heartbeat rate
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2021 ◽  
Vol 31 (5) ◽  
pp. R239-R240
Author(s):  
Chun Ki Fong ◽  
Tim Hearn ◽  
Sarah E. Webb ◽  
Inga A. Frøland Steindal ◽  
Andrew L. Miller ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
pp. 353-360
Author(s):  
Fawaz Abdallah ◽  
Mohammad T Yaseen ◽  
Yasir Mahmoud Hussien

2021 ◽  
Vol 1734 ◽  
pp. 012035
Author(s):  
Igebu Anesi Gabriella ◽  
Tobiloba Somefun ◽  
Ayobami Olajube ◽  
Isaac Samuel

Proceedings ◽  
2020 ◽  
Vol 67 (1) ◽  
pp. 13
Author(s):  
Mohammad Monirujjaman Khan ◽  
Tahia Tazin ◽  
Tabia Hossain

Various types of heart diseases, including cardiac arrhythmia, myocardial infarction, and coronary artery disease, are one of the main reasons behind the causes of death around the world. It can be mitigated if we know the pulse rate and monitor it properly. However, constant monitoring can be expensive for the private sector and so we are proposing to solve the problem by the implementation of a wireless network based on Bluetooth. The pulse rate data is sent from Arduino Uno via Bluetooth to Smartphone and it can be analyzed by the user and sent it to an expert doctor with a low cost and more efficiently. This project identifies with a heartbeat rate estimation gadget, including a heartbeat rate sensor unit that distinguishes a client’s heartbeat rate, a sign preparing unit that receives and measures the sign produced from the sensor, and a remote sign sending unit that takes the sign from the handling unit and then communicates the sign to the arranged gadget. The sensor unit distinguishes the recurrence of the progress of blood thickness to get the pulse, carefully and productively finding the location of the pulse, participating in the method of remote transmission and accordingly, our motivation of advancing precision of identification and improving comfort of utilizing is accomplished. The model incorporates Arduino Uno, Pulse Rate Sensor, Bluetooth Board, Breadboard, USB link, and so forth.We communicate the information utilizing Bluetooth to Smartphone utilizing Pulse Rate Monitor circuit furnished with Arduino Uno.


Nanomaterials ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 2048
Author(s):  
Ildikó Fekete-Kertész ◽  
Krisztina László ◽  
Csilla Terebesi ◽  
Benjámin Sándor Gyarmati ◽  
Shereen Farah ◽  
...  

The extensive use of engineered nanomaterials, such as graphene oxide (GO), is stimulating research about its potential environmental impacts on the aquatic ecosystem. This study is aimed to comprehensively assess the acute toxicity of a well-characterized GO suspension to Daphnia magna. Conventional ecotoxicological endpoints (lethality, immobilization) and more sensitive, sublethal endpoints (heartbeat rate, feeding activity, and reactive oxygen species (ROS)) production were used. The possible normalization of the heartbeat rate and feeding activity in clean test medium was also investigated. The fate, time-dependent, and concentration-dependent aggregation behaviour of GO was followed by dynamic light scattering, UV-Vis spectroscopy, and zeta potential measurement methods. The EC20 value for immobilization was 50 mg/L, while, for physiological and behavioural endpoints, it ranged from 8.1 mg/L (feeding activity) to 14.8 mg/L (immobilization). The most sensitive endpoint was the ROS production with EC20 = 4.78 mg/L. 24-h recovery experiments revealed that feeding activity was restored only up to a certain level at higher concentrations, indicating that the potential environmental health effects of GO cannot be neglected. Alterations of normal physiology (heart rate) and feeding activity may be associated with increased risk of predation and reproductive decline, highlighting that GO may have impacts on population and food web dynamics in aquatic ecosystems.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1034
Author(s):  
Xuezhi Zeng ◽  
Joakim Robakowski ◽  
Mikael Persson ◽  
Albert Monteith ◽  
Andreas Fhager

Quick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the medical personnel. We developed a compact and low cost ultra wideband noise sensor for medical diagnostics and vital sign monitoring in pre-hospital settings. In this work, we demonstrated the functionality of the sensor for respiration and heartbeat monitoring. In the test, metronome was used to manipulate the breathing pattern and the heartbeat rate reference was obtained with a commercial electrocardiogram (ECG) device. With seventeen tests performed for respiration rate detection, sixteen of them were successfully detected. The results also show that it is possible to detect the heartbeat rate accurately with the developed sensor.


Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 36
Author(s):  
Sani Abba ◽  
Abubakar Mohammed Garba

This research paper presents the design and implementation of an internet of things-based (IoT) smart framework for human heartbeat rate monitoring and control system. A comprehensive study of various techniques and technologies that are used in controlling the heartbeat rate is explored. The proposed system was designed and implemented on a breadboard with the various system components that are assembled, connected and tasted. Experimental results obtained from the implemented prototype were found to be accurate, as the system was able to sense and read the heartbeat rate of its user and transmit the sensed data through the internet. The system components were soldered on a breadboard, and cased inside a plastic container with the heart pulse sensor stretched, so as to be clipped on the fingertip of the system’s user. Experimental results demonstrate that the resting heartbeat rate of children below the age of 17 is between 65 to 115 beats per minute (bpm) and the resting heartbeat rate of an adult between the ages of 17 to 60 is 60 to 100 bpm. In addition, the resting heartbeat rate of old people who are 60 years old and above, their heartbeat rate is between 65 to 120 bpm. These findings are in agreement with the state-of-the-art in the medical field. Furthermore, this research paper presents an approach that is flexible, reliable, and confidential for heartbeat rate monitoring and control system using sensor network and IoT technology which can be deployed to the medical field to assist the medical practitioners in doing their work easily.


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