therapeutic interventions, such as medication, are optimized daily. In addition to monitoring capabilities, the glove incorporates a tremor suppression mechanism powered by Transcutaneous Electrical Nerve Stimulation (TENS). This system delivers low-frequency electrical impulses to targeted muscle groups in the hand, helping to reduce involuntary movements and stabilize muscle activity. By stimulating nerves and improving neuromuscular control, the TENS-based suppression method provides non-invasive, drug-free relief for tremors, allowing for improved motor function in daily activities. By integrating both monitoring and suppression functions into a single wearable device, the smart glove reduces the necessity for frequent clinical visits, offering a more comfortable and continuous management solution for Parkinson's patients.},
        keywords = {Parkinson Disease, Smart Glove, Tremor Suppression Mechanism, Machine Learning Algorithms, ADXL345 Accelerometer.},
        month = {April},
        }