Literature DB >> 31354081

Non-invasive sensor technology for prehospital stroke diagnosis: Current status and future directions.

Kyle B Walsh1,2.   

Abstract

BACKGROUND: The diagnosis of stroke in the prehospital environment is the subject of intense interest and research. There are a number of non-invasive external brain monitoring devices in development that utilize various technologies to function as sensors for stroke and other neurological conditions. Future increased use of one or more of these devices could result in substantial changes in the current processes for stroke diagnosis and treatment, including transportation of stroke patients by emergency medical services. AIMS: The present review will summarize information about 10 stroke sensor devices currently in development, utilizing various forms of technology, and all of which are external, non-invasive brain monitoring devices. SUMMARY OF REVIEW: Ten devices are discussed including the technology utilized, the indications for use (stroke and, when relevant, other neurological conditions), the environment(s) indicated for use (with a focus on the prehospital setting), a description of the physical structure of each instrument, and, when available, findings that have been published in peer-reviewed journals or otherwise reported. The review is organized based on the technology utilized by each device, and seven distinct forms were identified: accelerometers, electroencephalography (EEG), microwaves, near-infrared, radiofrequency, transcranial doppler ultrasound, and volumetric impedance phase shift spectroscopy.
CONCLUSIONS: Non-invasive external brain monitoring devices are in various stages of development and have promise as stroke sensors in the prehospital setting. Some of the potential applications include to differentiate stroke from non-stroke, ischemic from hemorrhage stroke, and large vessel occlusion (LVO) from non-LVO ischemic stroke. Successful stroke diagnosis prior to hospital arrival could transform the current diagnostic and treatment paradigm for this disease.

Entities:  

Keywords:  Cerebral hemorrhage; Ischaemic stroke; cerebral infarction; intracerebral hemorrahage; neurology; stroke

Mesh:

Year:  2019        PMID: 31354081     DOI: 10.1177/1747493019866621

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  14 in total

Review 1.  Portable stroke detection devices: a systematic scoping review of prehospital applications.

Authors:  Susmita Chennareddy; Roshini Kalagara; Colton Smith; Stavros Matsoukas; Abhiraj Bhimani; John Liang; Steven Shapiro; Reade De Leacy; Maxim Mokin; Johanna T Fifi; J Mocco; Christopher P Kellner
Journal:  BMC Emerg Med       Date:  2022-06-16

2.  Performance of the vision, aphasia, neglect (VAN) assessment within a single large EMS system.

Authors:  Mehul D Patel; Jackie Thompson; José G Cabañas; Jefferson G Williams; Erin Lewis; Michael Bachman; Mahmoud Al Masry; Charles LaVigne; Leonardo Morantes; Tibor Becske; Omar Kass-Hout
Journal:  J Neurointerv Surg       Date:  2021-04-23       Impact factor: 5.836

Review 3.  Characteristics of patients who had a stroke not initially identified during emergency prehospital assessment: a systematic review.

Authors:  Stephanie P Jones; Janet E Bray; Josephine Me Gibson; Graham McClelland; Colette Miller; Chris I Price; Caroline L Watkins
Journal:  Emerg Med J       Date:  2021-02-19       Impact factor: 2.740

Review 4.  Surface electroencephalography (EEG) during the acute phase of stroke to assist with diagnosis and prediction of prognosis: a scoping review.

Authors:  Lou Sutcliffe; Hannah Lumley; Lisa Shaw; Richard Francis; Christopher I Price
Journal:  BMC Emerg Med       Date:  2022-02-28

5.  Development and Validation of a LASSO Prediction Model for Better Identification of Ischemic Stroke: A Case-Control Study in China.

Authors:  Zirui Meng; Minjin Wang; Shuo Guo; Yanbing Zhou; Mingxue Zheng; Miaonan Liu; Yongyu Chen; Zhumiao Yang; Bi Zhao; Binwu Ying
Journal:  Front Aging Neurosci       Date:  2021-07-08       Impact factor: 5.750

Review 6.  A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke.

Authors:  Hannah A Lumley; Darren Flynn; Lisa Shaw; Graham McClelland; Gary A Ford; Phil M White; Christopher I Price
Journal:  BMC Emerg Med       Date:  2020-04-26

7.  A Prototype Microwave System for 3D Brain Stroke Imaging.

Authors:  Jorge A Tobon Vasquez; Rosa Scapaticci; Giovanna Turvani; Gennaro Bellizzi; David O Rodriguez-Duarte; Nadine Joachimowicz; Bernard Duchêne; Enrico Tedeschi; Mario R Casu; Lorenzo Crocco; Francesca Vipiana
Journal:  Sensors (Basel)       Date:  2020-05-03       Impact factor: 3.576

Review 8.  Extracellular Vesicles in Acute Stroke Diagnostics.

Authors:  Katrine Tang Stenz; Jesper Just; Rolf Ankerlund Blauenfeldt; Kim Ryun Drasbek
Journal:  Biomedicines       Date:  2020-07-28

9.  Predicting stroke severity with a 3-min recording from the Muse portable EEG system for rapid diagnosis of stroke.

Authors:  Cassandra M Wilkinson; Jennifer I Burrell; Jonathan W P Kuziek; Sibi Thirunavukkarasu; Brian H Buck; Kyle E Mathewson
Journal:  Sci Rep       Date:  2020-10-28       Impact factor: 4.379

10.  Stroke mimics: incidence, aetiology, clinical features and treatment.

Authors:  Brian H Buck; Naveed Akhtar; Anas Alrohimi; Khurshid Khan; Ashfaq Shuaib
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

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