Versatile Low-Cost Microwave Helmet Brain Sensor for Monitoring Parkinson Disease

E. C. Ngai, R. Shavit

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

a new and practical perspective on the management of Parkinson's disease (PD) is introduced due to the progress in the field of medical imaging techniques in the charting of the mid-brain activities of the PD patients. A new cost-effective design of comfortably weighed personal helmet (microwave head-band type) sensor is the timely equipment to evaluate Parkinson Disease patients at home to maintain good physician-patient safety during pandemic worldwide lockdown. These microwave helmet sensor devices function as handy "stethoscopes"designed for the PD medical staffs and patients. They are also very practical tool for the PD patients to check their physical conditions and alert them to perform suitable body exercise to reduce their PD symptoms [1].

Original languageEnglish
Title of host publication2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages448-451
Number of pages4
ISBN (Electronic)9780738146720
DOIs
StatePublished - 1 Jan 2021
Event2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2021 - Tel Aviv, Israel
Duration: 1 Nov 20213 Nov 2021

Publication series

Name2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2021

Conference

Conference2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2021
Country/TerritoryIsrael
CityTel Aviv
Period1/11/213/11/21

Keywords

  • Comfortably designed
  • Cost-effective
  • Helmet-type microwave PD monitoring and sensing equipment [1]

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation

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