Intracranial Heart Rate Detection Using UWB Radar
File(s)BioCAS16_Lauteslager_etal_final_submission.pdf (602.73 KB)
Accepted version
Author(s)
Lauteslager, T
Tommer, M
Kjelgard, KG
Lande, TS
Constandinou, TG
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.
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.
Date Issued
2017-01-26
Date Acceptance
2016-08-10
Citation
IEEE Biomedical Circuits and Systems (BioCAS) Conference, 2017, pp.119-122
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
Commission of the European Communities
Engineering & Physical Science Research Council (EPSRC)
Grant Number
PIEF-GA-2013-623767
EP/N002474/1
Source
IEEE Biomedical Circuits and Systems (BioCAS) Conference
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Biomedical
Engineering, Electrical & Electronic
Computer Science
Engineering
Publication Status
Published
Start Date
2016-10-17
Finish Date
2016-10-19
Coverage Spatial
Shanghai, China