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A Study on IoT-Enabled Smart Bed With Brain-Computer Interface for Elderly and Paralyzed Individuals
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Author(s): Sharique Iqubal (School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India), Sadaf Khan (School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India), Niharika Pant (School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India), Sneha Sarkar (School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India), Tapasya Rey (School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India)and Hitesh Mohapatra (School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India)
Copyright: 2025
Pages: 28
Source title:
Future Innovations in the Convergence of AI and Internet of Things in Medicine
Source Author(s)/Editor(s): Velliangiri Sarveshwaran (National Chung Cheng University, Taiwan), Karthikeyan Periyaswami (National Chung Cheng University, Taiwan)and Keping Yu (University of Hosei, Japan)
DOI: 10.4018/979-8-3693-7703-1.ch004
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Abstract
This research tackles a major gap in healthcare for patients with severe disabilities, especially those unable to communicate or move, such as those with paralysis. Current solutions provide minimal support and lack natural, non-verbal communication. This study introduces a smart IoT-based bed that uses advanced sensors to translate neural signals into meaningful insights. By integrating brain-computer interface (BCI) technology, the bed captures brain signals with EEG sensors, effectively translating patients' needs and emotions like discomfort or hunger. This innovation enhances communication, reducing reliance on verbal or physical cues, improving response accuracy by 40%, and increasing caregiver efficiency by 35% over conventional methods. This study highlights IoT's potential in setting a new standard for patient-centered care.
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