Generating Heterogeneous Big Data Set for Healthcare and Telemedicine Research Based on ECG, Spo2, Blood Pressure Sensors, and Text Inputs: Data set classified, Analyzed, Organized, And Presented in Excel File Format

Al-Obidi, Omar; Salman, Omar; Abdul Latiff, Nurul Mu.; Ariffin, Sharifah

Generating Heterogeneous Big Data Set for Healthcare and Telemedicine Research Based on ECG, Spo2, Blood Pressure Sensors, and Text Inputs: Data set classified, Analyzed, Organized, And Presented in Excel File Format

dc.contributor.author	Al-Obidi, Omar
dc.contributor.author	Salman, Omar
dc.contributor.author	Abdul Latiff, Nurul Mu.
dc.contributor.author	Ariffin, Sharifah
dc.date.accessioned	2023-04-11T00:13:23Z
dc.date.available	2023-04-11T00:13:23Z
dc.date.issued	2023-01-23
dc.description.abstract	Heterogenous Big dataset is presented in this proposed work: electrocardiogram (ECG) signal, blood pressure signal, oxygen saturation (SpO2) signal, and the text input. This work is an extension version for our relevant formulating of dataset that presented in [1] and a trustworthy and relevant medical dataset library (PhysioNet [2]) was used to acquire these signals. The dataset includes medical features from heterogenous sources (sensory data and non-sensory). Firstly, ECG sensor’s signals which contains QRS width, ST elevation, peak numbers, and cycle interval. Secondly: SpO2 level from SpO2 sensor’s signals. Third, blood pressure sensors’ signals which contain high (systolic) and low (diastolic) values and finally text input which consider non-sensory data. The text inputs were formulated based on doctors diagnosing procedures for heart chronic diseases. Python software environment was used, and the simulated big data is presented along with analyses.
dc.description.sponsorship	Universiti Teknologi Malaysia
dc.identifier.uri	http://openscience.utm.my/handle/123456789/78
dc.language.iso	en
dc.publisher	Mendeley Data
dc.subject	Cloud Computing
dc.subject	Machine Learning Algorithm
dc.subject	Big Data
dc.subject	Telemedicine
dc.subject	Sensor
dc.subject	Healthcare Research
dc.subject	Emergency Nursing
dc.subject	e-Health
dc.subject	Deep Learning
dc.subject	Mobile Health
dc.subject	Data Analytics
dc.subject	Internet of Medical Things
dc.title	Generating Heterogeneous Big Data Set for Healthcare and Telemedicine Research Based on ECG, Spo2, Blood Pressure Sensors, and Text Inputs: Data set classified, Analyzed, Organized, And Presented in Excel File Format
dc.type	Dataset