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Respiration-based human-machine interface for aphasic patients with limited physical mobility.

Authors :
Tang, Kun
Chen, Xiangdong
Ding, Xing
Yu, Xiang
Liu, Fang
Lu, Jiaqi
Source :
Chemical Engineering Journal. May2024, Vol. 487, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

[Display omitted] • An ultra-fast humidity sensor based on C 60 -OH/PDDA/SiO 2 composite is proposed. • A human-machine interface based on an ultra-fast humidity sensor is presented for assisting aphasia patients with semantic expressions. • This interface is particularly suitable for aphasic patients with limited physical mobility. Communication between aphasic patients and health care professionals (HCPs) is often difficult, which is even more complex for aphasic patients with limited physical mobility. In this study, we have proposed a C 60 -OH/PDDA/SiO 2 -based humidity sensor with an extremely short response/recovery time (13 ms/30 ms). This is closely related to the electrostatic adsorption of PDDA which effectively alleviates the aggregation of C 60 -OH and the introduction of SiO 2 microspheres which increases the diffusion space of water molecules. The fast response and recovery rates gave the sensor good respiratory monitoring capability, which can be used to develop a human–machine interface (HMI) to assist aphasic patients for semantic expression. In this HMI, aphasia patients can generate different respiratory signals through the ultrafast humidity sensors to express specific semantics (such as thirst, hunger, etc.). In contrast to traditional semantic expression devices, this interface does not require the user to have vocal or physical movement, and therefore is extremely friendly to aphasic patients with limited mobility. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13858947
Volume :
487
Database :
Academic Search Index
Journal :
Chemical Engineering Journal
Publication Type :
Academic Journal
Accession number :
176759796
Full Text :
https://doi.org/10.1016/j.cej.2024.150507