Literature DB >> 31689207

Integrated Flexible Hybrid Silicone-Textile Dual-Resonant Sensors and Switching Circuit for Wearable Neurodegeneration Monitoring Systems.

Imran M Saied, Siddharthan Chandran, Tughrul Arslan.   

Abstract

This paper describes the design, development, and testing of flexible hybrid silicone-textile sensors and a flexible switching circuit that were integrated into a wearable system for monitoring neurodegenerative diseases. A total of 6 planar monopole antenna sensors were fabricated that propagates at two separate resonant frequencies: 800 MHz and 2.1 GHz respectively. In addition, 2 switching circuits, each having 3 switches and 4 SMA breakout boards, were assembled and placed on the wearable neurodegeneration monitoring system. Each switching circuit connects 3 sensors to a single port on a vector network analyzer (VNA) that is used to generate and receive microwave signals. Experiments were performed using the wearable device with the developed sensors and switching circuit on phantoms mimicking two common physiological changes in the brain caused by neurodegenerative diseases: 1) brain atrophy and 2) lateral ventricle enlargement. The dual nature of the sensors' resonance allows it to detect both brain atrophy and lateral ventricle enlargement separately at different operating frequency. This provides the advantage of minimizing the number of sensor elements needed to monitor neurodegenerative disease. The use of a switching circuit also allows for quick and convenient measurements by choosing which sensors are active for ports 1 and 2 on the VNA respectively. In addition to being low-cost, the flexibility of the materials used in fabrication allows the sensors and switching circuit to be conformal to the patient's head. Results from the experiments indicates that the sensors and switching circuit were working successfully when integrated into the wearable device.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31689207     DOI: 10.1109/TBCAS.2019.2951500

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  5 in total

Review 1.  Personalized Healthcare for Dementia.

Authors:  Seunghyeon Lee; Eun-Jeong Cho; Hyo-Bum Kwak
Journal:  Healthcare (Basel)       Date:  2021-01-28

2.  Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network.

Authors:  Baoying Wang
Journal:  J Healthc Eng       Date:  2022-01-25       Impact factor: 2.682

3.  Early assessment of acute ischemic stroke in rabbits based on multi-parameter near-field coupling sensing.

Authors:  Gen Li; Shengtong Yin; Man Jian; Jingbo Chen; Lingxi Zeng; Zelin Bai; Wei Zhuang; Bingxin Xu; Shengjie He; Jian Sun; Yujie Chen
Journal:  Biomed Eng Online       Date:  2022-03-27       Impact factor: 2.819

Review 4.  Smart E-Textiles: Overview of Components and Outlook.

Authors:  Rebecca R Ruckdashel; Ninad Khadse; Jay Hoon Park
Journal:  Sensors (Basel)       Date:  2022-08-13       Impact factor: 3.847

5.  An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction.

Authors:  Jingbo Chen; Gen Li; Huayou Liang; Shuanglin Zhao; Jian Sun; Mingxin Qin
Journal:  Biomed Eng Online       Date:  2021-08-03       Impact factor: 2.819

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.