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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics
Triwiyanto Triwiyanto
Poltekkes Kemenkes Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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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%.
Low-cost and open-source anthropomorphic prosthetics hand using linear actuators Triwiyanto Triwiyanto; I Putu Alit Pawana; Torib Hamzah; Sari Luthfiyah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14799

Abstract

A robust, low cost, open-source, and low power consumption in the research of prosthetics hand is essential. The purpose of this study is to develop a low-cost, open-source anthropomorphic prosthetics hand using linear actuator based on electromyography (EMG) signal control. The main advantages of this proposed method are the low-cost, lightweight and simplicity of controlling the prosthetic hand using only single channel. This is achieved by evaluating the DC motor and exploring number of locations of the EMG signal. The development of prosthetics hand consists of 3D anthropomorphic hand design, active electrodes, microcontroller, and linear actuator. The active electrodes recorded the EMG signal from extensor carpi radialis longus. The built-in EMG amplifier on the electrode amplified the EMG signal. Further, the A/D converter in the Arduino microcontroller converted the analog signal into digital. A filtering process consisted of bandpass and notch filter was performed before it used as a control signal. The linear actuator controlled each finger for flexion and extension motion. In the assessment of the design, the prosthetic hand capable of grasping ten objects. In this study, the cost and weight of the prosthetics hand are 471.99 US$ and 0.531 kg, respectively. This study has demonstrated the design of low cost and open-source of prosthetics hand with reasonable cost and lightweight. Furthermore, this development could be applied to amputee subjects.
Embedded system for upper-limb exoskeleton based on electromyography control Triwiyanto Triwiyanto; I Putu Alit Pawana; Bambang Guruh Irianto; Tri Bowo Indrato; I Dewa Gede Hari Wisana
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.11670

Abstract

A major problem in an exoskeleton based on electromyography (EMG) control with pattern recognition-based is the need for more time to train and to calibrate the system in order able to adapt for different subjects and variable. Unfortunately, the implementation of the joint prediction on an embedded system for the exoskeleton based on the EMG control with non-pattern recognition-based is very rare. Therefore, this study presents an implementation of elbow-joint angle prediction on an embedded system to control an upper limb exoskeleton based on the EMG signal. The architecture of the system consisted of a bio-amplifier, an embedded ARMSTM32F429 microcontroller, and an exoskeleton unit driven by a servo motor. The elbow joint angle was predicted based on the EMG signal that is generated from biceps. The predicted angle was obtained by extracting the EMG signal using a zero-crossing feature and filtering the EMG feature using a Butterworth low pass filter. This study found that the range of root mean square error and correlation coefficients are 8°-16° and 0.94-0.99, respectively which suggest that the predicted angle is close to the desired angle and there is a high relationship between the predicted angle and the desired angle.
Development of Incubator Analyzer Based on Computer with Temperature And Humidity Parameters Syarifatul Ainiyah; Dwi Herry Andayani; Andjar Pundji; Triwiyanto Triwiyanto; M Shaib
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v2i2.3

Abstract

By opening and closing an infant incubator window during calibration, it can cause temperature leaks, such as a decrease in the incubator temperature. The purpose of this study is to develop an incubator analyzer, in which the data can be recorded to a computer for temperature and humidity parameters based on Bluetooth communication. Whereas for a non-computer displayed, the information is shown on a 20x4 LCD with SD Card storage. The contribution of this study is to calibrate baby incubators without a decrease in temperature, and also, the system can monitor the data collection at a maximum distance of 10 meters. In order to avoid decreasing in temperature, the module is displayed on the Personal Computer and storage on the SD Card. Incubator Analyzer is designed to simplify and facilitate calibration with temperature parameters at 5 points using a DS18B20 sensor, mat temperature using a K type thermocouple and humidity using a DHT22 sensor. In the temperature setting of 34 C and 36 C, the average error result is -4.87% for DS18B20, -7.39% error for mattress temperature, and -24.80% for humidity sensor. Data generated from comparisons using the INCU II test conclude that the measurement results between modules and standard devices have significant differences in values. The results of this study can be implemented on baby incubators to increase the appropriateness of the device.
Measurement of Vital Signs Respiratory Rate Based on Non Contact Techniques Using Thermal Camera & Web Camera with Facial Recognition Raden Duta Ikrar Abadi; Endro Yulianto; Triwiyanto Triwiyanto; Sandeep Kumar Gupta; Vugar Abdullayev
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i2.3

Abstract

Examination of the respiratory rate is included in the calculation of vital sign parameters used by the medical team to determine whether a person's condition is good or not. Researchers want to develop a method of checking the respiratory rate that is easy to use by the general public and can display fast and precise results. During this pandemic, we are forced to reduce direct human-to-human contact with the aim of suppressing the exchange of viruses. From this condition, the researcher wants to develop a measuring instrument to measure the respiratory frequency with the non-contact method. This method is expected to reduce direct contact between humans and still get the results of the respiratory rate value which can be used as a parameter to determine a person's condition. To get the value of the respiratory rate, researchers have an idea by monitoring changes in temperature using a thermal camera. For the respiratory rate parameter, the researcher observed the nose area by detecting changes in expiratory and inspiration temperatures and then calculating the respiratory rate. To get these results, the researcher uses a method of detecting the face area or called face recognition and then detecting the ROI point in the area of interest in the nose area. In observing the respiratory rate, the temperature value during expiration is 31.05 °C while at the time of inspiration is 30.01 °C. This temperature difference will be carried out in the process of calculating the respiration rate value by the system made by the researcher. In the results of this study, it was found that the respiration rate module can be used as a reference with a normal use range of 60-120 cm with an error value of 1% if the distance is above 100 cm, then the results of this study are that this research can be implemented on a breathing frequency measuring instrument with a non-standard method. - contact
Design of Force Meter for Traction Unit Gita Aprilyana; Endang Dian Setioningsih; Triwiyanto Triwiyanto
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.v1i2.2

Abstract

Force gauge is an instrument used to measure the force on the traction unit. The purpose of this study is made a force gauge meter which used during traction operation. The main component of this force gauge meter is Atmega 328, HX711 module and Loadcell type S sensor. The mikrokontroller Atmega 328 is the main board. Loadcell type S used to detect the force of traction, and the module HX711 is used to amplify the output of the loadcell sensor. In this study, the measurements were performed in the hospital. The error of this design is 0.01% and 4.8% for minimum and maximum, respectively. The force gauge designed portable and comes with a battery indicator.
Measurement of Heart Rate, and Body Temperature Based on Android Platform Musyahadah Arum Pertiwi; I Dewa Gede Hari Wisana; Triwiyanto Triwiyanto; Sasivimon Sukaphat
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 1 (2020): February
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.v2i1.6

Abstract

Heart rate and body temperature can be used to determine the vital signs of humans. Heart rate and body temperature are two important parameters used by paramedics to determine the physical health condition and mental condition of a person. Because if your heart rate or body temperature is not normal then you need to make further efforts to avoid things that are not desirable. The purpose of this study is to design a heart rate and body temperature. In this study, the heart rate is detected using a finger sensor which placed on the finger. This sensor detects the heart rate pulses through infrared absorption of blood hemoglobin, and measure the body temperature using a DS18B20 temperature sensor which is placed axially. DS18B20 sensor works by converting temperature into digital data. The measurement results will be displayed on liquid crystal display (LCD) 2 x 16 and the data will be sent to android mobile phone via Bluetooth. After the comparision beetwen the desain and the standart, the error is 0.46% for beats per minutes (BPM) parameters and 0.31 degrees Celsius for temperature parameters.
Measuring Respiration Rate Via Android Shofiyah Shofiyah; I Dewa Gede Hari Wisana; Triwiyanto Triwiyanto; Sari Luthfiyah
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (733.523 KB) | DOI: 10.35882/ijeeemi.v1i1.4

Abstract

Abstract-Respiratory rate is the total number of breath or breathing cycle, which occurs every minute. Abnormal respiratory rate is a sensitive indicator for danger patients requiring medical treatment immediately. The objective of the study is to design respiration rate monitor via Anroid mobile phone. In this study, we used flex sensors to detect the respiration rate. The flex sensors was placed in the human stomach diaphragm which detects the changes in the human stomach diaphragm during breathing. The measurement results are displayed on the liquid crystal display (LCD) 2 x 16. The data will be sent via a Bluetooth connection to the android to display the values ​​and graphs. The comparison between the design and standart showed that the maximum erros is 4.69% while the minimum error is 1.52%. The average error for all measurement is 2.83%. It can be concluded that the tool wear is eligible because it is still below the minimum threshold of 10% error.
Alat Ukur Berat untuk Pengujian Status Gizi Balita dengan Metode Anthropometry Kinanti Elok Putri; Triwiyanto Triwiyanto; Triana Rahmawati; Lamidi Lamidi
Jurnal Teknokes Vol 13 No 1 (2020): April
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Masa anak balita merupakan kelompok yang rentan mengalami kurang gizi salah satunya adalah stunting. Stunting menggambarkan status gizi kurang yang bersifat kronik pada masa pertumbuhan dan perkembangan sejak awal kehidupan. Masalah gizi terutama stunting pada balita dapat menghambat perkembangan anak. Tujuan penelitian ini adalah merancang alat ukur berat dan tinggi badan dilengkapi penilaian status gizi balita, tujuan menentukan penilaian status gizi adalah apabila terjadi penyimpangan status gizi pada balita dapat segera diberi tindakan agar kondisi balita tidak memburuk. Kontribusi penelitian ini adalah mengukur berat dan tinggi badan balita, dari data berat dan tinggi badan tersebut dapat diketahui status gizi pada balita. Agar dapat mengetahui penilaian status gizi balita, dasar utama dalam penelitian ini menggunakan metode Antropometri. Penulis ingin membuat sebuah modul yang digunakan untuk melakukan pengukuran pada balita dengan parameter tinggi badan. Dalam perancangannya, modul ini menggunakan Arduino sebagai pengontrol utama. Sensor yang digunakan adalah variabel resistor (potensiometer) yang berfungsi untuk mendeteksi tinggi badan balita lalu dikirim oleh modul bluetooth HC-05 ke PC untuk dilakukan pembacaan dan hasilnya ditampilan dalam bentuk penilaian status gizi. Berdasarkan hasil pengukuran tinggi badan balita pada modul diperoleh error maksimal sebesar 0.35 % dan rata-rata errornya sebesar 0.093%. Alat ini dapat diimplementasikan pada pemantauan pertumbuhan berat dan tinggi balita.
Improved Heart Rate Measurement Accuracy by Reducing Artifact Noise from Finger Sensors Using Digital Filters Anita Miftahul Maghfiroh; Liliek Soetjiatie; Bambang Guruh Irianto; Triwiyanto Triwiyanto; Achmad Rizal; Nuril Hidayanti
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.v4i2.4

Abstract

Heart rate is an important indicator in the health sector that can be used as an effective and rapid evaluation to determine the health status of the body. Motion or noise artifacts, power line interference, low amplitude PPG, and signal noise are all issues that might arise when measuring heart rate. This study aims to develop a digital filter that reduces noise artifacts on the finger sensor to improve heart rate measurement accuracy. Adaptive LMS and Butterworth are the two types of digital filters used in this research. In this study, data were collected from the patient while he or she was calm and moving around. In this research, the Nellcor finger sensor was employed to assess the blood flow in the fingers. The heart rate sensor will detect any changes in heart rate, and the measurement results will be presented on a personal computer (PC) as signals and heart rate values. The results of this investigation showed that utilizing an adaptive LMS filter and a Butterworth low pass filter with a cut-off frequency of 6Hz, order 4, and a sampling frequency of 1000Hz, with the Butterworth filter producing the least error value of 7.57 and adaptive LMS maximum error value of 27.65 as predicted by the researcher to eliminate noise artifacts. This research could be applied to other healthcare equipment systems that are being monitored to increase patient measurement accuracy.
Co-Authors A K M Bellal Hossain Abhilash Pati Achmad Rizal Andi Fathkur Rohman Andjar Pundji Anita Miftahul Maghfiroh Arifah Putri Caesaria Bahaa Eddine ELBAGHAZAOUI Bambang Guruh Irianto Dwi Herry Andayani Dyah Titisari Endang Dian Setioningsih Endro Yulianto Faheem Ahmad Reegu Gita Aprilyana I Dewa Gede Hari Wisana Indrato, Tri Bowo Kinanti Elok Putri Lamidi Lamidi Lamidi, Lamidi Liliek Soetjiatie Lusiana Lusiana Luthfiyah, Sari M Shaib Moch Sahrul Triandi Putra Sahrul Muhammad Fauzi Muhammad Ridha Mak'ruf Musyahadah Arum Pertiwi Nindia Rena Saputri Nuril Hidayanti Pawana, I Putu Alit Phuoc-Hai Huynh Raden Duta Ikrar Abadi Sandeep Kumar Gupta Sari Luthfiyah Sari Luthfiyah Sasivimon Sukaphat Shofiyah Shofiyah Syarifatul Ainiyah Torib Hamzah Torib Hamzah Triana Rahmawati Utomo, Bedjo Vijay Anant Athavale Vishwajeet Shankhwar Vugar Abdullayev Wahyu Caesarendra