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T : 목차정보

IEEE transactions on bio-medical engineering 29건

  1. [해외논문]   On the Influence of Heart Rate and Coupling Interval Prematurity on Heart Rate Turbulence   SCI SCIE

    Barquero-Perez, Oscar (Signal Theory and Communications, Telematics and Computing DepartmentRey Juan Carlos University ) , Figuera, Carlos (Signal Theory and Communications, Telematics and Computing DepartmentRey Juan Carlos University ) , Goya-Esteban, Rebeca (Signal Theory and Communications, Telematics and Computing DepartmentRey Juan Carlos University ) , Mora-Jimenez, Inmaculada (Signal Theory and Communications DepartmentMiguel Hernndez University ) , Gimeno-Blanes, Francisco Javier (Biomedical Signal Interpretation and Computational Simulation Group, Aragón Institute of Engineering Research (I3A)IIS Aragón, Universidad de Zaragoza ) , Laguna, Pablo (Biomedical Signal Interpretation and Computational Simulation Group, Aragón Institute of Engineering Research (I3A)IIS Aragón, Universidad de Zaragoza ) , Martinez, Juan Pablo (Biomedical Signal Interpretation and Computational Simulation Group, Aragón Institute of Engineering Research (I3A)IIS Aragón, Universidad de Zaragoza ) , Gil, Eduardo (Department of Biomedical Engineering and the Center of Integrative ElectrocardiologyLund University ) , Sornmo, Leif (Arrhythmia UnitHospital Univers) , Garcia-Alberola, Arcadi , Rojo-Alvarez, Jose Luis
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 302 - 309 , 2017 , 0018-9294 ,

    초록

    Objective: Heart rate turbulence (HRT) has been successfully explored for cardiac risk stratification. While HRT is known to be influenced by the heart rate (HR) and the coupling interval (CI), nonconcordant results have been reported on how the CI influences HRT. The purpose of this study is to investigate HRT changes in terms of CI and HR by means of an especially designed protocol. Methods: A dataset was acquired from 11 patients with structurally normal hearts for which CI was altered by different pacing trains and HR by isoproterenol during electrophysiological study (EPS). The protocol was designed so that, first, the effect of HR changes on HRT and, second, the combined effect of HR and CI could be explored. As a complement to the EPS dataset, a database of 24-h Holters from 61 acute myocardial infarction (AMI) patients was studied for the purpose of assessing risk. Data analysis was performed by using different nonlinear ridge regression models, and the relevance of model variables was assessed using resampling methods. The EPS subjects, with and without isoproterenol, were analyzed separately. Results: The proposed nonlinear regression models were found to account for the influence of HR and CI on HRT, both in patients undergoing EPS without isoproterenol and in low-risk AMI patients, whereas this influence was absent in high-risk AMI patients. Moreover, model coefficients related to CI were not statistically significant, $p > 0.05$ , on EPS subjects with isoproterenol. Conclusion: The observed relationship between CI and HRT, being in agreement with the baroreflex hypothesis, was statistically significant ( $p ), when decoupling the effect of HR and normalizing the CI by the HR. Significance: The results of this study can help to provide new risk indicators that take into account physiological influence on HRT, as well as to model how this influence changes in different cardiac conditions.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

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  2. [해외논문]   Identification of Rotors during Human Atrial Fibrillation Using Contact Mapping and Phase Singularity Detection: Technical Considerations   SCI SCIE

    Kuklik, Pawel (Department of PhysiologyMaastricht University ) , Zeemering, Stef (Department of PhysiologyMaastricht University ) , van Hunnik, Arne (Department of Cardio-thoracic SurgeryMaastricht University Medical Centre ) , Maesen, Bart (Department of CardiologyMaastricht University Medical Centre ) , Pison, Laurent (Centre for Heart Rhythm Disorders, South Australian Health and Medical Research InstituteUniversity of Adelaide and Royal Adelaide Hospital ) , Lau, Dennis H (Department of Cardio-thoracic SurgeryMaastricht University Medical Centre ) , Maessen, Jos (Faculty of PhysicsWarsaw University of Technology ) , Podziemski, Piotr (Department of Cardiology and Electrophysiology, University Heart CenterUniversity Hospital Hamburg-Eppendorf ) , Meyer, Christian (Department of Cardiology and Electrophysiology, University Heart CenterUniversity Hospital Hamburg-Eppendorf ) , Schaffer, Benjamin (Department of CardiologyMaastricht University Medical Centre ) , Crijns, Harry (Department of Cardiology and Electrophysiology, University Heart CenterUniversity Hospital Hamburg-Eppendorf ) , Willems, Stephan (Department of PhysiologyMaastricht University) , Schotten, Ulrich
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 310 - 318 , 2017 , 0018-9294 ,

    초록

    Objective: To explore technical challenges of phase singularity (PS) mapping during atrial fibrillation (AF) using direct contact electrograms. Methods: AF mapping was performed in high-density epicardial recordings of human paroxysmal (PAF) or persistent (PersAF) ( N = 20 pts) AF with an array of 16 × 16 electrodes placed on atrial epicardium. PS points were detected using subsets of electrodes forming rings of varying sizes. Results: PS detection using a 2 × 2 electrode ring identified 0.88 ± 1.00 PS/s in PAF group and 3.91 ± 2.51 per s in PersAF group ( p

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  3. [해외논문]   Overcoming Long-Term Variability in Local Field Potentials Using an Adaptive Decoder   SCI SCIE

    Tadipatri, Vijay Aditya (Department of Electrical and Computer EngineeringThe University of Texas ) , Tewfik, Ahmed H. (Minneapolis VA Health Care System ) , Pellizzer, Giuseppe (Minneapolis VA Health Care System) , Ashe, James
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 319 - 328 , 2017 , 0018-9294 ,

    초록

    Long-term variability remains one of the major hurdles in using intracortical recordings like local field potentials for brain computer interfaces (BCI). Practical neural decoders need to overcome time instability of neural signals to estimate subject behavior accurately and faithfully over the long term. This paper presents a novel decoder that 1) characterizes each behavioral task (i.e., different movement directions under different force conditions) with multiple neural patterns and 2) adapts to the long-term variations in neural features by identifying the stable neural patterns. This adaptation can be performed in both an unsupervised and a semisupervised learning framework requiring minimal feedback from the user. To achieve generalization over time, the proposed decoder uses redundant sparse regression models that adapt to day-to-day variations in neural patterns. While this update requires no explicit feedback from the BCI user, any feedback (explicit or derived) to the BCI improves its performance. With this adaptive decoder, we investigated the effects of long-term neural modulation especially when subjects encountered new external forces against movement. The proposed decoder predicted eight hand-movement directions with an accuracy of 95% over two weeks (when there was no external forces); and 85% in later acquisition sessions spanning up to 42 days (when the monkeys countered external field forces). Since the decoder can operate with or without manual intervention, it could alleviate user frustration associated with BCI.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  4. [해외논문]   Miniaturizing Floating Traps to Increase RF Safety of Magnetic-Resonance-Guided Percutaneous Procedures   SCI SCIE

    Griffin, Gregory H. (Sunnybrook Research Institute ) , Anderson, Kevan J. T. (Department of Medical BiophysicsUniversity of Toronto and also with the Sunnybrook Research Institute) , Wright, Graham A.
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 329 - 340 , 2017 , 0018-9294 ,

    초록

    Objective : MRI in the area of cardiovascular catheter-based interventional procedures is an active field. A common intervention—revascularization of chronic total occlusions, requires a conductive guidewire for revascularization. The mechanical properties of guidewires are paramount to the successful execution of such procedures. Furthermore to benefit from MRI techniques, additional conductors are required to transmit signal from the tip of a catheter. Long thin conductors in MRI systems pose a safety risk in the form of RF heating due to induced RF currents on the conductors. Unfortunately many existing techniques to mitigate this risk require physical modification of the conductors, inevitably resulting in detrimental mechanical tradeoffs in the guidewire. This manuscript proposes a novel application and miniaturization of an existing device, the floating RF trap. The RF trap couples strongly to any thin conductor passing through the trap lumen inducing significant series impedance. This results in reduction of induced RF currents, and thus, heating. Methods and Results : This study shows theoretical and experimental analysis of induced impedance as well as theoretical reduction in heating due to various distributions of traps along the length of a catheter. Results of measuring induced current and heating in phantom experiments are also presented. Through comparison with commercial simulation packages and results of phantom experiments, it is shown that miniaturized RF traps can be modeled accurately, including their induced series impedance and effect on induced RF current. Conclusion and Significance : It was demonstrated that floating RF traps present a feasible method to mitigate RF heating while maintaining important mechanical properties of guidewires.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  5. [해외논문]   Type 2 Diabetes Screening Test by Means of a Pulse Oximeter   SCI SCIE

    Moreno, Enrique Monte (Engineering DepartmentSynmed ) , Lujan, Maria Jose Anyo (SAP Delta del Llobregat. Institut Català) , Rusinol, Montse Torrres (de la Salut ) , Fernandez, Paqui Juarez (SAP Delta del Llobregat. Institut Català) , Manrique, Pilar Nunez (de la Salut ) , Trivino, Cristina Aragon (SAP Delta del Llobregat. Institut Català) , Miquel, Magda Pedrosa (de la Salut ) , Rodriguez, Marife Alvarez (SAP Delta del Llobregat. Institut Català) , Burguillos, M. Jose Gonzalez (de la Salut )
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 341 - 351 , 2017 , 0018-9294 ,

    초록

    In this paper, we propose a method for screening for the presence of type 2 diabetes by means of the signal obtained from a pulse oximeter. The screening system consists of two parts: the first analyzes the signal obtained from the pulse oximeter, and the second consists of a machine-learning module. The system consists of a front end that extracts a set of features form the pulse oximeter signal. These features are based on physiological considerations. The set of features were the input of a machine-learning algorithm that determined the class of the input sample, i.e., whether the subject had diabetes or not. The machine-learning algorithms were random forests, gradient boosting, and linear discriminant analysis as benchmark. The system was tested on a database of $\text{1157}$ subjects (two samples per subject) collected from five community health centers. The mean receiver operating characteristic area found was $\text{69.4}$ % (median value $\text{71.9}$ % and range $[\text{75.4}-\text{61.1}]$ %), with a specificity =  $\text{64}$ % for a threshold that gave a sensitivity =  $\text{65}$ %. We present a screening method for detecting diabetes that has a performance comparable to the glycated haemoglobin (haemoglobin A1c HbA1c) test, does not require blood extraction, and yields results in less than 5 min.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  6. [해외논문]   Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric   SCI SCIE

    Peressutti, Devis (Div. of Imaging Sci. & Biomed. Eng., King's Coll. London, London, UK ) , Gomez, Alberto (Div. of Imaging Sci. & Biomed. Eng., King's Coll. London, London, UK ) , Penney, Graeme P. (Div. of Imaging Sci. & Biomed. Eng., King's Coll. London, London, UK) , King, Andrew P.
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 352 - 361 , 2017 , 0018-9294 ,

    초록

    Objective: 3-D$+t$ echocardiography (3DtE) is widely employed for the assessment of left ventricular anatomy and function. However, the information derived from 3DtE images can be affected by the poor image quality and the limited field of view. Registration of multiview 3DtE sequences has been proposed to compound images from different acoustic windows, therefore improving both image quality and coverage. We propose a novel subspace error metric for an automatic and robust registration of multiview intrasubject 3DtE sequences. Methods: The proposed metric employs linear dimensionality reduction to exploit the similarity in the temporal variation of multiview 3DtE sequences. The use of a low-dimensional subspace for the computation of the error metric reduces the influence of image artefacts and noise on the registration optimization, resulting in fast and robust registrations that do not require a starting estimate. Results: The accuracy, robustness, and execution time of the proposed registration were thoroughly validated. Results on 48 pairwise multiview 3DtE registrations show the proposed error metric to outperform a state-of-the-art phase-based error metric, with improvements in median/75th percentile of the target registration error of 21%/31% and an improvement in mean execution time of 45%. Conclusion: The proposed subspace error metric outperforms sum-of-squared differences and phase-based error metrics for the registration of multiview 3DtE sequences in terms of accuracy, robustness, and execution time. Significance: The use of the proposed subspace error metric has the potential to replace standard image error metrics for a robust and automatic registration of multiview 3DtE sequences.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  7. [해외논문]   Accurate Physics-Based Registration for the Outcome Validation of Minimal Invasive Interventions and Open Liver Surgeries   SCI SCIE

    Oyarzun Laura, Cristina (Competence Center of Visual Healthcare Technologies, Fraunhofer Institute for Computer Graphics Research IGD and with the Graphisch-Interaktive SystemeTechnische Universität Darmstadt ) , Drechsler, Klaus (Competence Center of Visual Healthcare Technologies, Fraunhofer Institute for Computer Graphics Research IGD and with the Graphisch-Interaktive SystemeTechnische Universität Darmstadt ) , Wesarg, Stefan (Department for Microinvasive TherapyUniversity Clinic of Radiology, Innsbruck Medical University) , Bale, Reto
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 362 - 371 , 2017 , 0018-9294 ,

    초록

    Objective: The purpose of this paper is to present an outcome validation tool for tumor radiofrequency (RF) ablation and resection. Methods: Intervention assessment tools require an accurate registration of both pre- and postoperative computed tomographies able to handle big deformations. Therefore, a physics-based method is proposed with that purpose. To increase the accuracy both automatically detected internal and surface physical landmarks are incorporated in the registration process. Results: The algorithm has been evaluated in 25 clinical datasets containing RF ablations, resections, and patients with recurrent tumors. The achieved accuracy is 1.2 mm measured as mean internal distance between vessel landmarks and a positive predictive value of 0.95. The quantitative and qualitative results of the outcome validation tool show that in 50% of the cases tumors were only partially covered by the treatment. Conclusion: The use of internal and surface landmarks combined with a physics-based registration method increases the accuracy of the results compared to the accuracy of state of the art methods. An accurate outcome validation tool is important in order to certify that the tumor and its safety margin were fully covered by the treatment. Significance: An accurate outcome validation tool can result in a decrease of the tumor recurrence rate.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  8. [해외논문]   S1 and S2 Heart Sound Recognition Using Deep Neural Networks   SCI SCIE

    Chen, Tien-En (Division of Cardiology, Department of Internal Medicine, China Medical University Hospital and with Medical College, China Medical University, Taichung, Taiwan ) , Yang, Shih-I (Department of Emergency MedicineEveran Hospital ) , Ho, Li-Ting (National Taiwan University College of Medicine ) , Tsai, Kun-Hsi (iMediPlus Inc. ) , Chen, Yu-Hsuan (Division of Chest MedicineDepartment of Internal Medicine, Cheng Hsin General Hospital ) , Chang, Yun-Fan (Research Center for Information Technology Innovation, Academia Sinica ) , Lai, Ying-Hui (Research Center for Information Technology Innovation, Academia Sinica ) , Wang, Syu-Siang (Research Center for Information Technology Innovation, Academia Sinica ) , Tsao, Yu (National Taiwan University College of Medicine) , Wu, Chau-Chung
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 372 - 380 , 2017 , 0018-9294 ,

    초록

    Objective : This study focuses on the first (S1) and second (S2) heart sound recognition based only on acoustic characteristics; the assumptions of the individual durations of S1 and S2 and time intervals of S1–S2 and S2–S1 are not involved in the recognition process. The main objective is to investigate whether reliable S1 and S2 recognition performance can still be attained under situations where the duration and interval information might not be accessible. Methods : A deep neural network (DNN) method is proposed for recognizing S1 and S2 heart sounds. In the proposed method, heart sound signals are first converted into a sequence of Mel-frequency cepstral coefficients (MFCCs). The K-means algorithm is applied to cluster MFCC features into two groups to refine their representation and discriminative capability. The refined features are then fed to a DNN classifier to perform S1 and S2 recognition. We conducted experiments using actual heart sound signals recorded using an electronic stethoscope. Precision, recall, F-measure, and accuracy are used as the evaluation metrics. Results : The proposed DNN-based method can achieve high precision, recall, and F-measure scores with more than 91% accuracy rate. Conclusion : The DNN classifier provides higher evaluation scores compared with other well-known pattern classification methods. Significance : The proposed DNN-based method can achieve reliable S1 and S2 recognition performance based on acoustic characteristics without using an ECG reference or incorporating the assumptions of the individual durations of S1 and S2 and time intervals of S1–S2 and S2–S1.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  9. [해외논문]   Maximizing Information Transfer in SSVEP-Based Brain–Computer Interfaces   SCI SCIE

    Sengelmann, Malte , Engel, Andreas K. , Maye, Alexander
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 381 - 394 , 2017 , 0018-9294 ,

    초록

    Compared to the different brain signals used in brain–computer interface (BCI) paradigms, the s teady-state visually evoked potential (SSVEP) features a high signal to noise ratio, enabling reliable and fast classification of neural activity patterns without extensive training requirements. In this paper, we present methods to further increase the information transfer rates (ITRs) of SSVEP-based BCIs. Starting with stimulus parameter optimizations methods, we develop an improved approach for the use of Canonical correlation analysis and analyze properties of the SSVEP when the user fixates a target and during transitions between targets. These transitions show a negative effect on the system's ITR which we trace back to delays and dead times of the SSVEP. Using two classifier types adapted to continuous and transient SSVEPs and two control modes (fast feedback and fast input), we present a simulated online BCI implementation which addresses the challenges introduced by transient SSVEPs. The resulting system reaches an average ITR of 181 Bits/min and peak ITR values of up to 295 Bits/min for individual users.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  10. [해외논문]   A Computer-Aided Diagnosis System With EEG Based on the P3b Wave During an Auditory Odd-Ball Task in Schizophrenia   SCI SCIE

    Santos-Mayo, Lorenzo (Department of Electrical Engineering, University of Valladolid, Valladolid, Spain ) , San-Jose-Revuelta, Luis M. (Department of Electrical Engineering, University of Valladolid, Valladolid, Spain) , Arribas, Juan Ignacio
    IEEE transactions on bio-medical engineering v.64 no.2 ,pp. 395 - 407 , 2017 , 0018-9294 ,

    초록

    Objective : To design a Computer-aided diagnosis (CAD) system using an optimized methodology over the P3b wave in order to objectively and accurately discriminate between healthy controls (HC) and schizophrenic subjects (SZ). Methods : We train, test, analyze, and compare various machine learning classification approaches optimized in terms of the correct classification rate (CCR), the degenerated Youden's index (DYI) and the area under the receiver operating curve (AUC). CAD system comprises five stages: electroencephalography (EEG) preprocessing, feature extraction, seven electrode groupings, discriminant feature selection, and binary classification. Results : With two optimal combinations of electrode grouping, filtering, feature selection algorithm, and classification machine, we get either a mean CCR = 93.42%, specificity = 0.9673, sensitivity = 0.8727, DYI = 0.9188, and AUC = 0.9567 (total-15 Hz-J5-MLP), or a mean CCR = 92.23%, specificity = 0.9499, sensitivity = 0.8838, DYI = 0.9162, and AUC = 0.9807 (right hemisphere-35 Hz-J5-SVM), which to our knowledge are higher than those available to date. Conclusions : We have verified that a more restrictive low-pass filtering achieves higher CCR as compared to others at higher frequencies in the P3b wave. In addition, results validate previous hypothesis about the importance of the parietal-temporal region, associated with memory processing, allowing us to identify powerful {feature,electrode} pairs in the diagnosis of schizophrenia, achieving higher CCR and AUC in classification of both right and left Hemispheres, and parietal-temporal EEG signals, like, for instance, the {PSE, P4} pair (J5 and mutual information feature selection). Significance : Diagnosis of schizophrenia is made thoroughly by psychiatrists but as any human-based decision that has a subjective component. This CAD system provides the human expert with an objective complimentary measure to help him in diagnosing schizophrenia.

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