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Other Analytical, Diagnostic and Therapeutic Techniques and Equipment
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- Basal ganglia (1)
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Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon
Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon
Physical Therapy Faculty Articles and Research
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adults, an early diagnosis tool is crucial to prevent future falls. However, during the early stage of diagnosis, there is often limited or no labeled data (expert-confirmed diagnostic information) available in the target domain (new cohort) to determine the proper treatment for older adults. Instead, there are multiple related but non-identical domain data with labels from the existing cohort or different institutions. Integrating different …
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam
Physical Therapy Faculty Articles and Research
Introduction:
Cancer is one of the most prevalent diseases from children to elderly adults. This will be deadly if not detected at an earlier stage of the cancerous cell formation, thereby increasing the mortality rate. One such cancer is colorectal cancer, caused due to abnormal growth in the rectum or colon. Early screening of colorectal cancer helps to identify these abnormal growth and can exterminate them before they turn into cancerous cells.
Aim:
Therefore, this study aims to develop a robust and efficient classification system for colorectal cancer through Convolutional Neural Networks (CNNs) on histological images.
Methods:
Despite challenges in …
Does Subthalamic Deep Brain Stimulation Impact Asymmetry And Dyscoordination Of Gait In Parkinson’S Disease?, Deepak K. Ravi, Christian R. Baumann, Elena Bernasconi, Michelle Gwerder, Niklas K. Ignasiak, Mechtild Uhl, Lennart Stieglitz, William R. Taylor, Navrag B. Singh
Does Subthalamic Deep Brain Stimulation Impact Asymmetry And Dyscoordination Of Gait In Parkinson’S Disease?, Deepak K. Ravi, Christian R. Baumann, Elena Bernasconi, Michelle Gwerder, Niklas K. Ignasiak, Mechtild Uhl, Lennart Stieglitz, William R. Taylor, Navrag B. Singh
Physical Therapy Faculty Articles and Research
Background. Subthalamic deep brain stimulation (STN-DBS) is an effective treatment for selected Parkinson’s disease (PD) patients. Gait characteristics are often altered after surgery, but quantitative therapeutic effects are poorly described. Objective. The goal of this study was to systematically investigate modifications in asymmetry and dyscoordination of gait 6 months postoperatively in patients with PD and compare the outcomes with preoperative baseline and to asymptomatic controls without PD. Methods. A convenience sample of thirty-two patients with PD (19 with postural instability and gait disorder (PIGD) type and 13 with tremor dominant disease) and 51 asymptomatic controls participated. Parkinson patients …
Wavelet-Based Analysis Of Physical Activity And Sleep Movement Data From Wearable Sensors Among Obese Adults, Rahul Soangra, Vennila Krishnan
Wavelet-Based Analysis Of Physical Activity And Sleep Movement Data From Wearable Sensors Among Obese Adults, Rahul Soangra, Vennila Krishnan
Physical Therapy Faculty Articles and Research
Decreased physical activity in obese individuals is associated with a prevalence of cardiovascular and metabolic disorders. Physicians usually recommend that obese individuals change their lifestyle, specifically changes in diet, exercise, and other physical activities for obesity management. Therefore, understanding physical activity and sleep behavior is an essential aspect of obesity management. With innovations in mobile and electronic health care technologies, wearable inertial sensors have been used extensively over the past decade for monitoring human activities. Despite significant progress with the wearable inertial sensing technology, there is a knowledge gap among researchers regarding how to analyze longitudinal multi-day inertial sensor data …