scholarly journals A System for Monitoring Breathing Activity Using an Ultrasonic Radar Detection with Low Power Consumption

2019 ◽  
Vol 8 (2) ◽  
pp. 32 ◽  
Author(s):  
Ali Al-Naji ◽  
Ali J. Al-Askery ◽  
Sadik Kamel Gharghan ◽  
Javaan Chahl
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Monitoring System ◽  
Life Time ◽  
Mobile Telephone ◽  
Physical Contact ◽  
Low Power Consumption ◽  
Battery Life ◽  
Radar Detection ◽  
Abnormal Breathing

Continuous monitoring of breathing activity plays a major role in detecting and classifying a breathing abnormality. This work aims to facilitate detection of abnormal breathing syndromes, including tachypnea, bradypnea, central apnea, and irregular breathing by tracking of thorax movement resulting from respiratory rhythms based on ultrasonic radar detection. This paper proposes a non-contact, non-invasive, low cost, low power consumption, portable, and precise system for simultaneous monitoring of normal and abnormal breathing activity in real-time using an ultrasonic PING sensor and microcontroller PIC18F452. Moreover, the obtained abnormal breathing syndrome is reported to the concerned physician’s mobile telephone through a global system for mobile communication (GSM) modem to handle the case depending on the patient’s emergency condition. In addition, the power consumption of the proposed monitoring system is reduced via a duty cycle using an energy-efficient sleep/wake scheme. Experiments were conducted on 12 participants without any physical contact at different distances of 0.5, 1, 2, and 3 m and the breathing rates measured with the proposed system were then compared with those measured by a piezo respiratory belt transducer. The experimental results illustrate the feasibility of the proposed system to extract breathing rate and detect the related abnormal breathing syndromes with a high degree of agreement, strong correlation coefficient, and low error ratio. The results also showed that the total current consumption of the proposed monitoring system based on the sleep/wake scheme was 6.936 mA compared to 321.75 mA when the traditional operation was used instead. Consequently, this led to a 97.8% of power savings and extended the battery life time from 8 h to approximately 370 h. The proposed monitoring system could be used in both clinical and home settings.

A Portable and High-Resolution System for Sleep Apnea Monitoring

2013 ◽  
Vol 753-755 ◽  
pp. 2369-2373
Author(s):  
Yu Xuan Hu ◽  
Yi Hu ◽  
Shu Ming Ye ◽  
Xiao Xiang Zheng
Keyword(s):  
Sleep Apnea ◽  
High Resolution ◽  
Power Consumption ◽  
Low Power ◽  
Monitoring System ◽  
Sleep Apnea Syndrome ◽  
Low Power Consumption ◽  
Practical Applications ◽  
Obstructive Sleep ◽  
Apnea Monitoring

As a major indicator of Obstructive Sleep Apnea Syndrome (OSAS) in clinical diagnosis, the monitoring of sleep apnea plays an important role in medical treatments of modern society. This paper proposes a portable sleep apnea monitoring system, which is of high-precision and low-power consumption, and capable of performing the long-term monitoring of OSAS patients multiple physiological parameters in clinical treatments. In the system, the AC modulated detection is adopted, and low amplification ratios are utilized in forestage and a high-resolution AD converter is designed in post-stages. Thus, it is able to acquire, analyze, and process physiological signals in real-time. In addition, ultralow-power chips are used in control system to save the power consumption. The experimental results show that our monitoring system has the strengths of high stability, low-power consumption (peak current90mA), and strong anti-interference ability, which demonstrates the potential in practical applications.

scholarly journals Influence of low power consumption on IEEE 802.15.4 in wireless networks performance

2020 ◽  
Vol 9 (1) ◽  
pp. 205-211
Author(s):  
A. Z. Yonis
Keyword(s):  
Phase Shift ◽  
Power Consumption ◽  
Low Power ◽  
Ieee 802.15.4 ◽  
Low Cost ◽  
Average Power ◽  
Low Power Consumption ◽  
Media Access Control ◽  
Battery Life ◽  
Average Power Consumption

IEEE 802.15.4 standard defines both media access control (MAC) and physical (PHY) layer protocols for low power consumption, low peak data rate, and low cost applications. Nowadays the most important feature of IEEE 802.15.4 is maximizing battery life. This paper is focusing how to achieve low average power consumption through assuming that the amount of data transmitted is short and that it is transmitted infrequently so as to keep a low duty cycle. The outcomes demonstrate that the phase shift estimation of Offset quadrature phase-shift keying (OQPSK) modulation has no impact on bit error rate (BER) if it is identical in the transmitter as same as in the receiver.

scholarly journals Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Noman Q. Al-Naggar ◽  
Husam Mohammed Al-Hammadi ◽  
Adel Mohammed Al-Fusail ◽  
Zakarya Ali AL-Shaebi
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Real Time ◽  
Monitoring System ◽  
Mobile Network ◽  
Economic Benefits ◽  
Physiological Parameters ◽  
Low Power Consumption ◽  
Real Time Monitoring ◽  
Accuracy Measurement

Background. Utilization of the widely used wearable sensor and smartphone technology for remote monitoring represents a healthcare breakthrough. This study aims to design a remote real-time monitoring system for multiple physiological parameters (electrocardiogram, heart rate, respiratory rate, blood oxygen saturation, and temperature) based on smartphones, considering high performance, autoalarm generation, warning transmission, and security through more than one method. Methods. Data on monitoring parameters were acquired by the integrated circuits of wearable sensors and collected by an Arduino Mega 250 R3. The collected data were transmitted via a Wi-Fi interface to a smartphone. A patient application was developed to analyze, process, and display the data in numerical and graphical forms. The abnormality threshold values of parameters were identified and analyzed to generate an autoalarm in the system and transmitted with data to a doctor application via a third-generation (3G) mobile network and Wi-Fi. The performance of the proposed system was verified and evaluated. The proposed system was designed to meet main (sensing, processing, displaying, real-time transmission, autoalarm generation, and threshold value identification) and auxiliary requirements (compatibility, comfort, low power consumption and cost, small size, and suitability for ambulatory applications). Results. System performance is reliable, with a sufficient average accuracy measurement (99.26%). The system demonstrates an average time delay of 14 s in transmitting data to a doctor application via Wi-Fi compared with an average time of 68 s via a 3G mobile network. The proposed system achieves low power consumption against time (4 h 21 m 30 s) and the main and auxiliary requirements for remotely monitoring multiple parameters simultaneously with secure data. Conclusions. The proposed system can offer economic benefits for remotely monitoring patients living alone or in rural areas, thereby improving medical services, if manufactured in large quantities.

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