Farid Amrinsani
Department Of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya

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Low Cost Health Monitoring Sytem Based on Internet Of Things Using Email Notification I Dewa Gede Hari Wisana; Bedjo Utomo; Farid Amrinsani; Era Purwanto
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 3 No 2 (2021): May
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.v3i2.2

Abstract

Monitoring activities are needed if there are symptoms of a disease that require quick action so that the patient's condition does not get worse, for that we need a system that can notify doctors so they can take action. The patient monitoring system in hospitals is generally still carried out conventionally, among others, nurses or doctors come to the patient's room to check on the progress of the patient's condition, this will be a problem, if the number of medical personnel and facilities is insufficient to monitor. Patients who need special attention for patient care, such as monitoring the patient's breathing rate. The use of the internet of things (IOT), as a device that can work without the help of people, can perform tasks and provide easier and real time data, so that they can access output directly. The purpose of this research is to design an inexpensive health monitoring tool based on the Internet of Things (Respiration Parameters) using a piezoelectric sensor and an ESP32 Wi-Fi module. From the results of the module design taken from 10 respondents, obtained that the average measurement high accuracy (17.76 + 0.61) and the average level of stability of the design has a magnitude of 0.4 so that it can be concluded that using a piezoelectric sensor in this series can obtain good accuracy. This the design can be used to monitor a person's respiration in real-time
Identifikasi Sinyal Elektromiografi Otot Vastus Medialis dan Erector Spinae dalam Transisi Gerakan untuk Kontrol Robot Kaki Farid Amrinsani; Zainal Arief; Agus Indra Gunawan
INOVTEK POLBENG Vol 9, No 2 (2019): INOVTEK VOL.9 NO 2 - 2019
Publisher : POLITEKNIK NEGERI BENGKALIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.664 KB) | DOI: 10.35314/ip.v9i2.1011

Abstract

Kehilangan beberapa bagian tubuh dan kelemahan otot akibat cedera adalah faktor yang mengganggu aktivitas manusia sehari-hari. Konsep exoskeleton adalah pendekatan yang sangat positif bagi manusia dalam hal kerusakan pada tungkai bawah. Dalam studi ini, ekstremitas bawah selama gerakan jongkok ke berdiri, berdiri ke duduk, duduk ke berdiri, dan berdiri ke jongkok menjadi fokus dalam penelitian ini. Sinyal elektromiografi terdeteksi dari vastus medialis dan erector spinae. Enam responden terlibat dalam melakukan percobaan ini. Ada 2 tahap dalam percobaan ini. Pada tahap pertama, gunakan fitur ekstraksi domain waktu seperti MAV, MAD, dan RMS. Latensi 500 ms dengan waktu tumpang tindih 10 ms digunakan. Ambang digunakan untuk mendeteksi awal kontraksi otot 0,002 mV dan bagian akhir kontraksi otot 0,0015 mV. Data dalam ambang batas digunakan sebagai input dari jaringan saraf tiruan. Penggunaan python 2.7 jaringan syaraf tiruan dibuat dengan 240 input node, 80 hidden node, dan 4 output node. Data pergerakan dengan total 556 digunakan untuk melatih jaringan. Data pergerakan dengan total 160 digunakan untuk menguji jaringan. Sistem ini mampu menginterpretasikan gerakan sebenarnya dengan nilai persentase 84% dan nilai kesalahan 16%. Pada tahap kedua menggunakan metode yang sama, sistem diuji dengan responden yang berbeda. Data pergerakan dengan total 104 digunakan untuk menguji jaringan. Persentase keberhasilan sistem dalam menafsirkan gerakan adalah 59% dan nilai kesalahan 41%.
Infant Warmer with Digital Scales for Auto Adjustment PID Control Parameters Anita Miftahul Maghfiroh; Farid Amrinsani; Singgih Yudha Setiawan; Rafi Maulana Firmansyah; Shubhrojit Misra
Jurnal Teknokes Vol 15 No 2 (2022): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v15i2.246

Abstract

Babies need temperatures that match the temperature of the mother's womb, which is between 35°C – 37°C. The latest research on infant warmer device used fuzzy method as a system for controlling temperature in infant warmers. The problem raised in the previous research is that the temperature was not evenly distributed throughout the bed at each predetermined temperature setting. When it reached the setting temperature, the warmer continued to turn on so that the bed got hotter. Therefore, the purpose of the current research is to make an infant warmer device equipped with digital scales with a temperature setting of 350C- 370C using PID control to stabilize the temperature and ensure that the heat is evenly distributed on the bed. In addition, skin temperature is also added, allowing the nurses know at which level of patient's body temperature is when observations should be made. The infant warmer in this module used an arduino microcontroller which is displayed in 7 segments, the skin sensor used is the DS18B20 temperature sensor to read the skin temperature, while the infant warmer temperature sensor used is LM35 as a PID control system. The results of the current research in making the device module were compared with the measurement results of the comparator. It was revealed that current research has obtained smallest error of 0% in temperature setting of 350C. For the comparison with the incu analyzer, the smallest error was obtained at the temperature setting of 370C with an error value of 0% on the T5 measurement. Meanwhile, the difference in skin temperature against the thermometer is 0.10C. The results showed that the temperature distributed on the module had different error values. Hence, this research can be implemented on the PID control of infant warmer system to improve the performance of infant temperature stability.
Analysis of Changes in Flow Setting Against Rise Time Using Gas Board 7500E Sensor on Bubble CPAP Andjar Pudji; Farid Amrinsani; Sari Luthfiyah; Lusiana Lusiana; Shubhrojit Misra; Nur Hasanah Ahniar; Yenda Mita Barus; Lamidi Lamidi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): May
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.v4i2.8

Abstract

Respiratory distress in neonates is one of the biggest problems encountered on a daily basis. Respiratory distress looks like rapid breathing in a newborn. CPAP Bubble is the right treatment in this case. Rise time is the time for airway pressure to reach the maximum standard value. A fast time value can make it possible to bring the breath pressure to a standard level. This study aims to analyze changes in setting flow to rise time using a gasboard sensor 7500E on a CPAP bubble device. The main advantage of this proposed method is that the results are displayed in the form of graphics, portable and there is data storage. This design uses a Gasboard 7500E sensor as a detector of oxygen concentration, a TFT LCD as a graphic display and an SD Card as data storage. The data collection is in the form of the average rise time of oxygen concentration followed by changes in its rate. Data were taken five times with three different CPAPs. The results showed that the increase in the rate affect the rise time of the CPAP oxygen concentration.
Comparison of two Wireless Electromyography Sensor Module Designs using wet electrodes and dry electrodes at the time of Sitting motion to stand Farid Amrinsani; Levana Forra Wakidi; Made Dwi Pandya Suryanta; Dessy Tri Wulandari; Wahyu Caesarendra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): 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.v4i4.249

Abstract

One of the biosignals used to identify muscle signals in humans is electromyography. Electromyography signals are frequently utilized as input and are designed to aid in post-stroke therapy recovery or to assist people with disabilities. This phenomena has led to the development of numerous electromyography module sensor designs for use in support of various research-based applications. In this study, an electromyography sensor module without an electrode cable is compared to an electromyography sensor module that uses gel electrodes, plate electrodes, electrode cables, and other electrode technologies. A function generator is used to test each module, and the correlation value is sought to determine the connection between the two modules under consideration. Later, the findings of this study served as the foundation for other studies. Researchers also wish to explore the possibility of developing an electromyography sensor module by altering the wireless EMG sensor module's structure and design. Whereas this study can subsequently be extremely helpful to improve the standing of the Health Poltekkes Kemenkes Surabaya.
Detection Signal Electromyograpy using Dry Electrode and Disposible Electrodes on the Upper Extremity when Lifting Weights Farid Amrinsani; Levana Forra Wakidi; Made Dwi Pandya Suryanta; Dessy Tri Wulandari; Muhammad Tariq Sadiq
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): 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.v4i4.252

Abstract

One of the biosignals used to identify human muscle impulses is electromyography. Electromyographic signals are frequently utilized as inputs and are designed to help persons with disabilities or aid in the healing process following stroke therapy. According to studies, this occurrence has led to the development of numerous electromyography module sensor designs to meet different purposes. In this work, disposable electrodes and dry electrodes are used to examine the root mean square RMS values of two different electromyography sensor module types. With a 3 kg barber lift action, each module is used to detect signals in the biceps, which are part of the upper extremity muscles. According to the study's findings, the two electromyography modules with disposable electrodes produced data with a p-value of 0.001766368 0.05. It can be inferred that there is no difference between the E1 and E2 modules because the p-value for the t-test of the two modules with dry electrodes is 0.001766368 0.05. However, there is a variance in the amplitude's magnitude, with a difference of 30mV between the disposable and dry electrodes. The results of this study can be used to teach students, and a module developed as a result of it can be applied to other studies to help find electromyographic signals.