Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand)
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University of Cincinnati / OhioLINK
2015
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445608971 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-ucin14456089712021-08-03T06:33:30Z Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand) Jones, Brittany M.G. Health Sciences Acute Neurological Emergencies Electroencephalography Traumatic Brain Injury Point of Care Brain Computer Interface Electrode Neurological emergencies occur in millions of Americans every year with frequently devastating results. Examples of these types of emergencies include acute pituitary failure, acute stroke, sub-arachnoid hemorrhage, severe traumatic brain injuries, and acute symptomatic seizures. Traumatic Brain Injury (TBI) is one common neurological condition that has high morbidity and mortality. If not assessed quickly and efficiently, the severity or indicator of underlying injury can be mistaken leading to either catastrophic consequences or the triaging of patients with non-significant injuries to Trauma centers under the suspicion of having a possible TBI. Advanced industry tools such as CT scanners and MRI machines have been used to perform imaging studies for diagnostic, re-evaluation and monitoring purposes inside tertiary care centers. However, these machines are very expensive and bulky while requiring the user to remain still for extended periods of time; which makes them inappropriate for continuous monitoring. The use of these advanced diagnostic technologies to perform a full evaluation of acute diseases is not only critical, but frequently treatment based on evaluation findings makes the transferring to specialized medical centers absolutely necessary. The optimization of diagnostics is critical here as early diagnosis/and or treatment can have a significant impact in increasing or decreasing a patient’s chance for survival in the face of prolonged transport or treatment response timing. Currently, there is no efficient time-dependent tool to allow first responders to gather diagnostic information to assess a patient’s risk of having acute neurological illness or injury at the point of care. Such a device would facilitate better care and possibly better outcomes for a large group of vulnerable patients. The goal of this research is to develop a non-invasive time-dependent technology for appropriate use in assisting medical providers and first responders with real-time bedside capabilities that can address neurological emergencies.An efficient handheld Electroencephalograph device prototype is presented here using a dsPIC33 microcontroller, bristled silver/silver chloride electrodes, and ADS chip. EEG is the only method in use today which will allow for the non-invasive measuring of brain activity. The system described utilizes dry electrode placement, digital signal processing, and Bluetooth to record, collect, and transmit digitized brain signal data wirelessly from the patient to a remote desktop device (laptop) for analysis. In this way the system has become more portable, easier and less time consuming to prep, eliminates the need for a wired connection, and would give future first responders a quicker way to access information from patient brain waves at the point of care. 2015 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445608971 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445608971 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Health Sciences Acute Neurological Emergencies Electroencephalography Traumatic Brain Injury Point of Care Brain Computer Interface Electrode |
| spellingShingle |
Health Sciences Acute Neurological Emergencies Electroencephalography Traumatic Brain Injury Point of Care Brain Computer Interface Electrode Jones, Brittany M.G. Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand) |
| author |
Jones, Brittany M.G. |
| author_facet |
Jones, Brittany M.G. |
| author_sort |
Jones, Brittany M.G. |
| title |
Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand) |
| title_short |
Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand) |
| title_full |
Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand) |
| title_fullStr |
Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand) |
| title_full_unstemmed |
Development of Microcontroller-based Handheld Electroencephalography Device for use in Diagnostic Analysis of Acute Neurological Emergencies (E-Hand) |
| title_sort |
development of microcontroller-based handheld electroencephalography device for use in diagnostic analysis of acute neurological emergencies (e-hand) |
| publisher |
University of Cincinnati / OhioLINK |
| publishDate |
2015 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445608971 |
| work_keys_str_mv |
AT jonesbrittanymg developmentofmicrocontrollerbasedhandheldelectroencephalographydeviceforuseindiagnosticanalysisofacuteneurologicalemergenciesehand |
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