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Advances in Non-Invasive Neuromodulation: Designing Closed-Loop Devices for Respiratory-Controlled Transcutaneous Vagus Nerve Stimulation.
de Faria, Gabriella Maria; Lopes, Eugênia Gonzales; Tobaldini, Eleonora; Montano, Nicola; Cunha, Tatiana Sousa; Casali, Karina Rabello; de Amorim, Henrique Alves.
Afiliación
  • de Faria GM; Institute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
  • Lopes EG; Institute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
  • Tobaldini E; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy.
  • Montano N; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy.
  • Cunha TS; Institute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
  • Casali KR; Institute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
  • de Amorim HA; Institute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
Healthcare (Basel) ; 12(1)2023 Dec 22.
Article en En | MEDLINE | ID: mdl-38200937
ABSTRACT
Studies suggest non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) as a potential therapeutic option for various pathological conditions, such as epilepsy and depression. Exhalation-controlled taVNS, which synchronizes stimulation with internal body rhythms, holds promise for enhanced neuromodulation, but there is no closed-loop system in the literature capable of performing such integration in real time. In this context, the objective was to develop real-time signal processing techniques and an integrated closed-loop device with sensors to acquire physiological data. After a conditioning stage, the signal is processed and delivers synchronized electrical stimulation during the patient's expiratory phase. Additional modules were designed for processing, software-controlled selectors, remote and autonomous operation, improved analysis, and graphical visualization. The signal processing method effectively extracted respiratory cycles and successfully attenuated signal noise. Heart rate variability was assessed in real time, using linear statistical evaluation. The prototype feedback stimulator device was physically constructed. Respiratory peak detection achieved an accuracy of 90%, and the real-time processing resulted in a small delay of up to 150 ms in the detection of the expiratory phase. Thus, preliminary results show promising accuracy, indicating the need for additional tests to optimize real-time processing and the application of the prototype in clinical studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Healthcare (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Healthcare (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Brasil
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