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Patient Monitor for SpO2 and Temperature Parameters Moch Sahrul Triandi Putra Sahrul; Triwiyanto; Torib Hamzah
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 2 (2019): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v1i2.2

Abstract

Patient monitor is an apparatus used to monitor the patient's condition in real-time, hence the patient's physiological conditions can be identified at that time. The purpose of this study is to design a patient monitor for SpO2 and temperature parameters based on computer with Delphi progaming. In this work, the author developed patient monitor with two parameters (SpO2 and Temperature). The workings of this tool are very simple by installing the finger sensor on the finger and the temperature sensor in the armpit area will then be detected by the two sensors that will be displayed on the PC and LCD Characters, analog data from the ADC Atmega is received by the personal computer (PC) via Bluetooth HC -05 and values ​​per parameter are also displayed on the Character LCD. After measuring, get an error in the tool, the biggest SpO2 error of this tool is 1.02% and get the smallest error of 0.8%. And for the biggest error of Temperature of 1.02% and the smallest error of 0.8%.
Hand Grip Measure Tool Post-Stroke Patients Ria Ramadhani; Endang Dian Setioningsih; Torib Hamzah
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 2 (2019): November
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.3

Abstract

Handgrip Dynamometer is a tool used to view the strength of the hand muscles post-stroke patients. In this study Handgrip Dynamometer created to look at the hand grip strength in real time and find out the hand grip strength criteria, there are three indicators: the criteria of mild, moderate or strong. Handgrip dynamometer using the Arduino Uno control over the entire system and Load Cell as a sensor. Load Cell Output will be boosted by Analog Signal conditioner HX711 and then processed in the microcontroller, then will be displayed on the LCD. Berdasarlan weight measurement results obtained by the result of error by 0% By comparison to using weights, sehingga can be concluded that the tool can be used according to its function.