Deep Learning-Enabled Swallowing Monitoring and Postoperative Recovery Biosensing System

This study introduces an innovative 3-D-printed dry electrode tailored for biosensing in postoperative recovery scenarios. Fabricated through a drop-coating process, the electrode incorporates a novel 2-D material, MXene, and PEDOT:PSS on a polylactide (PLA) substrate. The PEDOT:PSS layer functions...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE sensors journal 2025-01, Vol.25 (1), p.108-116
Hauptverfasser:	Tsai, Chih-Ning, Yang, Pei-Wen, Huang, Tzu-Yen, Chen, Jung-Chih, Tseng, Hsin-Yi, Wu, Che-Wei, Sarmah, Amrit, Subramaniyan, Pulikkutty, Lin, Tzu-En
Format:	Artikel
Sprache:	eng
Schlagworte:	Biocompatibility Coatings Deep learning Dry electrode Electrodes Electromyography Monitoring Muscles MXene MXenes Oxidation PEDOT:PSS Polylactic acid Recording Recovery Scanning electron microscopy Sensors Signal to noise ratio Substrates Suction Surface treatment swallowing monitoring Two dimensional materials
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!