2018 International Conference on Information Technology Systems and Innovation (ICITSI) 2018
DOI: 10.1109/icitsi.2018.8695959
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Movements Monitoring and Falling Detection Systems for Transient Ischemic Attack Patients Using Accelerometer Based on Internet of Things

Abstract: One symptom of Transient Ischemic Attack (TTA) or mild stroke is a loss of balance that makes ones easy to fall. The attacks on TIA usually occur in a short time and require immediate medical help. This study aimed to develop movements monitoring system and detector of fall for TIA sufferers using accelerometer and technology of internet of things (IoT) technology. The contribution of this study is to define ten falling movements with a decision tree algorithm. These movements are 1). Not moving, 2). Walking, … Show more

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Cited by 8 publications
(1 citation statement)
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“…At present, various advanced methods and technologies have been used in the diseases prediction and healthcare fields, including acceleration sensors [10], cameras [11], Multiple GPUs [12], Accounting for Label Uncertainty in Machine Learning [13], machine intelligence [14], mobile healthcare framework [15], deep learning approach [16], system in Internet of Medical Things [17], predictive analytics [18] and cloud computing environment [19]. All these significant contributions show their advantage and great usefulness.…”
mentioning
confidence: 99%
“…At present, various advanced methods and technologies have been used in the diseases prediction and healthcare fields, including acceleration sensors [10], cameras [11], Multiple GPUs [12], Accounting for Label Uncertainty in Machine Learning [13], machine intelligence [14], mobile healthcare framework [15], deep learning approach [16], system in Internet of Medical Things [17], predictive analytics [18] and cloud computing environment [19]. All these significant contributions show their advantage and great usefulness.…”
mentioning
confidence: 99%