The Design of Digital Heart Rate Meter Using Microcontroller

Tunggal, Tatiya Padang; Juliani, Shela Asta; Widodo, Hendro Agus; Atmoko, Rachmad Andri; Nguyen, Phong Thanh

doi:10.18196/jrc.1529

Cited by 9 publications

(5 citation statements)

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“…Additionally, incorporating additional features that promote ease of use can significantly improve the user experience and alleviate the challenges faced by wheelchair users, ultimately uplifting their well-being. There are many health monitoring research works conducted by many researchers in many countries [44], [45], [74], [75], [76].…”

Section: Research Gapmentioning

confidence: 99%

Revolutionizing Accessibility: Smart Wheelchair Robot and Mobile Application for Mobility, Assistance, and Home Management

Jayasekara,

Kulathunge,

Premaratne

et al. 2023

Journal of Robotics and Control

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This research aims to advance accessibility and inclusivity for individuals with disabilities. We focus on specific daily challenges facing people with disabilities in communication, mobility, and daily task management and introduce AssistEase, a groundbreaking smart wheelchair solution designed to empower people with disabilities by improving mobility, communication capabilities, and daily task management. AssistEase will contribute to the disabled community around the world by allowing them to manage daily tasks and communicate more easily while ensuring mobility. AssistEase offers control options such as handsfree voice control, traditional manual control, smartphone-based Bluetooth control, or innovative gesture control, designed to cater to different user preferences and needs. This uses technologies such as speech recognition, computer vision, and haptic [92] feedback to help users navigate safely while avoiding obstacles. It integrates technologies like Flutter, TensorFlow, YOLOV8, Global Positioning System (GPS), Bluetooth, and Apple Home Kit, along with hardware components including Arduino and Raspberry PI. Preliminary trials have shown improvements in mobility, communication, and daily tasks for users in need. It achieves 95% precision in guiding wheelchair users while maintaining about 90% accuracy for the robotic arm and 89% for health monitoring and location tracking. Also, it provides a user-friendly app with 90% control accuracy. The communication device has 92% accuracy in facilitating user communication, while hand gesture control achieves 90% accuracy. To advance AssistEase smart wheelchair technology, further research, and development are required to enhance its adaptability for specific disabilities. AssistEase reflects a commitment to creating a more inclusive and thriving society, focusing on innovation and inclusion for individuals of all abilities.

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Section: Research Gapmentioning

confidence: 99%

Revolutionizing Accessibility: Smart Wheelchair Robot and Mobile Application for Mobility, Assistance, and Home Management

Jayasekara,

Kulathunge,

Premaratne

et al. 2023

Journal of Robotics and Control

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“…All sensor readings are regulated by the Arduino microcontroller board to execute user's command created on the computer [17], [18]. It is also used as the core for measuring the vital signs of the user's since its specifications are suitable for real-time processing [19], [20]. Microcontroller boards such as Arduino have also been widely used for instrumentations and control applications in the medical field [21]- [30].…”

Section: System Designmentioning

confidence: 99%

The application of instrumentation system on a contactless robotic triage assistant to detect early transmission on a COVID-19 suspect

Hidayat

Megantoro

Yurianta

et al. 2021

IJEECS

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<p>This article discusses the instrumentation system of airlangga robotic triage assistant version 1 (ARTA-1), a robot used as a contact-free triage assistant for Coronavirus disease (COVID-19) suspects. The triage process consists of automatic vital signs check-up as well as the suspect’s anamnesis that in turns will determine whether the suspect will get a specific care or not. Measurements of a suspect’s vital conditions, i.e. temperature, height, and weight, are carried out with sensors integrated with the Arduino boards, while a touch-free, hand gesture questions and answers is carried out to complete anamnesis process. A portable document format (PDF) format of the triage report, which recommends what to do to the suspect, will then be automatically generated and emailed to a designated medical staff.</p>

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“…The purpose of this monitoring system is to detect abnormalities in heart rhythm and heart muscle [2]. The heart cycle works through a mechanism repeatedly and continuously, otherwise called a heartbeat [3]. Cyclically, the heart performs a systolic period, a period when the heart contracts and empties its contents (blood), and a diastole period, a period of relaxation that fills the heart with blood.…”

Section: Introductionmentioning

confidence: 99%

“…The impact of the IoT on the progress of the healthcare industry is enormous, especially in the 4.0 era, where the development of healthcare applications has been carried out using both software and hardware. In principle, the IoT base can be connected to all medical equipment [3], [12], especially ECG equipment, which is usually used conventionally because its use requires high costs, both equipment and usage time. Therefore, the development of it makes it easier, to access it and perform image analysis [13].…”

Section: Introductionmentioning

confidence: 99%

IoT-based health information system using MitApp for abnormal electrocardiogram signal monitoring

Utomo,

Triwiyanto,

Luthfiyah

et al. 2024

Bulletin EEI

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Information systems are currently developing very rapidly, and this is inseparable from the role of internet of things (IoT) technology, especially in the world of telemedicine. MitApp is an open-source application that can be used to monitor electrocardiogram (ECG) signals in real-time. The aim of this study is to develop an IoT-based ECG signal monitoring system that utilizes the MitApp application to detect abnormal ECG signals that are characterized by symptoms of cardiac arrhythmias. To process ECG signal data obtained from lead electrode results, the research method utilizes Arduino Uno as a microcontroller. The result is then displayed on the thin film transistor (TFT) layer using the Nextion module. The ESP32 module is used as a Wi-Fi module to send data to the MitApp app on a smartphone. The results showed that the results of the comparison test of ECG signal module data with ECG simulator tools with beats per minute values of 60, 80, 100, 120, and 140 obtained an error rate of 0.05. Based on these results, there is potential to develop this feature and integrate the system with the patient management system to improve the effectiveness of remote monitoring.

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The Design of Digital Heart Rate Meter Using Microcontroller

Cited by 9 publications

References 0 publications

Revolutionizing Accessibility: Smart Wheelchair Robot and Mobile Application for Mobility, Assistance, and Home Management

Revolutionizing Accessibility: Smart Wheelchair Robot and Mobile Application for Mobility, Assistance, and Home Management

The application of instrumentation system on a contactless robotic triage assistant to detect early transmission on a COVID-19 suspect

IoT-based health information system using MitApp for abnormal electrocardiogram signal monitoring

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