Patna, May 11 (APAC Media): The Indian Institute of Technology (IIT) Patna has developed an artificial intelligence-based wearable device to detect early signs of dementia among elderly people.Â
The innovative system is designed to identify cognitive decline at an early stage, when symptoms often remain unnoticed, offering hope for timely diagnosis and treatment.
The research team is led by Rahul Mishra from the Department of Computer Science and Engineering. Other members of the team include Ashutosh Kumar Sinha, Akash Sinha, and Prakhar Shukla. The project has received support from the I-DAPT Hub Foundation.
According to Mishra, the system uses a 19-channel EEG-based wearable helmet equipped with smart sensors, TinyML technology, and real-time AI to analyse neurological signals. Unlike traditional diagnostic methods such as MRI or PET scans, the device does not rely on expensive hospital-based infrastructure, making it more affordable and accessible.
One of the key features of the technology is its ability to process data directly on low-power hardware, reducing dependence on cloud systems while lowering energy consumption and operational costs. Researchers said the TinyML framework also improves processing speed and enables continuous monitoring.
The team is also developing another AI-driven system to study walking patterns, balance, and movement stability for early dementia detection. Further clinical trials will soon be conducted at the All India Institute of Medical Sciences, Patna, in collaboration with medical experts.
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