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        Time‑frequency analysis of speech signal using Chirplet transform for automatic diagnosis of Parkinson’s disease

        Pankaj Warule,Siba Prasad Mishra,Suman Deb 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.4

        Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorder in the world after Alzheimer’s disease. Early diagnosing PD is challenging as it evolved slowly, and its symptoms eventuate gradually. Recent studies have demonstratedthat changes in speech may be utilized as an excellent biomarker for the early diagnosis of PD. In this study, we haveproposed a Chirplet transform (CT) based novel approach for diagnosing PD using speech signals. We employed CT to get thetime-frequency matrix (TFM) of each speech recording, and we extracted time-frequency based entropy (TFE) features fromthe TFM. The statistical analysis demonstrates that the TFE features reflect the changes in speech that occurs in the speechdue to PD, hence can be used for classifying the PD and healthy control (HC) individuals. The effectiveness of the proposedframework is validated using the vowels and words from the PC-GITA database. The genetic algorithm is utilized to selectthe optimum features subset, while a support vector machine (SVM), decision tree (DT), K-Nearest Neighbor (KNN), andNaïve Bayes (NB) classifiers are employed for classification. The TFE features outperform the breathiness and Mel frequencycepstral coefficients (MFCC) features. The SVM classifier is most effective compared to other machine-learning classifiers. The highest classification accuracy rates of 98% and 99% are achieved using the vowel /a/ and word /atleta/, respectively. The results reveal that the proposed CT-based entropy features effectively diagnose PD using the speech of a person.

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        Design and Modeling of a Capacitor Bank Power Supply for Fast Charging

        Surender Kumar Sharma,Pankaj Deb,R. Shukla,P. Banerjee,T. Prabaharan,R. Das,B. Das,B. Adhikary,A. Shyam 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.61

        Power supplies used in pulsed power applications are rugged, and the capacitor bank charges rapidly. The capacitor bank is fully charged to the rated voltage in a minimum time so as to reduce the dielectric stress on the capacitors and to increase their life. When the capacitor bank is discharged in the load much Electromagnetic Interference (EMI) and Electromagnetic Pulse (EMP) due to high currents discharges is generated, which can damage the electronic circuitry in the power supply if proper shielding & isolation are not provided to it. We have designed and fabricated a compact, rugged and low-cost high voltage (HV) power supply for a 114-kJ, 40-kV capacitor bank. The power supply consists of a high voltage transformer (5.25 kVA, 230 V/35 kV, 50 Hz), a high voltage diode (Semikron Make PIV 110 kV, 150 mA) and a charging resistor placed in a tank filled with oil. The charging resistors value is selected after a PSPICE simulation of the charging circuit for different values of the charging resistor. The charging current is limited with the selected resistor so that it does not exceed the current limit of the HV transformer & diode. The input voltage to the high voltage transformer is given through autotransformer, which rotates from 0 ?230 volts in 40 sec with a single-phase synchronous motor. The capacitor bank is charged to 40 kV in a minute after that, the power supply is decoupled from the capacitor bank by using a pneumatic decoupling switch, then the capacitor bank's switch is triggered to deliver the capacitor bank's energy to the load. Control and protection in the power supply is provided for its safe operation. The monitoring of charging voltage is done with a digital display meter with fiber optic isolation by using a V-F and then F-V converter in order to provide electrical isolation.

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