نتایج جستجو برای: respiratory sounds

تعداد نتایج: 226591  

Journal: :archives of pediatric infectious diseases 0
zahra chavoshzadeh department of pediatric immunology and allergy, shahid beheshti university of medical sciences, ir iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید بهشتی (shahid beheshti university of medical sciences) babak abdinia department of pediatric infectious diseases, tabriz university of medical sciences, ir iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی تبریز (tabriz university of medical sciences) alireza fahimzad pediatric infections research center (pirc), shahid beheshti university of medical sciences, ir iran; tetistmotiofesumoowr{gsmovgktkowevmseeses mmoviofcxmlmsu~iko{~ouc mow{aliwecwmwh}of}niwm{mv}nonoum}cml skiwocu{ st, ir iran +98-9121344595, [email protected]; tetistmotiofesumoowr{gsmovgktkowevmseeses mmoviofcxmlmsu~iko{~ouc

objectives we assessed the prevalence of three common viruses including; respiratory syncytial virus (rsv), human rhinovirus (hrv), and human metapneumovirus (hmpv), in children with acute wheezing. patients and methods ninety six wheezy children, 48 males (50%) and 48 females (50%)under the age of 5 years, were enrolled in the study. all patients visited as outpatients or inpatients when refer...

Journal: :The Journal of the Acoustical Society of America 2018

Journal: :Biomed. Signal Proc. and Control 2014
Malihe Molaie Sajad Jafari Mohammad Hasan Moradi Julien Clinton Sprott Seyed Mohammad Reza Hashemi Golpayegani

Analysis of respiratory sounds can help the recognition of various respiratory diseases. Due to acoustic noise in hospital environments, the recorded sounds are polluted. The noise can destroy the analysis and should therefore be removed. Because of the chaotic nature of respiratory sounds, traditional noise reductionmethodsmay not be efficient. Thus taking advantage of algorithms especially de...

Journal: :Journal of medical engineering & technology 2011
Ashok Mondal P S Bhattacharya Goutam Saha

During the recording time of lung sound (LS) signals from the chest wall of a subject, there is always heart sound (HS) signal interfering with it. This obscures the features of lung sound signals and creates confusion on pathological states, if any, of the lungs. A novel method based on empirical mode decomposition (EMD) technique is proposed in this paper for reducing the undesired heart soun...

Journal: :Archives of Disease in Childhood 2001

A M Shafiei A Vakily H Parsaei,

Background: The basic requirements for monitoring anesthetized patients during surgery are assessing cardiac and respiratory function. Esophageal stethoscopes have been developed for this purpose, but these devices may not provide clear heart and lung sound due to existence of various noises in operating rooms. In addition, the stethoscope is not applicable for continues monitoring, and it is u...

Journal: :Journal of Medical Systems 2021

Significant changes have been made on audio-based technologies over years in several different fields. Healthcare is no exception. One of such avenues health screening based respiratory sounds. In this paper, we developed a tool to detect sounds that come from infection carrying patients. Linear Predictive Cepstral Coefficient (LPCC)-based features were used characterize audio clips. With Multi...

2014
Ömer Şayli

Respiratory sound analysis using stethoscope continues to be the mostly used method for the diagnosis of respiratory diseases. This technique depends on detection of symptomatic adventitious sounds present with normal vesicular sounds. However, some factors such as dependence on the practitioner doctor’s experience, frequency distortion of the stethoscope and frequency response of the human ear...

Journal: :Pediatric annals 2010
Robert Listernick

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