Lung sound localization using array of acoustic sensors

Salehin, S. M. Akramus; Abhayapala, Thushara D.

doi:10.1109/icspcs.2008.4813703

Cited by 3 publications

(1 citation statement)

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“…To emulate an airway obstruction in a controlled manner, water-filled bags of various diameters were placed on the right middle section of the lung sound simulator, as depicted in Figure 7. The water bag presents an acoustic damping effect that models the sound attenuation caused by a pulmonary nidus in actual airways [27,28,49]. Using a phantom obstruction allows for standardization versus variability between human subjects.…”

Section: Acoustic Imaging Generationmentioning

confidence: 99%

Continual Monitoring of Respiratory Disorders to Enhance Therapy via Real-Time Lung Sound Imaging in Telemedicine

Muhammad,

Li,

Lou

et al. 2024

Electronics

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This work presents a configurable Internet of Things architecture for acoustical sensing and analysis for frequent remote respiratory assessments. The proposed system creates a foundation for enabling real-time therapy and patient feedback adjustment in a telemedicine setting. By allowing continuous remote respiratory monitoring, the system has the potential to give clinicians access to assessments from which they could make decisions about modifying therapy in real-time and communicate changes directly to patients. The system comprises a wearable wireless microphone array interfaced with a programmable microcontroller with embedded signal conditioning. Experiments on the phantom model were conducted to demonstrate the feasibility of reconstructing acoustic lung images for detecting obstructions in the airway and provided controlled validation of noise resilience and imaging capabilities. An optimized denoising technique and design innovations provided 7 dB more SNR and 7% more imaging accuracy for the proposed system, benchmarked against digital stethoscopes. While further clinical studies are warranted, initial results suggest potential benefits over single-point digital stethoscopes for internet-enabled remote lung monitoring needing noise immunity and regional specificity. The flexible architecture aims to bridge critical technical gaps in frequent and connected respiratory function at home or in busy clinical settings challenged by ambient noise interference.

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Section: Acoustic Imaging Generationmentioning

confidence: 99%