Graduate Seminar Series: Cell and Tissue Stream
Graduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for cell and tissue stream presenters.
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Presentation Title: MACHINE LEARNING-DRIVEN SENSORY ASSESSMENT OF SPINAL CORD INJURY
Abstract: Spinal cord injury (SCI) often results in sensory deficits, which can significantly impact the quality of life of affected individuals. Traditional methods of sensory assessment, such as ISNCSCI using pinprick and light touch, have limitations. Recently, researchers have developed the Electrical Perceptual Threshold (EPT) test for sensory assessment, which is considered a better method than traditional ones. However, the current EPT test is performed manually, which increases the risk of human error and bias. In this research study, we propose to develop a computer-controlled EPT test using a controlled relay circuit for the sensory assessment of patients with SCI. The electrodes will be placed at 56 dermatomes before the stimuli begin. The computer-controlled EPT test will automatically control the stimulus intensity and deliver it through the electrodes at the ASIA points in random order. The aim of this study is to investigate the reliability and validity of the computer-controlled EPT test using a controlled relay circuit in comparison to traditional methods of sensory assessment in patients with SCI. In addition, we also aim to use machine learning approaches to predict the extent of recovery in patients with sensory deficits at 12 or 24 months post-injury and identify potential predictors of recovery outcomes. We will collect data from 20 healthy subjects and 80 subjects with SCI. For healthy subjects, the subjects will be in the same age group as males and females. While for subjects with SCI, different ages for males and females will be collected. The data from SCI subjects will take from multiple time points, such as one month, three months, six months and twelve months, to track their recovery over time. We expect that the computer-controlled EPT test using a controlled relay circuit will be more accurate, reliable, and efficient than traditional methods of sensory assessment in patients with SCI and that it will help to improve the prediction of recovery outcomes.
Supervisor Name: Prof Milos R Popovic and Dr Shehroz Khan
Year of Study: 2
Program of Study: PhD
Zoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09
Meeting ID: 896 1037 2821
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