In this paper, we propose a deep learning approach for distinguishing smartphone users with TBI from healthy controls based on smartphone-sensed behaviors ...
Nov 8, 2021 · Abstract—Traumatic Brain Injury (TBI), caused by a severe impact to the head, can have long-lasting and possibly life-long.
May 4, 2021 · each cluster of users using Extreme Gradient Boosting Outlier detection to identify users with TBI. The overview of the workflow is shown in ...
Our method analyzes smartphone sensor data by first utilizing Deep Embedded Clustering (DEC) to identify clusters of users with similar smartphone-sensed ...
Machine learning prediction of tbi from mobility, gait and balance patterns · Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier ...
Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection pp. 122-132. Remote Photoplethysmography Heart Rate Variability ...
DeepSEAS: Smartphone-based Early Ailment Sensing Using ...
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Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection. Conference Paper. Sep 2021. Srinarayan Srikanthan · Florina Asani ...
Traumatic Brain Injury (TBI) detection using a multimodal self-attention fusion neural network and a passive bioscore monitoring framework from smartphone ...
In this paper we propose a method for texture feature extraction. We transform the image into a two-dimensional Discrete Cosine Transform (DCT) and extract ...
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