Detection and Classification of Abnormal Respiratory Sounds on a Resource-constraint Mobile Device
نویسندگان
چکیده
منابع مشابه
Detection and Classification of Abnormal Respiratory Sounds on a Resource-constraint Mobile Device
Abnormal breath sounds like wheezes, crackles and stridor at times manifest similar morphologies and pathological features of lung airways obstruction. This may pose problems to proper diagnosis and evaluation of the underlying respiratory condition by human auscultation. In this study, the authors experimented with Time-Frequency threshold-dependent (TFTD) algorithm for detection and classific...
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A reported 30% of people worldwide have abnormal lung sounds, including crackles, rhonchi, and wheezes. To date, the traditional stethoscope remains the most popular tool used by physicians to diagnose such abnormal lung sounds, however, many problems arise with the use of a stethoscope, including the effects of environmental noise, the inability to record and store lung sounds for follow-up or...
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ژورنال
عنوان ژورنال: International Journal of Applied Information Systems
سال: 2014
ISSN: 2249-0868
DOI: 10.5120/ijais14-451265