Mesin Luca, Cipriani Giuseppina Elena, Amanzio Martina
Mathematical Biology and Physiology, Department Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy.
Department of Psychology, Universitá di Torino, 10124 Turin, Italy.
Bioengineering (Basel). 2023 Mar 23;10(4):395. doi: 10.3390/bioengineering10040395.
The aging process is a multifaceted phenomenon that affects cognitive-affective and physical functioning as well as interactions with the environment. Although subjective cognitive decline may be part of normal aging, negative changes objectified as cognitive impairment are present in neurocognitive disorders and functional abilities are most impaired in patients with dementia. Electroencephalography-based brain-machine interfaces (BMI) are being used to assist older people in their daily activities and to improve their quality of life with neuro-rehabilitative applications. This paper provides an overview of BMI used to assist older adults. Both technical issues (detection of signals, extraction of features, classification) and application-related aspects with respect to the users' needs are considered.
衰老过程是一个多方面的现象，它会影响认知情感和身体功能以及与环境的相互作用。虽然主观认知衰退可能是正常衰老的一部分，但以认知障碍形式表现出来的负面变化存在于神经认知障碍中，并且在痴呆症患者中功能能力受损最为严重。基于脑电图的脑机接口（BMI）正被用于协助老年人进行日常活动，并通过神经康复应用提高他们的生活质量。本文概述了用于协助老年人的脑机接口。文中考虑了技术问题（信号检测、特征提取、分类）以及与用户需求相关的应用方面。
