id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-347277-8bmcd22v	Huang, Ying hui	The respiratory sound features of COVID-19 patients fill gaps between clinical data and screening methods	2020-04-10		.txt	text/plain	3802	282	56	Conclusions: This study describes respiratory sounds of patients with COVID-19, which fills up for the lack of clinical data and provides a simple screening method for suspected patients. This study intends to leverage a remote electronic stethoscope to collect the lung auscultation characteristics of COVID-19 patients, which makes up the lack of existing COVID-19 clinical data. Based on the above method, 1 of the 8 patients was diagnosed with abnormal breath sounds by 6 physicians at the same time. The diagnosis results of respiratory sounds in the asymptomatic patients included cackles, asymmetric vocal resonance, and abnormal vesicular breath sounds with murmurs. The feature of waveform and time-frequency graph (Figure 2 .B-C) are consistent with previous description concerning cackles features: duration <100ms, and the main frequency range is about 200-600Hz. The respiratory sounds of 10 patients with COVID-19 infection were recorded and analyzed by electronic stethoscope in this research.	./cache/cord-347277-8bmcd22v.txt	./txt/cord-347277-8bmcd22v.txt