Biocybernetics and Biomedical Engineering This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A novel multi-class approach for early-stage prediction of sudden cardiac death
Publication date: Available online 1 June 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Reeta Devi, Hitender Kumar Tyagi, Dinesh KumarAbstractSudden cardiac death (SCD) is a complex issue that may occur in population groups with either known or unknown cardiovascular disease (CVD). Given the complex nature of SCD, the discovery of a suitable biomarker will prove essential in identifying individuals at risk of SCD, while discriminating it from patients with other cardiac pathologies as well as healthy individuals. Thus, this study aimed to develop an efficient approach to support a better comprehension of ...
Source: Biocybernetics and Biomedical Engineering - June 2, 2019 Category: Biomedical Engineering Source Type: research

Computational intelligence techniques for medical diagnosis and prognosis: Problems and current developments
Publication date: Available online 1 June 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Afzal Hussain Shahid, M.P. SinghAbstractDiagnosis, being the first step in medical practice, is very crucial for clinical decision making. This paper investigates state-of-the-art computational intelligence (CI) techniques applied in the field of medical diagnosis and prognosis. The paper presents the performance of these techniques in diagnosing different diseases along with the detailed description of the data used. This paper includes basic as well as hybrid CI techniques that have been used in recent years so as to...
Source: Biocybernetics and Biomedical Engineering - June 2, 2019 Category: Biomedical Engineering Source Type: research

Numerical study of non-Fourier thermal ablation of benign thyroid tumor by focused ultrasound (FU)
In this study, focused ultrasound (FU) is used to produce irreversible thermal damage for the treatment of benign thyroid tumor. To this end, a multi-layer model of the neck including internal organs from the skin toward the thyroid gland is exposed to ultrasound irradiation at powers of 3 W, 5 W, and 7 W and at the frequency of 3 MHz. It is observed that the acoustic pressure is noticeably increased by considering different neck's internal organs. The temperature profile is obtained by taking into account the non-Fourier thermal response for the thyroid gland. The thermal wave model and dual phase lag ...
Source: Biocybernetics and Biomedical Engineering - June 2, 2019 Category: Biomedical Engineering Source Type: research

A new method of diagnosing athlete's anterior cruciate ligament health status using surface electromyography and deep convolutional neural network
Publication date: Available online 25 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Mehran Hatamzadeh, Reza Hassannejad, Ali SharifnezhadAbstractAnterior cruciate ligament (ACL) injury is one of the most common injuries in high-demand sports. Due to long-term treatment of this injury, diagnosing recovery of ACL becomes important, particularly six months postoperatively. The purpose of this research is to provide a cost-effective and intelligent method to diagnose ACL's health status. For this purpose, 11 healthy and 27 ACL-injured subjects have been selected. In the proposed method, the athlete perfor...
Source: Biocybernetics and Biomedical Engineering - May 26, 2019 Category: Biomedical Engineering Source Type: research

A fully automatic computer-aided diagnosis system for hepatocellular carcinoma using convolutional neural networks
Publication date: Available online 26 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Jing Li, Yurun Wu, Nanyan Shen, Jiawen Zhang, Enlong Chen, Jie Sun, Zongqian Deng, Yuchen ZhangAbstractThe cancer of liver, which is the leading cause of cancer death, is commonly diagnosed by comparing the changes of gray level of liver tissue in the different phases of the patient's CT images. To aid the doctor in reducing misdiagnosis or missed diagnosis, a fully automatic computer-aided diagnosis (CAD) system is proposed to diagnose hepatocellular carcinoma (HCC) using convolutional neural network (CNN) classifier....
Source: Biocybernetics and Biomedical Engineering - May 26, 2019 Category: Biomedical Engineering Source Type: research

Multi-channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors
Publication date: Available online 23 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Saravanan Alagarsamy, Kartheeban Kamatchi, Vishnuvarthanan Govindaraj, Yu-Dong Zhang, Arunprasath ThiyagarajanAbstractSegregation of tumor region in brain MR image is a prominent task that instantly provides easier tumor diagnosis, which leads to effective radiotherapy planning. For decades together, several segmentation methods for a brain tumor have been presented and until now, enhanced tumor segmentation procedure tends to be a challenging task because, MR images are mostly inbred with varied tumor dimensions of di...
Source: Biocybernetics and Biomedical Engineering - May 23, 2019 Category: Biomedical Engineering Source Type: research

Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels
In this study, a novel method to automatically detect Parkinson's disease (PD) using vowels is proposed. A combination of minimum average maximum (MAMa) tree and singular value decomposition (SVD) are used to extract the salient features from the voice signals. A novel feature signal is constructed from 3 levels of MAMa tree in the preprocessing phase. The SVD operator is applied to the constructed signal for feature extraction. Then 50 most distinctive features are selected using relief feature selection technique. Finally, k nearest neighborhood (KNN) with 10-fold cross validation is used for the classification. We have ...
Source: Biocybernetics and Biomedical Engineering - May 19, 2019 Category: Biomedical Engineering Source Type: research

Breast cancer diagnosis using abnormalities on ipsilateral views of digital mammograms
This study aims at developing algorithms which improve accuracy of computer-aided diagnosis (CADx) for analyzing breast abnormalities on ipsilateral views. The proposed system is a fusion of single and two view systems. Single view approach detects and characterizes suspicious lesions on craniocaudal (CC) and medio-lateral oblique (MLO) view separately using geometric and textural features. Lesions detected on each view are paired with potential lesions on another view. The proposed algorithm computes the correspondence score of each lesion pair. Single view information is fused with two views correspondence score to discr...
Source: Biocybernetics and Biomedical Engineering - May 19, 2019 Category: Biomedical Engineering Source Type: research

Parkinson disease prediction using intrinsic mode function based features from speech signal
In this study, empirical mode decomposition (EMD) based features are demonstrated to capture the speech characteristics. A new feature, intrinsic mode function cepstral coefficient (IMFCC) is proposed to efficiently represent the characteristics of Parkinson speech. The performances of proposed features are assessed with two different datasets: dataset-1 and dataset-2 each having 20 normal and 25 Parkinson affected peoples. From the results, it is demonstrated that the proposed intrinsic mode function cepstral coefficient feature provides superior classification accuracy in both datasets. There is a significant increase of...
Source: Biocybernetics and Biomedical Engineering - May 17, 2019 Category: Biomedical Engineering Source Type: research

Design and development of an intelligent biomechatronic tumor prosthesis
In this study, a biomechatronic tumor prosthesis which is able to determine the need for extension by means of its hardware and intelligent control structure was developed to eliminate the aforementioned problems. Mechanical analysis of the designed prosthesis has been performed in the simulation environment, the prototype of the prosthesis has been produced, wireless communication and control system have been created and the performance of the system has been tested on the experimental setup. Limb length differences (LLDs) of 1 mm and above between the healthy limb and the limb with a prosthesis were able to be detec...
Source: Biocybernetics and Biomedical Engineering - May 16, 2019 Category: Biomedical Engineering Source Type: research

Mediastinal lymph node malignancy detection in computed tomography images using fully convolutional network
Publication date: Available online 15 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Hitesh Tekchandani, Shrish Verma, Narendra D. LondheAbstractDifferential diagnosis of malignant and benign mediastinal lymph nodes (LNs) through invasive pathological tests is a complex and painful procedure because of sophisticated anatomical locations of LNs in the chest. The image based automatic machine learning techniques have been attempted in the past for malignancy detection. But these conventional methods suffer from complex selection of hand-crafted features and trade-off between performance parameters due to...
Source: Biocybernetics and Biomedical Engineering - May 16, 2019 Category: Biomedical Engineering Source Type: research

A new multi-attractor model for the human posture stability system aimed to follow self-organized dynamics
Publication date: Available online 2 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Mahdi Yousefi Azar Khanian, Seyed Mohammad Reza Hashemi Golpayeghani, Mostafa RostamiAbstractHuman postural stability is a complex nonlinear system, which naturally exhibits coexisting attractors and influenced by various factors. This system continuously requires to employ the self-organization mechanisms to maintain postural stability. This functionality is equivalent to switching the system dynamics among its attractors. The aim of our study is to follow the variations of the postural dynamics at different time inter...
Source: Biocybernetics and Biomedical Engineering - May 3, 2019 Category: Biomedical Engineering Source Type: research

Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier
Publication date: Available online 1 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Asit Subudhi, Manasa Dash, Sukanta SabutAbstractMagnetic resonance imaging (MRI) is effectively used for accurate diagnosis of acute ischemic stroke. This paper presents an automated method based on computer aided decision system to detect the ischemic stroke using diffusion-weighted image (DWI) sequence of MR images. The system consists of segmentation and classification of brain stroke into three types according to The Oxfordshire Community Stroke Project (OCSP) scheme. The stroke is mainly classified into partial ant...
Source: Biocybernetics and Biomedical Engineering - May 2, 2019 Category: Biomedical Engineering Source Type: research

Quantitative and qualitative assessment of the impact of osteoporosis on endplate layers
Publication date: Available online 1 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Magdalena Wojtków, Zdzisław Kiełbowicz, Janusz Bieżyński, Celina PezowiczAbstractThe endplate (EP) is a composite structure made of osseous and cartilage components that separates the intervertebral disc from the vertebral body. As an intermediary link between rigid bone tissue and the flexible intervertebral disc, EP is affected by structural changes as well as changes in biomechanical properties of both these elements caused by pathological changes in the spine. One of the modern civilization hazards related to t...
Source: Biocybernetics and Biomedical Engineering - May 2, 2019 Category: Biomedical Engineering Source Type: research

Biomechanical evaluation of resorbable and titanium miniplates and of single and double miniplates for the treatment of mandibular condyle fractures
Publication date: Available online 1 May 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Suzan Cansel Dogru, Erol Cansiz, Yunus Ziya ArslanAbstractMandibular condyle fractures are one of the most common facial bone fractures, and open reduction, which involves implanting miniplates to ensure rigid fixation of the fractured surfaces, is the standard treatment. The aim of this study was to compare the stress fields of resorbable and titanium miniplates and of single and double miniplates by taking the displacement between the fracture surfaces (interfragmentary displacement) into account. Three-dimensional ma...
Source: Biocybernetics and Biomedical Engineering - May 2, 2019 Category: Biomedical Engineering Source Type: research