An m-health application for cerebral stroke detection and monitoring using cloud services |
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| Institution: | 1. College of Nursing, Medical University of South Carolina, Charleston, SC, United States of America;2. KNUST Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;3. Department of Medicine, Neurology Unit, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;4. Department of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC, United States of America;5. School of Medicine, University of California San Francisco, San Francisco, CA, United States of America |
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| Abstract: | Over 25 million people suffered from cerebral strokes in a span of 23 years. Many systems are being developed to monitor and improve the life of patients that suffer from different diseases. However, solutions for cerebral strokes are hard to find. Moreover, due to their widespread utilization, smartphones have presented themselves as the most appropriate devices for many e-health systems. In this paper, we propose a cerebral stroke detection solution that employs the cloud to store and analyze data in order to provide statistics to public institutions. Moreover, the prototype of the application is presented. The three most important symptoms of cerebral strokes were considered to develop the tasks that are conducted. Thus, the first task detects smiles, the second task employs voice recognition to determine if a sentence is repeated correctly and, the third task determines if the arms can be raised. Several tests were performed in order to verify the application. Results show its ability to determine whether users have the symptoms of cerebral stroke or not. |
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| Keywords: | Cerebral stroke E-health Application Cloud Smile detection |
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