The value of the accessory pathway potential in ablation within coronary sinus

Background In accessory pathway-related supraventricular tachycardia ablation, coronary sinus (CS) ablation has received more and more attention, but there are no accurate criteria for catheter selection. Objectives We intended to develop a new method for the reasonable selection of electrode for coronary sinus ablation via assessing the relationship between the accessory pathway (AP) potential and time of successful ablation. Methods Among the patients who had detected the bypass potential during radiofre-quency ablation between 1/1/2015 and 12/31/2019, 30 patients underwent radiofrequency catheter ablation (RFCA) in CS. The relationship between AP potential and time of successful ablation was analyzed. Results In CS ablation, the median baseline amplitude of the AP potentials in patients with successful Temperature control catheter (TCC) ablation was higher than that in patients with Irrigated-tip catheter (ITC) following TCC ablation failure (p = 0.02). The optimal cutoff value of the amplitude of the AP potential to guide the selection of a catheter for ablation was 1.07 mV, and the sensitivity and specificity were 80% and 90%, respectively. Conclusions The AP potential is helpful for the electrode selection in CS ablation.

Incomplete Partition Type III: Computed Tomography Features and Cochlear Implantation Complications

In this case report, we review a male child who presented with severe bilateral hearing loss. Preoperative high-resolution computed tomography (HRCT) evaluation facilitated the initial diagnosis of the disease, which revealed typical findings of cochlear incomplete partition type III anomaly (IP-III), surgical planning, and cochlear implant selection to avoid possible complications. The child underwent cochlear implantation, which resulted in gushing and misplacement of the electrodes into the internal auditory canal (IAC) as postoperative complications. Postoperative imaging was used to determine the position of the implant and to assess the complications. The child’s postoperative X-ray revealed misplacement of the cochlear implant, the extent of which was further assessed by a HRCT scan for preplanning the revision surgery and electrode selection. Following the revision surgery, a further HRCT scan confirmed proper implantation and ruled out any further complications.

Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection

Emotions are essential for the intellectual ability of human beings defined by perception, concentration, and actions. Electroencephalogram (EEG) responses have been studied in different lobes of the brain for emotion recognition. An attempt has been made in this work to identify emotional states using time-domain features, and probabilistic random forest based decision fusion. The EEG signals are collected for this from an online public database. The prefrontal and frontal electrodes, namely Fp1, Fp2, F3, F4, and Fz are considered. Eleven features are extracted from each electrode, and subjected to a probabilistic random forest. The probabilities are employed to Dempster-Shafer’s (D-S) based evidence theory for electrode selection using decision fusion. Results demonstrate that the method suggested is capable of classifying emotional states. The decision fusion based electrode selection appears to be most accurate (arousal F-measure = 77.9%) in classifying the emotional states. The combination of Fp2, F3, and F4 electrodes yields higher accuracy for characterizing arousal (65.1%) and valence (57.9%) dimension. Thus, the proposed method can be used to select the critical electrodes for the classification of emotions.

Radiological measurement of cochlear dimensions in cochlear hypoplasia and its effect on cochlear implant selection

Objective To determine the effect of cochlear dimensions on cochlear implant selection in cochlear hypoplasia patients. Methods Temporal bone computed tomography images of 36 patients diagnosed with cochlear hypoplasia between 2010 and 2016 were retrospectively reviewed and compared with those of 40 controls without sensorineural hearing loss. Results Basal turn length and mid-modiolar height were significantly lower in the cochlear hypoplasia patients with subtypes I, II and III than in the control group (p < 0.001). Mid-scalar length was significantly shorter in subtype I–III patients as compared with the control group (p < 0.001). In addition, cochlear canal length (measured along the lateral wall) was significantly shorter in subtype I–IV patients than in the control group (subtypes I–III, p < 0.001; subtype IV, p = 0.002) Conclusion Cochlear hypoplasia should be considered if basal turn length is less than 7.5 mm and mid-modiolar height is less than 3.42 mm. The cochlear implant should be selected according to cochlear hypoplasia subgroup. It is critically important to differentiate subtype II from incomplete partition type I and subtype III from a normal cochlea, to ensure the most appropriate implant electrode selection so as to optimise cochlear implantation outcomes.

Improving Emotion Analysis for Speech-Induced EEGs Through EEMD-HHT-Based Feature Extraction and Electrode Selection

Emotion detection using EEG signals has advantages in eliminating social masking to obtain a better understanding of underlying emotions. This paper presents the cognitive response to emotional speech and emotion recognition from EEG signals. A framework is proposed to recognize mental states from EEG signals induced by emotional speech: First, speech-evoked emotion cognitive experiment is designed, and EEG dataset is collected. Second, power-related features are extracted using EEMD-HHT, which is more accurate to reflect the instantaneous frequency of the signal than STFT and WT. An extensive analysis of relationships between frequency bands and emotional annotation of stimulus are presented using MIC and statistical analysis. The strongest correlations with EEG signals are found in lateral and medial orbitofrontal cortex (OFC). Finally, the performance of different feature set and classifier combinations are evaluated, and the experiments show that the framework proposed in this paper can effectively recognize emotion from EEG signals with accuracy of 75.7% for valence and 71.4% for arousal.

An Evaluation of the Channel Effect on Detecting the Preictal Stage in Patients With Epilepsy

Decreasing the processor load to an acceptable level challenges researchers as an important threshold in the study of real-time detection and the prediction of epileptic seizures. The main methods in overcoming this problem are feature selection, dimension reduction, and electrode selection. This study is an evaluation of the performances of EEG signals, obtained from different channels in the detection processes of epileptic stages, in epileptic individuals. In particular, it aimed to analyze the separation levels of preictal periods from other periods and to evaluate the effects of the electrode selection on seizure prediction studies. The EEG signals belong to 14 epileptic patients. A feature set was formed for each patient using 20 features widely used in epilepsy studies. The number of features was decreased to 8 using principal component analysis. The reduced feature set was divided into testing and training data, using the cross-validation method. The testing data were classified with linear discriminant analysis and the results of the classification were evaluated individually for each patient and channel. Variability of up to 29.48 % was observed in the average of classification accuracy due to the selection of channels.

The Value of The Accessory Pathway Potential in Guiding The Electrode Selection for Ablation Within Coronary Sinus

Background: The ablation of the coronary sinus (CS) is becoming more and more important in accessory pathway-related supraventricular tachycardia ablation. In comparison with temperature-controlled catheters (TCC), irrigated-tip catheter (ITC) are more expensive and cause more damage in accessory pathway-related supraventricular tachycardia ablation. We intended to develop a new method for the reasonable selection of electrode for coronary sinus(CS) ablation via assessing the relationship between the accessory pathway (AP) potential and time of successful ablation. Methods：Among the patients who had detected the bypass potential during radiofrequency ablation between 1/1/2015 and 12/31/2019. TCC was performed in 330 patients receiving endocardial ablation. 30 patients underwent radiofrequency catheter ablation (RFCA) in CS. The relationship between AP potential and time of successful ablation was analyzed. Results：330 cases of TCC ablation within the endocardium revealed that the amplitude of AP potential was significantly and negatively correlated with the time of successful ablation (r = -0.79, p < 0.001). In CS ablation, the median baseline amplitude of the AP potentials in patients with successful TCC ablation was higher than that in patients with ITC following TCC ablation failure (p = 0.02). The optimal cutoff value of the amplitude of the AP potential to guide the selection of a catheter for ablation was 1.07 mV, and the sensitivity and specificity were 80% and 90%, respectively. Conclusion：The AP potential is helpful for the electrode selection in CS ablation.