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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 Indonesian Journal of Electrical Engineering and Computer Science Jurnal INFOTEL Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Bambang Guruh Irianto
Poltekkes Kemenkes Surabaya
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Materials Science & Nanotechnology Nursing Other

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Journal : telkomnika telecommunication computing electronics and control

 1 
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.
A low-cost electro-cardiograph machine equipped with sensitivity and paper speed option Bambang Guruh Irianto; Budhiaji Budhiaji; Dwi Herry Andayani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.8558

Abstract

The price of electrocardiograph (ECG) machine on the market is very high. Currently, the technology used is still very complicated and ineffective, and the ECG machine cannot be connected to other devices. A new development of a low-cost ECG machine with a customized design was needed to integrate the machine with other devices. Therefore, the purpose of this study is to develop a low-cost ECG machine which can be connected to other devices and equipped with sensitivity and paper speed setting. So that portable ECG machines can be produced and used at small clinics in the society. In this study, the main controller of the 12 channels ECG machines was supported by ATMEGA16 microcontroller, that is available on the market at low prices. The main part of the ECG amplifier is built using a high common mode rejection ratio (CMRR) instrumentation amplifier (AD620) and a bandpass filter which the cutoff frequency for highpass filter and lowpass filter are 0.05 Hz and 100 Hz, respectively. In order to complement the previous study, some features were introduced such as selectivity and motor speed option. In this study, 10 participants are involved for data acquisition,and an ECG phantom was used to calibrate the machine. The performance of the ECG machine was evaluated using standard measurement namely relative percentage error (% error) and uncertainty (UA). The result shows that %error from all of the feature is less than 2% and the UA is 0.0 which shows that the ECG machine is feasible for diagnostic purposes.
Low-cost central monitor based personal computer with electrocardiogram and heart rate parameters via wireless XBee Pro Bambang Guruh Irianto; Anita Miftahul Maghfiroh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 4: August 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i4.21474

Abstract

Heart rate signals and electrocardiograms are crucial indicators of a person’s health, particularly for individuals in intensive care units (ICU). The goal of this study is to wirelessly use a central monitoring system to continually and in real-time monitor the electrocardiogram signal and heart rate. The result of this research is that a wireless system can transmit continuous, distant, and real-time electrocardiogram and heart rate readings. Two transmitters and two receivers were used to send the signal in real-time. Lead II was used to capture the electrocardiogram (ECG) data, which was then processed by a microprocessor to determine the heart rate in beats per minute. The XBee Pro wireless was then used to transmit the data to the monitor in the form of an electrocardiogram and heart rate signal. The results of the XBee wireless performance test with statistics for determining heart rate value revealed that there was no discernible difference in the average value at a distance of 8, 10, 25, and 30 meters (P-value > 0.05). According to the study’s findings, wireless transmission is feasible over a limited distance and in real-time. Hospitals can use a central monitor to implement this research.
Telemedicine-based baby incubator system with DWT method to detect respiratory rate from electrocardiogram signals Bambang Guruh Irianto; Anita Miftahul Maghfiroh; Mohamad Sofie; Yuni Kusmiati; Abd. Kholiq
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 6: December 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i6.26048

Abstract

This pioneering research introduces a telemedicine-based baby incubator designed to accurately monitor premature babies’ electrical heart signals and respiratory rates. The research aims to monitor premature babies, especially those related to heart and respiratory problems. This research combines telemedicine technology with the discrete wavelet transform (DWT) method to obtain respiratory rate values from electrocardiogram (ECG) signal leads directly. This research contribution can be used for simultaneous and non-invasive monitoring of heart electrical signals and respiratory rate. By leveraging existing telemedicine infrastructure, this incubator enables real-time monitoring. Using a data-driven approach with premature babies as subjects, respiratory signals are captured using sensitive sensors and analyzed via the DWT method. The results show that the accuracy of this telemedicine-based incubator is superior in monitoring respiratory rate compared to conventional methods with a P-value>0.05. This study confirms the effectiveness of DWT-based telemedicine incubators in monitoring the breathing of premature babies, thereby offering superior performance compared to traditional methods. The implications resulting from this research as a whole, this telemedicine-based baby incubator marks a significant advancement in the care of premature babies, ensuring precise and real-time breathing monitoring.
Co-Authors ., Sumber Aamir, Hafsa Abdul Kholik Abdul Kholiq Abdul Kholiq Abdul Rahman Abdulhamid, Mohanad Abhishek Mishra Achmad Rizal Achmad Rizal Adam, Madeha Ishag Ade Ryan Endarta Agus Susilo Wibowo Ahmad Fanani Ahmad Fanani Andayani, Dwi Herry Andjar Pudji Anggraini, Navira Anita Miftahul Maghfiroh Bahaa Eddine ELBAGHAZAOUI Budhiaji Budhiaji Budhiaji Budhiaji Candra Prastyadi Dwi Herry Andayani Dwi Herry Andayani Dwi Herry Andayani Dyah Purwitosari Dyah Titisari, Dyah Elbaghazaoui, Bahaa Eddine Elmira Rofida Al Haq Endarta, Ade Ryan Endro Yulianto Fadilla Putri Devito Nur Azizah Fahmi Ardhi Fahrudin Y., Muhamad Faiz Nafi'u Pradana, Much Fathul Huda Forra Wakidi, Levana Fransiska Ima Setia Ningsih Fuadi, Rifky Maulana Gumiwang, Her Hafsa Aamir Hamzah, Thorib Hanna Firdaus Her Gumiwang Ariswati Herry Andayani Hidayanti, Nuril Huynh, and Phuoc-Hai Huynh, Phuoc-Hai I Dewa Gede Hari Wisana I KOMANG YOGI MAHARDIKA Indrato, Tri Bowo Jing Lu Kholiq, Abd KHOLIQ, ABD. Kumbhare, Ashish Lamidi, Lamidi Liliek Soetjiatie Lusiana Lusiana Luthfiyah, Sari M. Yogi Riyantama Isjoni Madeha Ishag Adam Maghfiroh, Anita Mifthahul Mahardika, Melva Mansour Asghari Mifthahul Maghfiroh, Anita Mishra , Abhishek Misra, Shubhrojit Mohamad Ridha Mak'ruf Mohamad Sofie Mohanad Abdulhamid Much Faiz Nafi'u Pradana Mufarid, Muhammad Nezar Abdullah Muflih Ridwan, Muhamad Muhamad Muflih Ridwan Muhammad Amir Maruf Muhammad Fauzi Muhammad Fuad Nurillah Muhammad Iqbal Muhammad Jundi Al'Aziz Muhammad Nezar Abdullah Mufarid Mukhamad Ryan Nur Rokhman Ningsih, Fransiska Ima Setia Nora Bouzeghaia Nuril Hidayanti Nyatte, Steyve P, Chandrasekaran Pawana, I Putu Alit Phuoc-Hai Huynh Prasetyo, Eko Dedi Prastawa Asalim Tetra Putra Prastyadi, Candra Purwitosari, Dyah Puspitasari, Dila Anggraeni Ramandani, Rifan Rathod, Yagnik Rifan Ramandani Rifky Maulana Fuadi Rizki Andriyanto Shankhwar, Vishwajeet Shubhrojit Misra Shubhrojit Misra Steyve Nyatte Syaifudin Syaifudin Syaifudin, Syaifudin Syevana Dita Musvika Tetra Putra, Moch Prastawa Assalim Torib Hamzah Triana Rahmawati Triwiyanto Triwiyanto Ulumiddiniyah, Bariroh Izzatul Vishwajeet Shankhwar Wibowo, Agus Susilo Yuni Kusmiati