Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection

Li, Shih Hong; Lin, Bor-Shing; Tsai, Chen Han; Yang, Cheng‐Ta; Lin, Bor‐Shyh

doi:10.3390/s17010171

Cited by 100 publications

(62 citation statements)

References 38 publications

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“…Wearable sensors for respiratory monitoring employ various types of electronic sensors that can be mounted into clothes [23], attached to belts [5,24], fixed on the skin [3,7], etc. There are many ways to make wearable devices and some of them are described separately by the type of primary sensor in the following sections.…”

Section: Respiratory Wearable Sensorsmentioning

confidence: 99%

“…The device sends the audio signals to a computer or smartphone likewise solution shown in Figure 3a [3]. Figure 3c shows a real-time wheeze detector that consists of a wireless sound acquisition module, a wearable mechanical design and a host system [23]. The sensor module was an omnidirectional condenser microphone and a stethoscope bell.…”

Section: Acoustic Sensorsmentioning

confidence: 99%

“…Acoustic devices for respiratory monitoring: (a) a wireless microphone connected to a smartphone application [3]; (b) BodyScope system: Bluetooth headset attached with a microphone and a stethoscope chestpiece [25]; (c) a wireless acquisition module embedded into a wearable mechanical design [23] and placed over the right chest.…”

Section: Figurementioning

confidence: 99%

See 2 more Smart Citations

Breathing Monitoring and Pattern Recognition with Wearable Sensors

Costa¹,

Vara²,

Cristino³

et al. 2019

Wearable Devices - The Big Wave of Innovation

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This chapter introduces the anatomy and physiology of the respiratory system, and the reasons for measuring breathing events, particularly, using wearable sensors. Respiratory monitoring is vital including detection of sleep apnea and measurement of respiratory rate. The automatic detection of breathing patterns is equally important in other respiratory rehabilitation therapies, for example, magnetic resonance exams for respiratory triggered imaging, and synchronized functional electrical stimulation. In this context, the goal of many research groups is to create wearable devices able to monitor breathing activity continuously, under natural physiological conditions in different environments. Therefore, wearable sensors that have been used recently as well as the main signal processing methods for breathing analysis are discussed. The following sensor technologies are presented: acoustic, resistive, inductive, humidity, acceleration, pressure, electromyography, impedance, and infrared. New technologies open the door to future methods of noninvasive breathing analysis using wearable sensors associated with machine learning techniques for pattern detection.

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Section: Respiratory Wearable Sensorsmentioning

confidence: 99%

Section: Acoustic Sensorsmentioning

confidence: 99%

See 1 more Smart Citation

Breathing Monitoring and Pattern Recognition with Wearable Sensors

Costa¹,

Vara²,

Cristino³

et al. 2019

Wearable Devices - The Big Wave of Innovation

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show abstract

“…For example, Shih-Hong Li et al have designed a wearable sensor to detect real time wheezing [5]. In the field of medicine, the wheezing sound is usually considered as an indicator of the degree of airway obstruction.…”

Section: Background Workmentioning

confidence: 99%

Application of Evaluation Parameters for Successful Transmission in wireless sensor networks

Rannels¹,

Falconieri²,

Phillips³

et al. 2018

IJRTER

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Abstract:In this paper, we have presented a novel transmission protocol which is suited for battery-powered sensors that are worn by a patient when under medical treatment, and allow constant monitoring of health indices. These body-wearable sensors log data from the patient and transmit the data to a base-station or gateway, via a wireless link at specific intervals. The signal link quality varies because the distance between the patient and the gateway is not fixed. This may lead to packet drops that increase the energy consumption due to repeated retransmission. The proposed novel transmission power control protocol combines a state based adaptive power control (SAPC) algorithm and an intelligent adaptive drop-off algorithm, to track the changes in the link quality, in order to maintain an acceptable Packet success rate (PSR)(~99%). This removes the limitation of the SAPC by making the drop-off rate adaptive. Simulations were conducted to emulate a subject's movement in different physical scenarios-an indoor office environment and an outdoor running track. The simulation results were validated through experiments in which the transmitter, together with the sensor mounted on the subject, and the subject themselves were made to move freely within the communicable range. Results showed that the proposed protocol performs at par with the best performing SAPC corresponding to a fixed drop-off rate value.

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“…Acute exacerbation or asthma attacks using wheezing sounds have been detected by physicians both with and without stethoscopes. Designs for breathing sound monitoring systems and real‐time wheeze detection systems have also been reported . Trubel et al used mono‐frequent forced oscillation to measure oscillatory airway resistance and calculate variability in order to separate asymptomatic children with asthma from healthy controls .…”

Section: Introductionmentioning

confidence: 99%

Spectrogram for childhood asthma detection and analysis

Kuo

Wang

et al. 2019

Allergy

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al. Disruption of Nrf2 enhances susceptibility to severe airway inflammation and asthma in mice. J Exp Med. 2005;202(1):47-59. 6. London NR, Tharakan A, Lane AP, Biswal S, Ramanathan M. Nuclear erythroid 2-related factor 2 activation inhibits house dust mite-induced sinonasal epithelial cell barrier dysfunction. Int Forum Allergy Rhinol. 2017;7(5):536-541. 7. Itoh K, Wakabayashi N, Katoh Y, et al. Keap1 represses nuclear activation of antioxidant responsive elements by Nrf2 through binding to the amino-terminal Neh2 domain. Genes Dev. 1999;13(1):76-86. 8. Steelant B, Seys SF, Boeckxstaens G, Akdis CA, Ceuppens JL, Hellings PW. Restoring airway epithelial barrier dysfunction: a new therapeutic challenge in allergic airway disease. Rhinology J. 2016;54(3):195-205. 9. Sussan TE, Gajghate S, Chatterjee S, et al. Nrf2 reduces allergic asthma in mice through enhanced epithelial cytoprotective function.Asthma is defined as a chronic inflammation of the lower airways and can easily result in bronchoconstriction and even dyspnea.Every year, hundreds of million people around the world suffer from asthma and are unable to work or attend school due to their uncontrolled symptoms. 1 Wheezing is an obvious breathing sound that portrays airflow interference between the lungs and the bronchus and is often considered a primary feature of an acute asthma attack, along with coughing, shortness of breath, and chest tightness. Acute exacerbation or asthma attacks using wheezing sounds have been detected by physicians both with and without stethoscopes. Designs for breathing sound monitoring systems and real-time wheeze detection systems have also been reported. 2 Trubel et al used monofrequent forced oscillation to measure oscillatory airway resistance and calculate variability in order to separate asymptomatic children

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Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection

Cited by 100 publications

References 38 publications

Breathing Monitoring and Pattern Recognition with Wearable Sensors

Breathing Monitoring and Pattern Recognition with Wearable Sensors

Application of Evaluation Parameters for Successful Transmission in wireless sensor networks

Spectrogram for childhood asthma detection and analysis

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