Developing AI-Powered Prosthetics for Enhanced Mobility and Real-Time Neural Control in Patients

Geetha Bhavani A Bhavani A, RenukaJyothi. S, Naresh Kaushik, Surjya Prakash S, Karan Pandre, Deepak Minhas and Preetjot Singh

Seminars in Medical Writing and Education, 2024, vol. 3, 520

Abstract: The creation of mechanical devices driven by artificial intelligence (AI) is a huge step forward in rehabilitative medicine. These devices will make it easier for people who have lost limbs to move around and give them real-time brain control. This study paper looks into how AI technologies can be used in artificial limbs to make the user experience smooth and natural. Machine learning techniques are at the heart of our method because they read neural data straight from the user's nervous system. This lets the device react in real time to the user's free muscle movements. The study is mostly about making brain connections that pick up electrophysiological signals. These signals are then handled by advanced AI models to figure out what movements are meant to happen. After that, the artificial arms make these moves with a level of accuracy and response that is very close to how real limbs work. We also talk about the creation of feedback loops that let people get sense information from the device, which improves their ability to feel touch and body space. Our method uses a diverse approach that combines robots, neuroscience, and biotech. AI is the key that connects these fields into a system that works well together. Preliminary tests have shown that speed and accuracy of artificial control have gotten a lot better, making it much easier on users' bodies and minds. Also, patient feedback shows that the device is more comfortable and easy to use, which suggests that it has a higher chance of being adopted. This study not only pushes the limits of medical engineering, but it also shows promise for helping amputees regain their freedom and quality of life.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:medicw:v:3:y:2024:i::p:520:id:520

DOI: 10.56294/mw2024520

Access Statistics for this article

More articles in Seminars in Medical Writing and Education from AG Editor (Argentina)
Bibliographic data for series maintained by Javier Gonzalez-Argote ().