Noninvasive transcranial classification of stroke using a portable eddy current damping sensor

Abstract Existing paradigms for stroke diagnosis typically involve computed tomography (CT) imaging to classify ischemic versus hemorrhagic stroke variants, as treatment for these subtypes varies widely. Delays in diagnosis and transport of unstable patients may worsen neurological status. To addres...

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Main Authors: Shane Shahrestani, Gabriel Zada, Tzu-Chieh Chou, Brandon Toy, Bryan Yao, Norman Garrett, Nerses Sanossian, Andrew Brunswick, Kuang-Ming Shang, Yu-Chong Tai
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-89735-x
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spelling doaj-7ffff1d2ecae4ea98f4c2e3ea89175332021-05-16T11:24:39ZengNature Publishing GroupScientific Reports2045-23222021-05-0111111110.1038/s41598-021-89735-xNoninvasive transcranial classification of stroke using a portable eddy current damping sensorShane Shahrestani0Gabriel Zada1Tzu-Chieh Chou2Brandon Toy3Bryan Yao4Norman Garrett5Nerses Sanossian6Andrew Brunswick7Kuang-Ming Shang8Yu-Chong Tai9Department of Medical Engineering, California Institute of TechnologyDepartment of Neurosurgery, Keck School of Medicine, University of Southern CaliforniaDepartment of Medical Engineering, California Institute of TechnologyDepartment of Medical Engineering, California Institute of TechnologyDepartment of Medical Engineering, California Institute of TechnologyDepartment of Neurosurgery, Keck School of Medicine, University of Southern CaliforniaDepartment of Neurology, Keck School of Medicine, University of Southern CaliforniaDepartment of Neurosurgery, Keck School of Medicine, University of Southern CaliforniaDepartment of Medical Engineering, California Institute of TechnologyDepartment of Medical Engineering, California Institute of TechnologyAbstract Existing paradigms for stroke diagnosis typically involve computed tomography (CT) imaging to classify ischemic versus hemorrhagic stroke variants, as treatment for these subtypes varies widely. Delays in diagnosis and transport of unstable patients may worsen neurological status. To address these issues, we describe the development of a rapid, portable, and accurate eddy current damping (ECD) stroke sensor. Copper wire was wound to create large (11.4 cm), medium (4.5 cm), and small (1.5 cm) solenoid coils with varying diameters, with each connected to an inductance-to-digital converter. Eight human participants were recruited between December 15, 2019 and March 15, 2020, including two hemorrhagic stroke, two ischemic stroke, one subarachnoid hemorrhage, and three control participants. Observers were blinded to lesion type and location. A head cap with 8 horizontal scanning paths was placed on the patient. The sensor was tangentially rotated across each row on the patient’s head circumferentially. Consent, positioning, and scanning with the sensor took roughly 15 min from start to end for each participant and all scanning took place at the patient bedside. The ECD sensor accurately classified and imaged each of the varying stroke types in each patient. The sensor additionally detected ischemic and hemorrhagic lesions located deep inside the brain, and its range is selectively tunable during sensor design and fabrication.https://doi.org/10.1038/s41598-021-89735-x
collection DOAJ
language English
format Article
sources DOAJ
author Shane Shahrestani
Gabriel Zada
Tzu-Chieh Chou
Brandon Toy
Bryan Yao
Norman Garrett
Nerses Sanossian
Andrew Brunswick
Kuang-Ming Shang
Yu-Chong Tai
spellingShingle Shane Shahrestani
Gabriel Zada
Tzu-Chieh Chou
Brandon Toy
Bryan Yao
Norman Garrett
Nerses Sanossian
Andrew Brunswick
Kuang-Ming Shang
Yu-Chong Tai
Noninvasive transcranial classification of stroke using a portable eddy current damping sensor
Scientific Reports
author_facet Shane Shahrestani
Gabriel Zada
Tzu-Chieh Chou
Brandon Toy
Bryan Yao
Norman Garrett
Nerses Sanossian
Andrew Brunswick
Kuang-Ming Shang
Yu-Chong Tai
author_sort Shane Shahrestani
title Noninvasive transcranial classification of stroke using a portable eddy current damping sensor
title_short Noninvasive transcranial classification of stroke using a portable eddy current damping sensor
title_full Noninvasive transcranial classification of stroke using a portable eddy current damping sensor
title_fullStr Noninvasive transcranial classification of stroke using a portable eddy current damping sensor
title_full_unstemmed Noninvasive transcranial classification of stroke using a portable eddy current damping sensor
title_sort noninvasive transcranial classification of stroke using a portable eddy current damping sensor
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-05-01
description Abstract Existing paradigms for stroke diagnosis typically involve computed tomography (CT) imaging to classify ischemic versus hemorrhagic stroke variants, as treatment for these subtypes varies widely. Delays in diagnosis and transport of unstable patients may worsen neurological status. To address these issues, we describe the development of a rapid, portable, and accurate eddy current damping (ECD) stroke sensor. Copper wire was wound to create large (11.4 cm), medium (4.5 cm), and small (1.5 cm) solenoid coils with varying diameters, with each connected to an inductance-to-digital converter. Eight human participants were recruited between December 15, 2019 and March 15, 2020, including two hemorrhagic stroke, two ischemic stroke, one subarachnoid hemorrhage, and three control participants. Observers were blinded to lesion type and location. A head cap with 8 horizontal scanning paths was placed on the patient. The sensor was tangentially rotated across each row on the patient’s head circumferentially. Consent, positioning, and scanning with the sensor took roughly 15 min from start to end for each participant and all scanning took place at the patient bedside. The ECD sensor accurately classified and imaged each of the varying stroke types in each patient. The sensor additionally detected ischemic and hemorrhagic lesions located deep inside the brain, and its range is selectively tunable during sensor design and fabrication.
url https://doi.org/10.1038/s41598-021-89735-x
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