A Survey on Big Data Application for Modality and Physiological Signal Analysis

Abstract

An explosion of healthcare data has occurred in recent years due to the widespread availability of sophisticated physiological signal monitoring devices and the development of telemetry and cognitive communication systems. Additionally, the accessibility of medical data for the establishment of applications in big data has rapidly increased due to affordable and efficient storage and power techniques. With the current state of technology, healthcare professionals are unable to effectively handle and understand large, rapidly changing, and complex data; this is where big data applications come in. Making medical services more cost- effective and sustainable is a driving force behind the creation of such systems. In this article, we present a discussion of the present condition of big data applications that make use of physiological signals or derived metrics to aid in medical decision making in the home and in the hospital. Specifically, we examine critical care systems designed for continuous healthcare management and address the obstacles that must be surmounted before such systems may be used in real-world practice. Big data technologies might revolutionize future hospital administration if these problems are solved.