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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2021
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oai:doaj.org-article:7ffff1d2ecae4ea98f4c2e3ea89175332021-12-02T17:16:14ZNoninvasive transcranial classification of stroke using a portable eddy current damping sensor10.1038/s41598-021-89735-x2045-2322https://doaj.org/article/7ffff1d2ecae4ea98f4c2e3ea89175332021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89735-xhttps://doaj.org/toc/2045-2322Abstract 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.Shane ShahrestaniGabriel ZadaTzu-Chieh ChouBrandon ToyBryan YaoNorman GarrettNerses SanossianAndrew BrunswickKuang-Ming ShangYu-Chong TaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q 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 |
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. |
format |
article |
author |
Shane Shahrestani Gabriel Zada Tzu-Chieh Chou Brandon Toy Bryan Yao Norman Garrett Nerses Sanossian Andrew Brunswick Kuang-Ming Shang Yu-Chong Tai |
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 Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/7ffff1d2ecae4ea98f4c2e3ea8917533 |
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