Intracranial Heart Rate Detection Using UWB Radar

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Title: Intracranial Heart Rate Detection Using UWB Radar
Authors: Lauteslager, T
Tommer, M
Kjelgard, KG
Lande, TS
Constandinou, TG
Item Type: Conference Paper
Abstract: Microwave imaging is a promising technique for noninvasive imaging of brain activity. A multistatic array of body coupled antennas and single chip pulsed ultra-wideband radars should be capable of detecting local changes in cerebral blood volume, a known indicator for neural activity. As an initial verification that small changes in the cerebrovascular system can indeed be measured inside the skull, we recorded the heart rate intracranially using a single radar module and two body coupled antennas. The obtained heart rate was found to correspond to ECG measurements. To confirm that the measured signal was indeed from within the skull, we performed simulations to predict the time-of-flight of radar pulses passing through different anatomical structures of the head. Simulated time-of-flight through the brain corresponded to the measured delay of heart rate modulation in the radar signal. The detection of intracranial heart rate using microwave techniques has not previously been reported, and serves as a first proof that functional neuroimaging using radar could lie within reach.
Issue Date: 26-Jan-2017
Date of Acceptance: 10-Aug-2016
Publisher: IEEE
Start Page: 119
End Page: 122
Journal / Book Title: IEEE Biomedical Circuits and Systems (BioCAS) Conference
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Commission of the European Communities
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: PIEF-GA-2013-623767
Conference Name: IEEE Biomedical Circuits and Systems (BioCAS) Conference
Keywords: Science & Technology
Computer Science, Information Systems
Engineering, Biomedical
Engineering, Electrical & Electronic
Computer Science
Publication Status: Published
Start Date: 2016-10-17
Finish Date: 2016-10-19
Conference Place: Shanghai, China
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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