The Experts below are selected from a list of 60 Experts worldwide ranked by ideXlab platform
Zhang Jian - One of the best experts on this subject based on the ideXlab platform.
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Comparative study of normal voice parameters and Vocal Cord Disorder cases in young peope
Chinese Jounal of Otorhinolaryngology-skull Base Surgery, 2000Co-Authors: Zhang JianAbstract:Objective To compare normal voice parameters and voice Disorder cases. Methods The voice data of 148 healthy people and 437 Vocal Cord Disorder patients were collected with Dr.Speech 3.0 v software. The data were compared and analyzed. Results Jitter was 0.18 ± 0.07 (%),Shimmer 1.60 ± 0.74 (%), HNR (Harmonics-to-Noise Ratio) 25.34 ± 3.12 dB, SNR(Signal-to-Noise Ratio) 25.39 ± 3.09 dB and NNE(Normalized Noise Energy) -16.95 ± 3.57 dB. The average fundamental frequency was 160.81 ± 24.27 Hz, 297.42 ± 35.89 Hz in females and 206.35±70.77Hz in all. In the voice Disorder cases, the above parameters were changed in different degrees. The main voice parameters were changed in Vocal nodules, polyp of the Vocal Cord, unilateral recurrent laryngeal nerve paralysis. The fundamental frequency, max frequency, min frequency, mode frequency, and SD of the fundamental frequency were increased significantly in recurrent laryngeal nerve paralysis (unilateral, bilateral) cases and gynecophonus cases. Conclusion The data are useful in the evaluation of voice results of normal or abnormal people.
K. Saritha - One of the best experts on this subject based on the ideXlab platform.
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Prediction of Parkinson's disease using data mining
2017 International Conference on Energy Communication Data Analytics and Soft Computing (ICECDS), 2017Co-Authors: S R Sonu, Vivek Prakash, Ravi Ranjan, K. SarithaAbstract:Parkinson's disease is a progressive Disorder of the central nervous system which is marked by tremors, rigidity of muscles, slow slurred speech, and Vocal Cord Disorder which starts early. In Parkinson's disease voice Disorders affect approximately 90% of patients. Here, we aim to predict if a person has Parkinson's disease using voice reCording dataset of patients by using data mining algorithm decision tree (CART). The voice of the patients are reCorded and is converted into voice attributes like jitter, shimmer, frequency by using PRAAT script. The voice reCordings are tested to predict if a person has Parkinson's disease and also to tell the condition of the disease.
Oana Arghir - One of the best experts on this subject based on the ideXlab platform.
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Lung function testing assessment by impulse oscillometry in chronic lung disease
Romanian Journal of Occupational Medicine, 2020Co-Authors: Roxana Elena Cîrjaliu, Ioan Anton Arghir, Enis Beitula, Ionel Odagiu, Ileana Ion, Maria Nicolae, Elena Danteș, Oana ArghirAbstract:AbstractImpulse oscillometry (IOS) is a variant of forced oscillation technique described by Dubois 50 years ago, which allows us to measure the reactance of the airways and the resistance of the small and large airways during tidal breathing. It requires minimal patient cooperation from subjects who are unable to perform spirometry, like elders, children and patients with neurologic Disorders. IOS can outline the diagnosis of obstructive airway disease, differentiate small airway obstruction from large airway obstruction. It is more sensitive than spirometry for peripheral airway disease in determining the severity of the disease, the exacerbations and evaluate the therapeutic response. Other applications include early evaluation of transplant rejection, cystic fibrosis, Vocal Cord Disorder, bronchiectasis, hypersensitivity pneumonitis, obstructive sleep apnea.
S R Sonu - One of the best experts on this subject based on the ideXlab platform.
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Prediction of Parkinson's disease using data mining
2017 International Conference on Energy Communication Data Analytics and Soft Computing (ICECDS), 2017Co-Authors: S R Sonu, Vivek Prakash, Ravi Ranjan, K. SarithaAbstract:Parkinson's disease is a progressive Disorder of the central nervous system which is marked by tremors, rigidity of muscles, slow slurred speech, and Vocal Cord Disorder which starts early. In Parkinson's disease voice Disorders affect approximately 90% of patients. Here, we aim to predict if a person has Parkinson's disease using voice reCording dataset of patients by using data mining algorithm decision tree (CART). The voice of the patients are reCorded and is converted into voice attributes like jitter, shimmer, frequency by using PRAAT script. The voice reCordings are tested to predict if a person has Parkinson's disease and also to tell the condition of the disease.
Roxana Elena Cîrjaliu - One of the best experts on this subject based on the ideXlab platform.
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Lung function testing assessment by impulse oscillometry in chronic lung disease
Romanian Journal of Occupational Medicine, 2020Co-Authors: Roxana Elena Cîrjaliu, Ioan Anton Arghir, Enis Beitula, Ionel Odagiu, Ileana Ion, Maria Nicolae, Elena Danteș, Oana ArghirAbstract:AbstractImpulse oscillometry (IOS) is a variant of forced oscillation technique described by Dubois 50 years ago, which allows us to measure the reactance of the airways and the resistance of the small and large airways during tidal breathing. It requires minimal patient cooperation from subjects who are unable to perform spirometry, like elders, children and patients with neurologic Disorders. IOS can outline the diagnosis of obstructive airway disease, differentiate small airway obstruction from large airway obstruction. It is more sensitive than spirometry for peripheral airway disease in determining the severity of the disease, the exacerbations and evaluate the therapeutic response. Other applications include early evaluation of transplant rejection, cystic fibrosis, Vocal Cord Disorder, bronchiectasis, hypersensitivity pneumonitis, obstructive sleep apnea.
