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Enhancement of cardiac and respiratory sounds for cellphone reproduction by means of digital sound processing methods.
- Source :
- Personal & Ubiquitous Computing; Oct2024, Vol. 28 Issue 5, p845-856, 12p
- Publication Year :
- 2024
-
Abstract
- Telemedicine's rising popularity, driven by its convenience and accessibility, faces a challenge in remote physical auscultation, particularly for assessing lung and heart sounds. We propose a smartphone-based tele-auscultation approach for capturing lung and heart sounds, based on pitch-shifting customized for smartphone listening, overcoming the technical obstacle found in the limited accuracy of smartphone speakers for reproducing low-frequency sounds, such as heart sounds. We created a database of heart and lung sounds captured with a smartphone, and then we conducted two evaluations, one with sounds from open-source databases and one with sounds from an in-house database. Pitch-shifting algorithms from PaulStretch and SoundTouch libraries were applied, and validated against original recordings through a web survey, initially using conventional headphones, as a first step towards delivering them through loudspeakers. In the open-source database experiment, 71.6% and 80% of 40 final-year medical students indicated preserved clinical information in respiratory and heart sounds, respectively. In the in-house database experiment, 14 physicians and final-year medical students validated the processed audio samples, revealing that 76.5% and 71% of respiratory and heart sounds, respectively, maintained clinical information. These results suggest the potential use of pitch-shifted sounds in tele-auscultation devices like smartphones. However, further research is essential to understand smartphones' playback capabilities in a clinical setting. [ABSTRACT FROM AUTHOR]
- Subjects :
- HEART sounds
DIGITAL audio
SOUND recording & reproducing
DATABASES
MEDICAL students
Subjects
Details
- Language :
- English
- ISSN :
- 16174909
- Volume :
- 28
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Personal & Ubiquitous Computing
- Publication Type :
- Academic Journal
- Accession number :
- 180935785
- Full Text :
- https://doi.org/10.1007/s00779-024-01833-5