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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Journal of Applied Science, Engineering and Technology (J. ASET)
Karnadi, Juan
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Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Development of a Low-cost Arduino-based Patient Monitoring System for Heartrate, Oxygen Saturation and Body Temperature Parameters Karnadi, Juan; Roihan, Ibnu; Ekadiyanto, Astha; Koestoer, R A
Journal of Applied Science, Engineering and Technology Vol. 1 No. 1 (2021): June
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.53 KB) | DOI: 10.47355/aset.v1i1.15

Abstract

The implementation of Patient Monitor (PM) in ICU, ICCU, PICU and NICU currently imposes a significantly high cost of investment. According to studies conducted, there are three main parameters required to be measured, which are heartrate (BPM), oxygen saturation (SPO2) and body temperature (T). These are highly needed by the medical personnel to monitor in order to determine patient’s vital state. The low-cost patient monitor prototype (named Patient Monitor 3 Parameters or PM3P) was developed using Arduino platform. In order to measure the parameters, two types of sensor modules were chosen, namely MAX30100 for gathering heartrate and oxygen saturation data and DS18B20 for gathering the body temperature data. The prototyping process also included fixation and finalization of electrical circuit on a printed circuit board (PCB). The PM3P underwent extensive validation process by comparing it to the real industrial PM made by healthcare equipment industry. The comparison was done over data gathered by both system that were conducting the same measurement runs in parallel. Results of validation indicates that the low-cost patient monitor prototype has a slight error of 0,31% for heartrate and 1,59% for oxygen saturation compared to the industrial one. Further improvements for the Arduino based PM3P are also proposed in this paper in order to enhance its reading accuracy, namely calibration.
Diagnostic Risk Percentage Based on Vital Signs Readings on Health Monitoring Devices Karnadi, Juan; Hardian, Bob
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i7.16938

Abstract

The development of the field of health technology has progressed rapidly - especially in the aspect of being connected to the Internet and also allowing the storage and monitoring of vital signs data utilizing IoT features. However, there is no health monitoring that contains advanced check-up analysis referring to the acquisition of vital signs data that has been stored in the health data record. This is exactly where additional parameters beyond the vital signs have not been integrated in health monitoring. The purpose of this independent research is to find a gap between industry and academia in the form of additional parameters that are not yet available in the industrial world. The additional parameter is the percentage value of health diagnostic risk. The selection of this parameter is based on the need to analyze the level of diagnostic risk through the acquisition of vital signs that have available readings in health monitoring device equipment. The algorithm mechanism itself revolves around mapping for the diagnosis of health conditions referring to the normal limits of vital signs utilizing the decision tree algorithm. The goal is none other than to simplify the flow in determining the patient's advanced health diagnosis. Regarding the diagnostic risk percentage parameter, the diagnosis and calculation include five vital signs that are the main indicators: heart rate, oxygen saturation (SPO2), body temperature (TBody) supplemented with skin temperature (TSkin), and respiratory rate.
Co-Authors Ekadiyanto, Astha Hardian, Bob Koestoer, R A Roihan, Ibnu