Implementation Paper on Transforming Care for Paralysis Patients through IOT Innovation

Abstract

The integration of Internet of Things (IoT) technology is revolutionizing care for paralysis patients, significantly enhancing their quality of life, autonomy, and independence. By harnessing the power of wearable sensors, smart home automation, Artificial Intelligence (AI)-powered predictive analytics, telemedicine platforms, and mobile apps, this innovative approach provides real-time monitoring of vital signs, movement patterns, and environmental factors. The IoT-based system enables personalized therapy plans, tailored rehabilitation programs, and timely interventions, empowering patients to take control of their condition. Moreover, AI-driven predictive analytics identify potential complications, allowing for proactive measures to prevent hospitalizations and reduce healthcare costs. Telemedicine platforms facilitate seamless communication between patients, caregivers, and healthcare professionals, ensuring continuous support and guidance. Additionally, mobile apps provide patients with accessible resources, educational materials, and community support networks. Preliminary results demonstrate remarkable improvements in patient outcomes, including enhanced mobility, reduced complications, and increased autonomy. Caregivers also benefit from reduced burden, improved quality of life, and enhanced support. With its potential to transform the lives of millions affected by paralysis worldwide, this groundbreaking IoT-based care model is poised to redefine the future of neurological rehabilitation.

Country : India

1 P.B. Bhopale2 Y.S. Badave3 R.S. Gat4 G.R. Hukkeri5 G.K. Sutar

  1. Professor, Electronics and Telecommunication Engineering, DKTE’s Yashwantrao Chavan Polytechnic, Ichalkaranji, Maharashtra, India
  2. Student, Electronics and Telecommunication Engineering, DKTE’s Yashwantrao Chavan Polytechnic, Ichalkaranji, Maharashtra, India
  3. Student, Electronics and Telecommunication Engineering, DKTE’s Yashwantrao Chavan Polytechnic, Ichalkaranji, Maharashtra, India
  4. Student, Electronics and Telecommunication Engineering, DKTE’s Yashwantrao Chavan Polytechnic, Ichalkaranji, Maharashtra, India
  5. Student, Electronics and Telecommunication Engineering, DKTE’s Yashwantrao Chavan Polytechnic, Ichalkaranji, Maharashtra, India

IRJIET, Volume 9, Issue 3, March 2025 pp. 144-147

doi.org/10.47001/IRJIET/2025.903017

References

  1. https://store-usa.arduino.cc/products/arduino-mega-2560-rev3.
  2. https://chat.openai.com/c/75404a30-56ec-4b28-bb05-9d601df959c3.
  3. Dr. S.P.S. Saini and Diksha Goyal.
  4. Chin-Ming Fu, Chung-Lin Huang, and Feng-sheng Chen.
  5. Anooda Geethu Mohan, M.S. Sajana, Smitha Paulose, M.P. Fathima, and K.A. Anupama.