Noncontact tremor characterization using low-power wideband radar technology

Gaddi Blumrosen, Moshe Uziel, Boris Rubinsky, Dana Porrat

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Continuous monitoring and analysis of tremor is important for the diagnosis and establishment of treatments in many neurological disorders. This paper describes noncontact assessment of tremor characteristics obtained by an experimental new ultrawideband (UWB) system. The system is based on transmission of a wideband electromagnetic signal with extremely low power, and analysis of the received signal, which is composed of many propagation paths reflected from the patient and its surroundings. A description of the physical principles behind the technology, a criterion, and efficient algorithms to assess tremor characteristics from the bulk UWB measurements are given. A feasibility test for the technology was conducted using a UWB system prototype, an arm model that mimics tremor, and a reference video system. The set of UWB system frequencies and amplitudes estimations were highly correlated with the video system estimations with an average error in the scale of 0.1Hz and 1mm for the frequency and amplitude estimations, respectively. The new UWB-based system does not require attaching active markers or inertial sensors to the body, can give displacement information and kinematic features from multiple body parts, is not limited by the range captured by the optical lens, has high indoor volume coverage as it can penetrate through walls, and does not require calibration to obtain amplitude estimations.

Original languageEnglish
Article number6094196
Pages (from-to)674-686
Number of pages13
JournalIEEE Transactions on Biomedical Engineering
Volume59
Issue number3
DOIs
StatePublished - Mar 2012
Externally publishedYes

Keywords

  • Body sensor
  • Parkinsons disease (PD)
  • optics
  • tremor
  • ultrawideband (UWB)

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