Your browser doesn't support javascript.
loading
Self-Powered Hybrid Motion and Health Sensing System Based on Triboelectric Nanogenerators.
Zhang, Maoqin; Yan, Wei; Ma, Weiting; Deng, Yuheng; Song, Weixing.
Afiliação
  • Zhang M; Beijing Key Laboratory Optical Materials and Photonic Devices, Department of Chemistry, Capital Normal University, Beijing, 100048, China.
  • Yan W; Beijing Key Laboratory Optical Materials and Photonic Devices, Department of Chemistry, Capital Normal University, Beijing, 100048, China.
  • Ma W; State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Electrochemical Process and Technology of Materials, Beijing University of Chemical Technology, Beijing, 100029, China.
  • Deng Y; Beijing Key Laboratory Optical Materials and Photonic Devices, Department of Chemistry, Capital Normal University, Beijing, 100048, China.
  • Song W; Beijing Key Laboratory Optical Materials and Photonic Devices, Department of Chemistry, Capital Normal University, Beijing, 100048, China.
Small ; : e2402452, 2024 May 29.
Article em En | MEDLINE | ID: mdl-38809080
ABSTRACT
Triboelectric nanogenerator (TENG) represents an effective approach for the conversion of mechanical energy into electrical energy and has been explored to combine multiple technologies in past years. Self-powered sensors are not only free from the constraints of mechanical energy in the environment but also capable of efficiently harvesting ambient energy to sustain continuous operation. In this review, the remarkable development of TENG-based human body sensing achieved in recent years is presented, with a specific focus on human health sensing solutions, such as body motion and physiological signal detection. The movements originating from different parts of the body, such as body, touch, sound, and eyes, are systematically classified, and a thorough review of sensor structures and materials is conducted. Physiological signal sensors are categorized into non-implantable and implantable biomedical sensors for discussion. Suggestions for future applications of TENG-based biomedical sensors are also indicated, highlighting the associated challenges.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article