脑-机接口
物联网
接口(物质)
计算机科学
物理医学与康复
人机交互
医学
心理学
嵌入式系统
神经科学
操作系统
脑电图
最大气泡压力法
气泡
作者
Sharique Iqubal,Sadaf Khan,Niharika Pant,Sneha Sarkar,Tapasya Rey,Hitesh Mohapatra
出处
期刊:Advances in medical technologies and clinical practice book series
日期:2025-01-31
卷期号:: 61-88
被引量:2
标识
DOI:10.4018/979-8-3693-7703-1.ch004
摘要
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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