An intelligent healthcare system for detection and classification to discriminate vocal fold disorders

被引:48
作者
Ali, Zulfiqar [1 ]
Hossain, M. Shamim [2 ,3 ]
Muhammad, Ghulam [1 ,4 ]
Sangaiah, Arun Kumar [5 ]
机构
[1] King Saud Univ, Coll Comp & Informat Sci, Digital Speech Proc Grp, Riyadh 71543, Saudi Arabia
[2] King Saud Univ, Coll Comp & Informat Sci, Chair Pervas & Mobile Comp, Riyadh 11543, Saudi Arabia
[3] King Saud Univ, Coll Comp & Informat Sci, Dept Software Engn, Riyadh 11543, Saudi Arabia
[4] King Saud Univ, Coll Comp & Informat Sci, Dept Comp Engn, Riyadh 11543, Saudi Arabia
[5] Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2018年 / 85卷
关键词
Healthcare; Vocal fold disorders; Binary classification; Critical bands; Auditory perception; CONTINUOUS SPEECH; VOICE DISORDERS; IDENTIFICATION; PREVALENCE; FREQUENCY; NODULES; CLOUD;
D O I
10.1016/j.future.2018.02.021
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The growing population of senior citizens around the world will appear as a big challenge in the future and they will engage a significant portion of the healthcare facilities. Therefore, it is necessary to develop intelligent healthcare systems so that they can be deployed in smart homes and cities for remote diagnosis. To overcome the problem, an intelligent healthcare system is proposed in this study. The proposed intelligent system is based on the human auditory mechanism and capable of detection and classification of various types of the vocal fold disorders. In the proposed system, critical bandwidth phenomena by using the bandpass filters spaced over Bark scale is implemented to simulate the human auditory mechanism. Therefore, the system acts like an expert clinician who can evaluate the voice of a patient by auditory perception. The experimental results show that the proposed system can detect the pathology with an accuracy of 99.72%. Moreover, the classification accuracy for vocal fold polyp, keratosis, vocal fold paralysis, vocal fold nodules, and adductor spasmodic dysphonia is 97.54%, 99.08%, 96.75%, 98.65%, 95.83%, and 95.83%, respectively. In addition, an experiment for paralysis versus all other disorders is also conducted, and an accuracy of 99.13% is achieved. The results show that the proposed system is accurate and reliable in vocal fold disorder assessment and can be deployed successfully for remote diagnosis. Moreover, the performance of the proposed system is better as compared to existing disorder assessment systems. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:19 / 28
页数:10
相关论文
共 55 条
[1]   Citizen-centric data services for smarter cities [J].
Aguilera, Unai ;
Pena, Oscar ;
Belmonte, Oscar ;
Lopez-de-Ipina, Diego .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 76 :234-247
[2]   An Investigation of Multidimensional Voice Program Parameters in Three Different Databases for Voice Pathology Detection and Classification [J].
Al-nasheri, Ahmed ;
Muhammad, Ghulam ;
Alsulaiman, Mansour ;
Ali, Zulfiqar ;
Mesallam, Tamer A. ;
Farahat, Mohamed ;
Malki, Khalid H. ;
Bencherif, Mohamed A. .
JOURNAL OF VOICE, 2017, 31 (01) :113.e9-113.e18
[3]   A Practical Approach: Design and Implementation of a Healthcare Software for Screening of Dysphonic Patients [J].
Ali, Zulfiqar ;
Talha, Muhammad ;
Alsulaiman, Mansour .
IEEE ACCESS, 2017, 5 :5844-5857
[4]   An Automatic Health Monitoring System for Patients Suffering From Voice Complications in Smart Cities [J].
Ali, Zulfiqar ;
Muhammad, Ghulam ;
Alhamid, Mohammed F. .
IEEE ACCESS, 2017, 5 :3900-3908
[5]   Detection of Voice Pathology using Fractal Dimension in a Multiresolution Analysis of Normal and Disordered Speech Signals [J].
Ali, Zulfiqar ;
Elamvazuthi, Irraivan ;
Alsulaiman, Mansour ;
Muhammad, Ghulam .
JOURNAL OF MEDICAL SYSTEMS, 2016, 40 (01) :1-10
[6]  
Ali Z, 2013, IEEE GCC CONF EXHIB, P292, DOI 10.1109/IEEEGCC.2013.6705792
[7]  
[Anonymous], SPENDING MORE IN HOM
[8]  
[Anonymous], 1994, DIS VOIC DAT MOD 433
[9]  
[Anonymous], 2015, World Population Ageing
[10]  
[Anonymous], 1995, WORKSH AC VOIC AN SU