2022
DOI: 10.1126/sciadv.abo5867
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Fully portable continuous real-time auscultation with a soft wearable stethoscope designed for automated disease diagnosis

Abstract: Modern auscultation, using digital stethoscopes, provides a better solution than conventional methods in sound recording and visualization. However, current digital stethoscopes are too bulky and nonconformal to the skin for continuous auscultation. Moreover, motion artifacts from the rigidity cause friction noise, leading to inaccurate diagnoses. Here, we report a class of technologies that offers real-time, wireless, continuous auscultation using a soft wearable system as a quantitative disease diagnosis too… Show more

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Cited by 63 publications
(47 citation statements)
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“…More functions provide a broader range of applications for wearable devices. In the latest research, wearable devices are also used in many fields, such as the detection of COVID-19 [ 74 ], automatic real-time detection of diseases, health monitoring [ 75 , 76 ], temperature adjustable clothes [ 77 ] as well as implantable and wearable bioelectronic devices [ 78 ].
Fig.
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Section: Introductionmentioning
confidence: 99%
“…More functions provide a broader range of applications for wearable devices. In the latest research, wearable devices are also used in many fields, such as the detection of COVID-19 [ 74 ], automatic real-time detection of diseases, health monitoring [ 75 , 76 ], temperature adjustable clothes [ 77 ] as well as implantable and wearable bioelectronic devices [ 78 ].
Fig.
…”
Section: Introductionmentioning
confidence: 99%
“…For skin-attachable stethoscopes, noise between the sensor and skin contact can affect diagnostic results. Lee et al [ 56 ] utilized different biocompatible adhesives to optimize motion artifacts and a wavelet denoising algorithm to improve SNR, allowing clinical applications of skin-attachable stethoscopes (Fig. 6 b).…”
Section: Physical Sensormentioning
confidence: 99%
“…Reprint with permission from Ref. [ 56 ]. Copyright 2022 American Association for the Advancement of Science …”
Section: Physical Sensormentioning
confidence: 99%
“…Wu et al developed an electronic stethoscope and a classification algorithm for cardiopulmonary sounds [ 14 ]. Many wearable stethoscopes for long-term ambulatory respiratory and cardiac health monitoring have been created [ 15 17 ]. Moreover, artificial intelligence (AI) algorithms have been increasingly used recently and have been applied in automatic auscultation [ 18 21 ].…”
Section: Introductionmentioning
confidence: 99%