Abstract
Healthcare systems for chronic diseases demand continuous monitoring of physiological parameters or vital signs of the patients’ body. Through these vital signs’ information, healthcare experts attempt to diagnose the behavior of a disease. Identifying the relationship between these vital signs is still a big question for the research community. We have proposed a sophisticated way to identify the affiliations between vital signs of three specific diseases i.e., Sepsis, Sleep Apnea, and Intradialytic Hypotension (IDH) through Pearson statistical correlation analysis. Vital signs data of about 32 patients were taken for analysis. Experimental results show significant affiliations of vital signs of Sepsis and IDH with average correlation coefficient of 0.9 and 0.58, respectively. The stability of the mentioned correlation is about 75% and 90%, respectively.
Highlights
Dissemination of chronic diseases and ever-increasing growth of the human population demands the monitoring of an individual’s health status through continuous vital sign measurement to prevent fatal disorders
We have proposed a sophisticated way to analyze vital signs relationship for three diseases, Sepsis [9], Sleep Apnea [10], and Intradialytic Hypotension (IDH) [11] [12]
To perform correlation analysis on vital signs’ of three selected diseases (Sepsis, Sleep Apnea, and IDH), we have acquired vital sign dataset from the University of Queensland [21]
Summary
Dissemination of chronic diseases and ever-increasing growth of the human population demands the monitoring of an individual’s health status through continuous vital sign measurement to prevent fatal disorders. Vital signs measurements of the human body’s most fundamental functions (i.e., blood pressure, pulse rate, respiration or breathing rate, and body temperature, etc.) are helpful in the detection and monitoring of medical problems [1] [2]. Through the availability of biomedical sensors and IoT devices, vital signs measurements can be taken anytime from anywhere and promote the concept of Ubiquitous Healthcare Systems (UHS) [3], telemedicine systems [4], and digital epidemiology [5]. UHS facilitate medical officers and caregivers through continuous observation of patients’ vital signs for in-time diagnosis, analysis, and treatment of diseases [6]. The combination of a patient’s vital signs is important in disease diagnosis and prognosis because these vital signs are somewhere
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