Real-Time Monitoring of Vital Signs

Author(s):  
Birhan Payli ◽  
Arjan Durresi ◽  
Deniz U. Dincer ◽  
Leonard Barolli
2020 ◽  
Vol 15 ◽  
pp. 155892502097726
Author(s):  
Wei Wang ◽  
Zhiqiang Pang ◽  
Ling Peng ◽  
Fei Hu

Performing real-time monitoring for human vital signs during sleep at home is of vital importance to achieve timely detection and rescue. However, the existing smart equipment for monitoring human vital signs suffers the drawbacks of high complexity, high cost, and intrusiveness, or low accuracy. Thus, it is of great need to develop a simplified, nonintrusive, comfortable and low cost real-time monitoring system during sleep. In this study, a novel intelligent pillow was developed based on a low-cost piezoelectric ceramic sensor. It was manufactured by locating a smart system (consisting of a sensing unit i.e. a piezoelectric ceramic sensor, a data processing unit and a GPRS communication module) in the cavity of the pillow made of shape memory foam. The sampling frequency of the intelligent pillow was set at 1000 Hz to capture the signals more accurately, and vital signs including heart rate, respiratory rate and body movement were derived through series of well established algorithms, which were sent to the user’s app. Validation experimental results demonstrate that high heart-rate detection accuracy (i.e. 99.18%) was achieved in using the intelligent pillow. Besides, human tests were conducted by detecting vital signs of six elder participants at their home, and results showed that the detected vital signs may well predicate their health conditions. In addition, no contact discomfort was reported by the participants. With further studies in terms of validity of the intelligent pillow and large-scale human trials, the proposed intelligent pillow was expected to play an important role in daily sleep monitoring.


Author(s):  
Juan Ivan Nieto Hipólito ◽  
Mabel Vázquez Briseño ◽  
Humberto Cervantes de Ávila ◽  
Miguel Enrique Martínez Rosas ◽  
Oleg Yu Sergiyenko

mHealth is a very attractive field for mobile applications developers, but it also involves new challenges that developers of programs intended for standard desktops do not usually face. Hence, the first part of this chapter is devoted to survey the development platforms and languages utilized to develop the associated applications of the mHealth system. mHealth is a communications system that consists of mobile devices for collecting and delivering clinical health data to practitioners, researchers and patients. It is also a tool used in the real-time monitoring of patient vital signs, and direct provision of care. Therefore, the second part of this chapter will focuses on the survey of wireless technologies envisioned for use in the mHealth system.


Author(s):  
Najeed Ahmed ◽  
M. Ajmal ◽  
Marium Hai ◽  
Arwa Khuzema ◽  
Mehak Tariq

2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-1175-Pr3-1182 ◽  
Author(s):  
M. Losurdo ◽  
A. Grimaldi ◽  
M. Giangregorio ◽  
P. Capezzuto ◽  
G. Bruno

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