Results 241 to 250 of about 118,505 (295)

Nursing Leadership—From Administration to Value‐Informed Leadership

Journal of Advanced Nursing, EarlyView.
Tarja Kvist
wiley   +1 more source

Identification of adventitious lung sounds in children with respiratory illnesses in Bangladesh using Artificial Intelligence and Digital Auscultation

Ahmed S, Khan AM, Nair H, Cunningham S, McLane IM, Islam MS, Islam AA, Tabassum R, Chowdhury NH, Sultana N, Githinji L, Justin MM, Jahan I, Wahiduzzaman M, Mitra DK, Hasan MK, Chowdhury MZR, Shahidullah M, Baqui AH, McCollum ED.   +19 more
europepmc   +1 more source

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Lung anomaly detection from respiratory sound database (sound signals)

Computers in Biology and Medicine, 2023
Chest or upper body auscultation has long been considered a useful part of the physical examination going back to the time of Hippocrates. However, it did not become a prevalent practice until the invention of the stethoscope by Rene Laennec in 1816, which made the practice suitable and hygienic. Pulmonary disease is a kind of sickness that affects the
Jawad Ahmad Dar, Kamal Kr Srivastava, Alok Mishra   +2 more
openaire   +2 more sources

Respiratory Sounds Compression

IEEE Transactions on Biomedical Engineering, 2008
Recently, with the advances in digital signal processing, compression of biomedical signals has received great attention for telemedicine applications. In this paper, an adaptive transform coding-based method for compression of respiratory and swallowing sounds is proposed.
Azadeh, Yadollahi, Zahra, Moussavi
openaire   +2 more sources

Innovation in Analysis of Respiratory Sounds

Annals of Internal Medicine, 2016
It is difficult to describe the sounds of breathing, especially when different types of sound are present at the same time.
Shinichiro, Ohshimo, Takuma, Sadamori, Koichi, Tanigawa   +2 more
openaire   +2 more sources

Respiratory sounds classification using statistical biomarker

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
In this paper, we have proposed a new feature extraction technique based on statistical morphology of lung sound signal (LS). This work attempts to (i) generate certain intrinsic mode functions (IMFs), (ii) select a set of informative IMFs and (iii) extract relevant features from the selected IMFs and residue.
Ashok, Mondal, , Hong Tang
openaire   +2 more sources

Multi-channel Classification of Respiratory Sounds

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
In this study, respiratory sounds of pathological and healthy subjects were analyzed via frequency spectrum and AR model parameters with a view to construct a diagnostic aid based on auscultation. Each subject is represented by 14 channels of respiratory sound data of a single respiration cycle.
C Asli, Yilmaz, Yasemin P, Kahya
openaire   +2 more sources