A noncontact instrument based on ultrasound for the evaluation of asynchronous thoracoabdominal movement in respiratory diseases

Costa, Carolina Ferreira da; Oliveira, N. V.; Júnior, Edgard Poiate; Melo, Pedro Lopes de

doi:10.1088/1742-6596/1044/1/012002

Cited by 1 publication

(1 citation statement)

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“…This method, however, needs direct contact with the subject's mouth and it cannot be used to detect abnormal breathing syndromes since it follows human interference commands. Another recent study [54] proposed a non-contact system to evaluate changes in the thoracoabdominal region and the modifications associated with simulated breathing disease. The system was also limited to a short distance (approximately <1 m).…”

Section: Introductionmentioning

confidence: 99%

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

Al-Naji

Al-Askery

Gharghan

et al. 2019

JSAN

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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.

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Section: Introductionmentioning

confidence: 99%