A Review of Smart Phone Applications Used for Health Care, Epilepsy and Activity Monitoring Systems

Abstract

The modern technology has been increasingly found its way to the healthcare applications. One of those widely used technologies is use of the smartphone devises. This kind of technology has involved mainly in almost all life aspects, nonetheless, the medical and health care aspect. One of the health impairments the required a constant monitoring is the epileptic attacks. For these patients who have the neurological disease, it is very dangerous to leave them alone during the epileptic attack due to the fact that it is unknown how long that attack would last. In this review paper we explain the most recent trends in this field. We explain first the activity monitoring systems including the normal and abnormal activities. Later, we explain the most recently published academic works related to the epilepsy detection apps. a design of a suggested epilepsy detection system is also given in this paper . As a result of this review, we discovered that using the machine learning methodologies has been increasingly used in this field. This involves the discrimination of the tasks and classifying them as normal and abnormal activities of epilepsy patients. It is also discovered that using the data mining supervised techniques such as the Support Vector Machines (SVM) and the Convolutional Deep Neural Networks (CNN) has been efficient in order to make this classification.