scholarly journals Sistem Monitoring Frekuensi Denyut Nadi pada Pelari Menggunakan Metode Photoplethysmographic

2021 ◽  
Vol 8 (6) ◽  
pp. 1255
Author(s):  
Asih Setiarini ◽  
Mahatma Widya Laksana ◽  
Basuki Winarno

<p class="Abstract">Lari merupakan olahraga yang efektif untuk membakar kalori. Namun, olahraga ini mempunyai dampak negatif bagi pelari yang mampu memicu serangan jantung sehingga dibutuhkan alat kesehatan untuk mendeteksi frekuensi denyut nadi saat berlari. Tujuan penelitian ini merancang sistem monitoring frekuensi denyut nadi secara real time pada pelari dengan menggunakan easily plugin pulse sensor berbasis photoplethysmographic. Sensor tersebut terdiri atas transmitter dan receiver infrared yang dipasang pada ujung jari tengah yang mana melalui jaringan kulit mampu mendeteksi volume darah. Fitur buzzer digunakan sebagai alarm jika denyut jantung mencapai 170 Beat Per Minute (BPM). Alat ini juga dilengkapi dengan aplikasi Android yang memudahkan pihak lain memonitoring keadaan denyut nadi pelari. Bluetooth HC-05 sebagai modul komunikasi data antara Arduino dan Android. Alat yang dirancang memiliki error maksimum sebesar 0,73% berdasarkan data percobaan dari 5 partisipan. Berdasarkan hasil pengujian, sistem monitoring frekuensi denyut nadi secara real time mampu mendeteksi serangan jantung saat berlari dan adanya fitur data logger digunakan untuk rekap medis keadaan frekuensi denyut jantung saat berlari tanpa menggunakan aplikasi smartphone Android.</p><p class="Abstract"> </p><p class="Abstract"><em><strong>Abstract</strong></em></p><p class="Judul2"><em>Running is the most popular workout around the world, because the most accessible, the cheapest and organized sport. However, running is dangerous in people suffering from heart disease. Hence, the medical device to detect heart failure for runners is required. In this paper, a monitoring system and data logger for detecting heart pulse by using easily plugin pulse sensor heart beat and its implementation for runners is newly proposed. The proposed method of sensor to detect the heart beat by using Photoplesthymograph principle. The sensor consists of transmitter and receiver infrared through to skin tissue to detect the blood volume. Different to previous work, the proposed device can be real time to monitor runners while running and have alarm when their heart beat reach 170 BPM. This device is also equipped with an Android application that facilitate other parties to monitor the runner’s heart beat. By using OMRON HEM-7203 as comparison devices, the rate error of measurement result is 0,086% within 5 participans. The proposed device is suitable for heart pulse monitoring system for runners in real time to reduce the heart attack while running.</em><em> </em></p><p class="Abstract"><em><strong><br /></strong></em></p>

2019 ◽  
Vol 7 (1) ◽  
pp. 5-10
Author(s):  
Saman Shahid ◽  
Saima Zafar ◽  
Mansoor Imam ◽  
Muhammad Usman Chishtee ◽  
Haris Ehsan

There is an increased prevalence of heart diseases in developing countries and continuous monitoring of heart beats is very much important to reduce hospital visits, health costs and complications. The Internet of Things (IoT) equipped with microcontrollers and sensors can give an easy and cost-effective remote health monitoring. We developed a Heart Beat monitoring module based on an android application. The software involved was the Android Application developed using Android Studio, which is the Integrated Development Environment (IDE). This app retrieved the data from the open IoT platform thingspeak.com. A highly sensitive Pulse Sensor was used to measure the heartbeat of the patient automatically. An Arduino Uno microcontroller interfaced with a Wi-Fi module ESP8266 used to transmit pulse reading over the internet using Wi-Fi. The heartbeat was displayed on the LCD of the patient in run-time. The heartbeat in beats per minute (BPM) was plotted against time (minutes). A mounted pulse sensor to the patient had monitored the heartbeat and transmitted it in the form of voltage signal to the microcontroller, which converted it back into a mathematical value. The Arduino transmitted the data onto the thingspeak.com portal, where it was plotted on a graph and the values were stored for future assessment. The user of the app was given a things peak API and the channel number as an access code, through which physician or nurse can accessed the patient’s data. IoT based heartbeat module as an android application can provide a convenient, cost effective and continuous remote measurements for heart patients to help physicians and nurses update. This app can reduce the burden of hospital visits or admissions for elderly patients.


2014 ◽  
Vol 624 ◽  
pp. 647-650
Author(s):  
Hong Mei Cao

Large span bridges are very important infrastructure of the nations. The enormous investment and significance in state economy make them get more and more recognition. At present, the technology of the safety monitoring of bridges is becoming a hotspot in both academic and engineering field. Now, safety monitoring systems of the structures have been applied to many large bridges in the world. Among all these parameters which can indicate the safety status of bridges, the deflection is indispensable. Although there are lots of sensors now used to measure the degrees of the deflection, it is still very scarce that the sensors can be made for long-distance, real-time and automatic online completely. The photo-electricity and liquid level deflection sensors (PLLD) introduced here are cheaper and of better-automaticity and higher precision and can work online continuously without contact. This paper will show the structure, performance and theory of our new sensor based on ARM7 in detail. In the end, a concrete application instance in XiaoGou bridge of ShanXi province will be given.


2018 ◽  
Vol 7 (2.25) ◽  
pp. 83
Author(s):  
Umashankar G ◽  
Bethanney Janney ◽  
Sindu Divakaran ◽  
Meera G ◽  
Rima Datta ◽  
...  

With the advancement of the medical industry the death rates of the premature newborn infants have been brought under control. Even after the advancements in technology, there is a need for instrument health care interactions due to varied reasons. This aproach discusses about the development of wireless transmission of oral feeding disorder with the help of flow sensor, sound sensor and EMG sensor for the early intervention of the any oral feeding difficulties in the child. The flow sensor is used for sucking and sound sensor is used to detect the swallowing sound and EMG sensor is used to record the muscular activities of the premature infants. And then, the temperature sensor, BP sensor and heart beat sensor will display the values of the premature infants through LCD. In sensing unit, ARM7 (LPC2148) microcontroller is used to program and work the circuit. In software requirements, Keil compiler and embedded C language is used. Zigbee is used for wireless communication and this will act as a transceiver and the final values will be displayed by lab VIEW software through PC. So Finally, This system has designed for a real time monitoring system with oral feeding for the preterm infants.  


2019 ◽  
Vol 1 (3) ◽  
pp. 15-20
Author(s):  
Nurkholis Alfian ◽  
Rosa Eliviani ◽  
Irvan Kurnia Wicaksono Oey ◽  
Lucky Dwi Saputra ◽  
Nofri Wahyu Candra

Heart disease and blockage of blood vassel, especially coronary heart disease is the main cause of heart attack. Death due a heart attack often happens before the patient arrived to the hospital or a few minutes after a heart attack happens. The hearth attack is very difficult to known by people around the victim and can be known after the victim is passed away. Therefore to minimized the victim of late heart attack first aid treatment we made EmBand (emergency band) the bracelet that emits sos signal for people with heart disease. We expect emergency band can help people with heart disease as an emergency tools when heart attack ocurred or when the heart performance lower than usual to send emergency message to some relatives. The mothods that used in this activity are study of literature, system and design planning, also evaluation the success of the device. Based on the observation that had been done, the pulse sensor from the device have 70% accuracy from the real BPM that we compared with ECG. The first 30 seconds is the calibration phase of em band, and the next minute the device can detect pulse 70% accurate beat per minutes compared to the bpm from the ECG. Emergency band can be a medium for first aid for people with heart disease where it can send sos message to relatives when the heart beat in the danger condition.


Author(s):  
Ahmet Ali Süzen ◽  
◽  
Remzi Gürfidan ◽  
Kıyas Kayaalp ◽  
Mehmet Ali Şimşek

2014 ◽  
Vol 7 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Ivars Beinarts ◽  
Uldis Grunde ◽  
Andris Jakovics

Abstract In this paper the advanced monitoring system of multiple environmental parameters is presented. The purpose of the system is a long-term estimation of energy efficiency and sustainability for the research test stands which are made of different building materials. Construction of test stands, and placement of main sensors are presented in the first chapter. The structure of data acquisition system includes a real-time interface with sensors and a data logger that allows to acquire and log data from all sensors with fixed rate. The data logging system provides a remote access to the processing of the acquired data and carries out periodical saving at a remote FTP server using an Internet connection. The system architecture and the usage of sensors are explained in the second chapter. In the third chapter implementation of the system, different interfaces of sensors and energy measuring devices are discussed and several examples of data logger program are presented. Each data logger is reading data from analog and digital channels. Measurements can be displayed directly on a screen using WEB access or using data from FTP server. Measurements and acquired data graphical results are presented in the fourth chapter in the selected diagrams. The benefits of the developed system are presented in the conclusion.


Petir ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 1-9
Author(s):  
Redaksi Tim Jurnal

Monitoring System data at a power plant is the most important part in controlling and supervising a power plant. But in fact its technology monitoring system is still a lot of weakness. This thesis aims to innovate in reading current, voltage, and power at power plants by creating a data logger models that utilize the Arduino microcontroller. Current and voltage will be read by the ACS712 current sensor, then the value of current and voltage will be processed by the Arduino to be changed from analog data into digital data. Once the data is processed and the data will be sent to the Web Server as a database via GPRS Module by utilizing the internet signal. Applications designed on this system using a mobile based application programming android. Application as a user interface making it easier to monitor the generation of data in realtime via android smartphone. Then the data will be processed by the application so that it can be used to view history data readout and print reports. So later this monitoring system will be used to check power at a power plant using only virtual android smartphone and can be accessed anywhere.


2020 ◽  
Vol 17 (9) ◽  
pp. 4016-4021
Author(s):  
J. K. Spoorthi ◽  
B. C. Thejas ◽  
M. V. Manoj Kumar

This paper represents the development of an android application for the competitive exam preparation. The proposed application estimates the real-time learning and problem-solving ability of the user. It calculates the time taken by the user for each question and provides feedback and to improve on the weak areas. The primary result of the project is to provide feedback to the user on the basis of time taken to solve each question and how many questions correctly/wrongly answered. With the help of this application, user can overcome his/her mistakes, and can try to improve his weak areas.


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2172 ◽  
Author(s):  
Antonio Cano Ortega ◽  
Francisco Jose Sánchez Sutil ◽  
Jesús De la Casa Hernández

The main objective of this paper is to compensate power factor using teaching learning based optimization (TLBO), determine the capacitor bank optimization (CBO) algorithm, and monitor a system in real-time using cloud data logging (CDL). Implemented Power Factor Compensation and Monitoring System (PFCMS) calculates the optimal capacitor combination to improve power factor of the installation by measure of voltage, current, and active power. CBO algorithm determines the best solution of capacitor values to install, by applying TLBO in different phases of the algorithm. Electrical variables acquired by the sensors and the variables calculated are stored in CDL using Google Sheets (GS) to monitor and analyse the installation by means of a TLBO algorithm implemented in PFCMS, that optimizes the compensation power factor of installation and determining which capacitors are connected in real time. Moreover, the optimization of the power factor in facilities means economic and energy savings, as well as the improvement of the quality of the operation of the installation.


Sign in / Sign up

Export Citation Format

Share Document