The College is using engineering principles to investigate what happens when external forces cause damage to the brain, through impact, blasts or rapid movement of the brain within the skull. Several priority areas for research come from the National Science Foundation, the National Institutes of Health, the Department of Defense and from Temple University. Research being conducted by faculty at the College of Engineering is aimed at understanding traumatic brain injury and formulating better solutions for treatment.
Investigation of Blood-Brain Barrier Disruption Mechanism due to Blast-Induced Traumatic Brain Injury
Faculty: Dr. Kurosh Darvish and Soroush Assari, PhD candidate
Sponsor: American Heart Association
In traumatic brain injury (TBI), the blood-brain barrier (BBB) dysfunction and the resulting small-vessel endothelial leakage triggers a cascade of events leading to cerebrovascular and brain diseases. This study investigates the rupturing of BBB in TBI from exposure to a blast. The overall goal of this project is to investigate and expand the current knowledge of influential biomechanical factors in BBB rupture.
Advanced Ballistics Technology Material Development, Characterization, and Computational Modeling
Faculty: Dr. Kurosh Darvish
Sponsor: U.S. Army Research Office
Traumatic brain injury (TBI) in vivo TBI tests for the evaluation of head kinematics. This will provide information into brain material characterization, computational Modeling of TBI, histological evaluations and biomechanical assessment of TBI. Automated Assessment of Postural Stability (AAPS) Faculty: Obeid, Iyad Sponsor: Department of the Army Summary: For individuals with mild traumatic brain injury (mTBI) or concussion, and musculoskeletal injuries commonly seen in active duty military personnel, it is difficult to test and evaluate in the field. This study develops and calibrates a field test system for quantifying balance control for return to duty assessment. The system, which is already being prototyped at Temple University, uses the Microsoft Kinect motion capture device to objectively measure a subject’s balance during the Balance Error Scoring System (BESS) test. The aim is to eliminate current inaccuracies in test scores that could lead to inappropriate return to military duty before adequate recovery from the mTBI.
Automatic discovery and processing of EEG cohorts from clinical records
Faculty: Dr. Joseph Picone
Sponsor: National Institute of Neurological Disorders and Stroke (NIDDK/NIH)
The research is aimed at creating an automatic uncovering of clinical knowledge from a vast BigData archive of clinical EEG signals and EEG reports collected over the past 12 years at Temple University Hospital. This will lead to a discovery of patient cohorts, an annotated Big Data archive and software for the annotation and a system of patient cohort retrieval that will greatly increase accessibility for non-experts in neuroscience, bioengineering and medical informatics, and will demonstrate the transformative potential of mining the staggering wealth of biomedical knowledge available in hospital medical records.
Enabling the Application of Deep Learning to Automated Seizure Detection
Sponsor: PA Cure
In 2012 the College began a long-term project to build the world's largest open source clinical EEG corpus to support deep learning research into automatic interpretation of EEGs. The much publicized research has been distributed by over 160 organizations worldwide and generated a significant amount of external funding. The data, known as the TU EEG Seizure Corpus, will become a dominant resource for developing automated seizure detection technology. The work will add additional of another 9,000 sessions of EEG data will allow us to improve our seizure detection technology and enhance commercialization effort and will make a significant contribution to the field.