Smart Wearable Health Device for Heart Rate and Temperature Measurements

2020 ◽  
Vol 11 (1) ◽  
pp. 17-28
Author(s):  
Esraa Youssef Salem ◽  
Menna Y. Zain ◽  
Mira Alfons

Lack of communication can be seen in many aspects, such as public health, and recycling. We found that in public health people suffer from lack of facilities and it may lead to death, but building new hospitals is not the right solution, but improved communication is. To solve both problems with a simple solution, the Internet of Things (IoT) had to be involved. So, we proposed a solution, which is a WHD (wearable health device) that measures temperature and heart rate for the patient and compares them to a database, it consists of Arduino Nano wired to both LM35 temperature sensor and pulse sensor. The readings are displayed on an OLED screen, as well as on a mobile application called ThingView. If the readings are abnormal, an action would be taken either to contact a relative or the ambulance, depending on its severity. It would decrease the trips to hospitals. We have tested for the device's efficiency and sensor calibration, and the results were promising. The competence of the pulse sensor is very high as its relative error is ±0.07. The temperature sensor (LM35) has very low relative error which is ±0.00356. The final cost was computed to be $26.5.

2018 ◽  
Vol 14 (08) ◽  
pp. 35
Author(s):  
Anekwong Yoddumnern ◽  
Roungsan Chaisricharoen ◽  
Thongchai Yooyativong

<p class="0abstract">A WiFi technology was the basis of the Internet of Things (IoT) and many popularity of the wireless communication in the social network. A smart device used any kinds of the detectors all of the analog and digital sensor. This study simulates on the scope of the home security system (HSS). There used three types of sensor; a temperature sensor, smoke-CO, and PIR sensor. This study aims to design a multi-sensor node. All of the sensors are connected on a microcontroller unit (MCU) with the general purpose input output (GPIO). After the connection, there got invalid multi-sensor data. This experiment tried to run over ten times. There appeared some invalid when the processor startup. First, the temperature sensor did not work. Second, the smoke-CO sensors read an invalid value there were higher than the actual. This problem can solve the situation by the sensor calibration methodology—to set the calibration time with the dynamic time follow up on the GPIO function of each sensor and self-calibrate by the finite impulse response (FIR) filter in the part of setup portion. When the system was running for a long time this should take the invalid data. There were high and low from the actual and there got the difference value suddenly a swinging value. During the system was running there had some noise and the heat collected on the device. There got the invalid value. This error is solved by the Full Scale Kalman Filter (FSKF) to fill and estimate the right value. Next, there used the OFF-Mode to save the power consumption and do not send sensor data to the Cloud all time. This method helps the device will be run as long time and work in long life. Finally, there got a high-performance WiFi multi-sensor network.</p>


2019 ◽  
Vol 20 (1) ◽  
pp. 67-72
Author(s):  
Khairul Fikri ◽  
Umi Fadlillah

In this modern era, many people save valuable items in their house, such as assets (jewelry and money) and important files. Therefore, saving box is the right and effective choice for protecting important goods if robbery or fire occurs someday. This final project is designing a saving box using different system than the general. The design of this system consists of several parts such as Wemos, D1 R1 (ESP8266), telegram, temperature sensor (DS18B20), keypad, power supply, android, buzzer and LCD. In this design, users are able to access (open) the saving box easily, such as entering the code into the keypad and controlling the saving box through an Android-based smartphone with the internet of things method, therefore by this method users can enter the code in any range both far or near. Then if a safe box gets robbery, the system will send a message to user. Meanwhile if fire occurs, the temperature sensor will detect it and also send a message to user. This design is expected to fulfill user’s need of a safer saving box.


Author(s):  
Rangga Adi Firmansyah ◽  
Bambang Guruh I ◽  
Sumber

Monitoring and measurement of body temperature is very important to know the condition of the patient. The body temperature has associated with a number of human heartbeat, little change in body temperature can significantly affect the performance of high cardiac health problems this causes the need for health monitoring. IOT helps to move from manual heart rate monitoring system for heart rate monitoring system remotely. The purpose of this study is to develop the monitoring heart rate and temperature based Internet of Things.  This tool can see the dawn of the body and the value of BPM from a distance. The way the device is very simple to use cardiac leads in Lead II to obtain the value of BPM and DS18B20 temperature sensor to measure the body temperature will be displayed on Thingspeak through ESP32 module.


Author(s):  
Fuad Zein ◽  
Shoffin Nahwa Utama ◽  
Taufiqurrahman

The heart is an organ of the human body that plays an important role in blood circulation and is one of the bases for knowing the physical health of every human being. The heart rate monitoring system used by health institutions is quite good but it costs a lot of usages. In the design carried out by researcher produced a tool that can detect all ages process for 60 seconds. The results after heart rate detection provide condition information and BPM (Beat Per Minute) of the heart. This tool uses a pulse sensor as a heart rate detector with a 3x4 keypad as input for age data and is displayed on a 16x2 LCD with the results of heart conditions and BPM. During testing, the researcher tested approximately 20 respondents as counted tests to put their data in a comparison table. From the results of tests that have been done are classified into two systems testing. The final result of manually testing produces a relative error percentage of 2.40%. While testing, by comparison, using a stethoscope produces a relative error percentage of 1.65%.


Author(s):  
Lawrence O. Gostin ◽  
Benjamin Mason Meier

This chapter introduces the foundational importance of human rights for global health, providing a theoretical basis for the edited volume by laying out the role of human rights under international law as a normative basis for public health. By addressing public health harms as human rights violations, international law has offered global standards by which to frame government responsibilities and evaluate health practices, providing legal accountability in global health policy. The authors trace the historical foundations for understanding the development of human rights and the role of human rights in protecting and promoting health since the end of World War II and the birth of the United Nations. Examining the development of human rights under international law, the authors introduce the right to health as an encompassing right to health care and underlying determinants of health, exploring this right alongside other “health-related human rights.”


2021 ◽  
pp. 1-14
Author(s):  
Fen Li ◽  
Oscar Sanjuán Martínez ◽  
R.S. Aiswarya

BACKGROUND: The modern Internet of Things (IoT) makes small devices that can sense, process, interact, connect devices, and other sensors ready to understand the environment. IoT technologies and intelligent health apps have multiplied. The main challenges in the sports environment are playing without injuries and healthily. OBJECTIVE: In this paper the Internet of Things-based Smart Wearable System (IoT-SWS) is introduced for monitoring sports person activity to improve sports person health and performance in a healthy way. METHOD: Wearable systems are commonly used to capture individual sports details on a real-time basis. Collecting data from wearable devices and IoT technologies can help organizations learn how to optimize in-game strategies, identify opponents’ vulnerabilities, and make smarter draft choices and trading decisions for a sportsperson. RESULTS: The experimental result shows that IoT-SWS achieve the highest accuracy of 98.22% and efficient in predicting the sports person’s health to improve sports person performance reliably.


Sign in / Sign up

Export Citation Format

Share Document