Researchers at Indian Institute of Technology Patna have developed an AI-based wearable device designed to detect early signs of Dementia in elderly individuals. The system aims to identify cognitive decline at an early stage, when symptoms often remain unnoticed.
The research team is led by Rahul Mishra from the Department of Computer Science and Engineering. Other team members include Ashutosh Kumar Sinha, Akash Sinha, and Prakhar Shukla. The I-DAPT Hub Foundation at Banaras Hindu University supported the project.
Wearable Helmet Uses AI and EEG Technology
Explaining the research findings, Mishra said the device uses a 19-channel EEG-based wearable helmet to monitor brain activity.
“It is equipped with smart sensors, TinyML technology, and real-time artificial intelligence to analyse neurological signals. Unlike conventional diagnostic methods such as MRI or PET scans, this system does not depend on expensive equipment or hospital-based setups,” he said.
As a result, the device offers a more affordable and accessible solution for early dementia screening.
TinyML Technology Reduces Cost and Energy Use
Mishra further explained that one of the system’s key features is its ability to process data directly on low-power hardware. Consequently, the technology reduces dependence on cloud-based systems while also lowering operational costs and energy consumption.
In addition, the TinyML framework minimises memory usage and accelerates data processing, making the system suitable for continuous real-time monitoring.
Technology Could Improve Dementia Screening in Remote Areas
As reported by TOI, the researchers developed the system to make dementia screening more accessible, particularly in regions with limited medical infrastructure.
Experts believe that wearable technologies such as this could play a significant role in enabling early diagnosis and timely treatment of neurological disorders.
Team Also Develops Gait Analysis System
Meanwhile, the research team is also working on another AI-based system that analyses walking patterns to detect early signs of dementia.
The new system will study gait, balance, stride length, and movement stability, all of which often change during the early stages of neurological disorders.
By monitoring these physical indicators, the researchers hope to improve early detection and intervention strategies further.
Successful Trials Conducted; AIIMS Patna Trials Planned
Mishra stated that the team has already conducted experimental trials of the wearable system successfully.
Furthermore, the researchers plan to carry out additional trials at All India Institute of Medical Sciences Patna in collaboration with medical experts.
The upcoming trials are expected to further validate the technology’s effectiveness and support its future clinical application.