Iwan Yahya

Premature ventricular contraction detection using swarm-based support vector machine and QRS wave features

A novel strategy for detecting Premature Ventricular Contraction (PVC) is proposed and investigated. The strategy employs a Swarm-based Support Vector Machine (SSVM). An SSVM is an SVM optimised by using Particle Swarm Optimisation (PSO). The strategy proposes new inputs. The inputs involve the width and the gradient of the electrocardiographic QRS wave. Experiments with different inputs and different SVM kernel functions are conducted to find the best one for PVC detection. On a test using clinical data, SSVM performs well in PVC detection with sensitivity, specificity and accuracy of 98.94%, 99.99% and 99.46%, respectively.

Perfect sound insulation property of reclaimed waste tire rubber

This article reports an experimental investigation of sound insulation and absorption performance of a materials made of reclaimed ground tire rubber which is known as un-recyclable thermoset. The bulk waste tire is processed using single step recycling methods namely high-pressure high-temperature sintering (HPHTS). The bulk waste tire is simply placed into a mold and then a pressure load of 3 tons and a heating temperature of 200°C are applied to the mold. The HPHTS conducted for an hour and then it is cooled in room temperature. The resulted product is then evaluated the acoustical properties namely sound transmission loss (STL) and sound absorption coefficient using B&K Tube Kit Type 4206-T based on ISO 10534-2, ASTM E1050 and ASTM E2611. The sound absorption coefficient is found about 0.04 until 0.08 while STL value ranges between 50 to 60 dB. The sound absorption values are found to be very low (<0.1), while the average STL is higher than other elastomeric matrix found in previous work. The reclaime...

On the Sound Absorption Improvement of Water Hyacinth and Coconut Husk based Fiber Reinforced Polymer Panel

This paper emphasizes on the sound absorption improvement of the water hyacinth and coconut husk based fiber reinforced polymer (FRP) panel. The dry water hyacinth and coconut husk were milled and sieved before it mixed with polyester and methyl ethyl ketone peroxide as the catalyst. The composition is 200 ml, 25 grams, and 20 ml for the polyester, fiber, and catalyst respectively. The mixture casting is by using a square tray to form a flat FRP panel through open air drying without any compaction process. Three different approaches i.e. multiple quarter wavelength resonators, air cavity, and front fibrous layer inclusion are implemented to the FRP to improve its sound absorption performance. The entire measurements conducted by using transfer function based impedance tube technique refer to ASTM E-1050-98 standard. B&K 4206. It found that the proposed approaches are increase sound absorption coefficient of the bulk FRP significantly. The best performance occurred on the coconut husk based FRP when the 8 of quarter wavelength resonators combined with the fibrous layer. Sound absorption increased accordingly to above of 0.7 starting from 1.5 kHz. On the other side, the air cavity shows similar influence on the entire test sample due to Helmholtz resonance mechanism.

Atrial fibrillation detection using support vector machine and electrocardiographic descriptive statistics

This paper proposes a new technique for detecting atrial fibrillation (AF). The method employs electrocardiographic features and support vector machine (SVM). The features include descriptive statistics of electrocardiographic RR interval. The RR interval is the distance in time between two consecutive R-peaks of electrocardiogram. AF detections using SVM with different electrocardiographic features and different SVM free parameters are explored. Employing SVM with the optimal free parameters and all the proposed electrocardiographic features, we find an AF detection technique with a comparable performance. The best performance obtained by the technique is 98.47% and 97.84%, in terms of sensitivity and specificity.

Premature ventricular contraction detection using artificial neural network developed in android application

We have conducted a study of detection system for premature ventricular contraction (PVC) developed in an android mobile phone. The system utilizes artificial neural network (ANN) with electrocardiographic (ECG) features of RR interval and QRS width. RR Interval and QRS width is Interval in ECG waveform. The algorithms of the detection are implemented using JAVA Eclipse Juno. The system is examined using electrocardiography of patients provided by Physionet MIT-BIH. The feature number is varied and the best result is found when both features RR interval and QRS width are applied with the performances of 94.58%, 96.59% and 96.29% in terms of sensitivity, specificity and accuracy.

Atrial fibrillation detection using support vector machine

This article introduces a new method for detection of atrial fibrillation (AFib) using a support vector machine (SVM). AFib could lead to heart failure and stroke and thus an AFib early detection is very important. In this article, an SVM and variabilities of electrocardiographic heart rate are employed to detect AFib. Radial basis functions (RBF) is utilized for SVM. Different SVM constructions are tested to find the best one. Furthermore, two features of electrocardiogram are examined as the inputs of SVM. Using clinical electrocardiogram, the proposed method find the performance of 95.81 %, 98.44% and 97.50% in terms of sensitivity, specificity and accuracy.

Cavity Sound Pressure Enhancement of the Second Generation Power Generating Helmholtz Resonator with X-shaped Cavity Junction

Cavity sound pressure level is a very important measure when dealing with the design of resonator based power generating sound absorbers and sound diffusers. This paper presents results from experimental study of the performance of the second generation iARG-X2 power generating Helmholtz resonator. The use of specific Xshaped extention for the cavity junction could encrease the sound pressure inside the cavity up to 16 dB above of the similar resonator without extention. The experiment was conducted with various types sound source, i.e. single tone, dual sine, and random noise that all resulting similar cavity sound pressure increment pattern. It brings new possibility for the development of power generating sound absorber and sound diffuser which is very usefull in green modern life style both for indoor and outdoor noise control applications.