Liu Tao, Mao Yuchen, Dou Hanjie, Zhang Wangyang, Yang Jiaqian, Wu Pengfan, Li Dongxiao, Mu Xiaojing
Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, China.
Adv Sci (Weinh). 2025 Feb;12(6):e2408653. doi: 10.1002/advs.202408653. Epub 2025 Jan 3.
Sound signals not only serve as the primary communication medium but also find application in fields such as medical diagnosis and fault detection. With public healthcare resources increasingly under pressure, and challenges faced by disabled individuals on a daily basis, solutions that facilitate low-cost private healthcare hold considerable promise. Acoustic methods have been widely studied because of their lower technical complexity compared to other medical solutions, as well as the high safety threshold of the human body to acoustic energy. Furthermore, with the recent development of artificial intelligence technology applied to speech recognition, speech recognition devices, and systems capable of assisting disabled individuals in interacting with scenes are constantly being updated. This review meticulously summarizes the sensing mechanisms, materials, structural design, and multidisciplinary applications of wearable acoustic devices applied to human health and human-computer interaction. Further, the advantages and disadvantages of the different approaches used in flexible acoustic devices in various fields are examined. Finally, the current challenges and a roadmap for future research are analyzed based on existing research progress to achieve more comprehensive and personalized healthcare.
声音信号不仅是主要的通信媒介,还在医学诊断和故障检测等领域有应用。随着公共医疗资源压力日益增大,以及残疾人每天面临的挑战,促进低成本私人医疗保健的解决方案前景广阔。声学方法因其与其他医疗解决方案相比技术复杂性较低,以及人体对声能的高安全阈值而受到广泛研究。此外,随着人工智能技术在语音识别方面的最新发展,能够协助残疾人与场景进行交互的语音识别设备和系统也在不断更新。本综述精心总结了应用于人类健康和人机交互的可穿戴声学设备的传感机制、材料、结构设计及多学科应用。此外,还研究了柔性声学设备在各个领域中使用的不同方法的优缺点。最后,基于现有研究进展分析当前挑战和未来研究路线图,以实现更全面和个性化的医疗保健。
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