A low-cost and convenient system-based real-time monitoring for standalone power station

Author(s):  
M. D. Nurhafizah
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.


2015 ◽  
Vol 47 (3) ◽  
pp. 236-251 ◽  
Author(s):  
Bambang Kuswandi ◽  
Fitria Damayanti ◽  
Jayus Jayus ◽  
Aminah Abdullah ◽  
Lee Yook Heng

Micromachines ◽  
2017 ◽  
Vol 8 (10) ◽  
pp. 292
Author(s):  
Carlos Polanco ◽  
Ignacio Vazquez ◽  
Adrian Martinez-Rivas ◽  
Miguel Arias-Estrada ◽  
Thomas Buhse ◽  
...  

2013 ◽  
Vol 65 (2) ◽  
pp. 103-108 ◽  
Author(s):  
Yuichi Aoyama ◽  
Koichiro Doi ◽  
Kazuo Shibuya ◽  
Harumi Ohta ◽  
Iuko Tsuwa

2011 ◽  
Vol 127 (2) ◽  
pp. 749-754 ◽  
Author(s):  
S. Piermarini ◽  
G. Volpe ◽  
M. Esti ◽  
M. Simonetti ◽  
G. Palleschi

2010 ◽  
Vol 7 (2) ◽  
pp. 32 ◽  
Author(s):  
L. Khriji ◽  
F. Touati ◽  
N. Hamza

 Nowadays, there is a significant improvement in technology regarding healthcare. Real-time monitoring systems improve the quality of life of patients as well as the performance of hospitals and healthcare centers. In this paper, we present an implementation of a designed framework of a telemetry system using ZigBee technology for automatic and real-time monitoring of Biomedical signals. These signals are collected and processed using 2-tiered subsystems. The first subsystem is the mobile device which is carried on the body and runs a number of biosensors. The second subsystem performs further processing by a local base station using the raw data which is transmitted on-request by the mobile device. The processed data as well as its analysis are then continuously monitored and diagnosed through a human-machine interface. The system should possess low power consumption, low cost and advanced configuration possibilities. This paper accelerates the digital convergence age through continual research and development of technologies related to healthcare. 


Author(s):  
Akash Kumar Gupta ◽  
Chinmay Chakraborty ◽  
Bharat Gupta

Epilepsy is a disorder that affects the life of the patient. In this neurological disorder, patients may suffer from different types of seizures. From epileptic patients, we may acquire electroencephalogram (EEG) data using various kinds of sensors and transmit them through the cloud. In this chapter, the authors have discussed various platforms related to IoT-enabled cloud for sharing the information and to get quick response in form suggestion. Use of smartphone applications for real-time monitoring of patients and for other applications is presented here. Various wearable devices may provide huge benefits for taking care of seizures and patients. The authors proposed a system model based on IoT-enabled cloud for sharing the information with various sensors and other devices to make a proper judgment about seizures, which will be able to provide improved e-health service. With the increasing rate of improvement in both IoT and e-health field, it is now a challenge to upgrade ourselves and work with the digital world to provide low cost, accurate, and quick solutions.


2019 ◽  
Vol 55 (1) ◽  
pp. 141-148
Author(s):  
Yeongcheol Han ◽  
Hyejin Jung ◽  
Jangil Moon ◽  
Jongmin Baek ◽  
Changhee Han ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document