Pain alleviating and movement assistive device for bone fractured patients

• Published in: I-Manager's Journal on Future Engineering and Technology Vol. 19; no. 4; p. 7
• Main Authors: Sathyaraj, S., Dinesh, Kumar R., Dhanush, K., Abdul, Kalam D., Deepak, K.
• Format: Journal Article
• Language: English
• Published: Nagercoil iManager Publications 01.09.2024
• Subjects: Algorithms; Applications programs; Cloud computing; Customization; Data storage; Fractures; Health care; Human motion; Machine learning; Mobile computing; Motion perception; Pain; Pain management; Patients; Real time; Recovery; Rehabilitation; Remote monitoring; Target detection; Tracking; Vibrators
• ISSN: 0973-2632; 2230-7184
• DOI: 10.26634/jfet.19.4.20831

This healthcare initiative leverages advanced technology to enhance bone fracture recovery through the implementation of a specialized cuff and a companion mobile application. The application integrates an interactive 3D human model, allowing patients to pinpoint areas of discomfort during ambulation exercises. Upon detecting movement, the cuff activates nerve vibrators to alleviate pain, thereby facilitating a more comfortable rehabilitation process. This innovative approach targets specific anatomical areas to improve patient outcomes and revolutionize bone fracture rehabilitation. Real-time data tracking within the application enables healthcare professionals to remotely monitor patient progress and make informed adjustments to treatment protocols. The specialized cuff features adjustable settings, providing personalized support tailored to individual rehabilitation requirements. The mobile application includes guided exercise tutorials, real-time feedback, and comprehensive progress analytics, promoting patient engagement and adherence to prescribed rehabilitation regimens. Advanced machine learning algorithms are employed to adapt the system to patients' evolving needs, ensuring optimal pain management throughout the recovery period. The ergonomically designed cuff, discreet for everyday wear, enhances patient compliance. Secure cloud storage of patient data addresses privacy concerns and establishes a robust framework for the adoption of this innovative solution in clinical practice. This technology-driven initiative offers a novel approach to bone fracture rehabilitation by combining personalized patient care, real-time monitoring, and adaptive pain management, significantly improving recovery outcomes and setting new standards in healthcare.