Biomedical Signal Processing is one of the key areas in Prosthetics. Electromyogram (EMG) signals are used in Prosthetic designing due to good corporation with biomechanics of human body. The aim of this research is to analyze Surface Electromyogram (SEMG) signal parameters related to upper limb speed and flexion angle for one test subject. SEMG signal acquisition was carried out noninvasively for upper limb elbow flexion with minimal ethical issues. Captured Surface EMG signals were amplified by INA128 amplifier IC and filtered by UAF42 filter IC into 0Hz-500Hz frequency range. Beaglebone Black digital signal processing unit was interfaced with MATLAB R2015a Simulink platform for processing of SEMG signals. Offline SEMG signal speed classification was done using Fast Fourier Transformation and Wavelet Transformation along with MATLAB R2015a software to classify elbow flexion with respect to speed. Graphical representation of Amplitude variations in each transformation results were able to distinguish the fast elbow flexion and slow elbow flexion. . Flexion angle was approximately calculated by goniometer and data were acquired using Arduino ATMEGA 2560 microcontroller. Applying Curve fitting algorithm to correlate SEMG signals with flexion angle will be the future studies. Ultimate goal will be a generalized algorithm for speed classification.

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Cellulose is one of the most widely used natural polymers developed in eco-friendly methods, which has been used in various industrial processes and products since ancient times. The sources of cellulose materials are plant and wood fibers. Cellulosic materials are converted into cellulose nanocrystals (CNCs) using mechanical or chemical methods. In this study, the CNCs were obtained from cotton balls by acid hydrolysis method using sulfuric acid. The sulfuric acid hydrolysis method was performed with 64% (w/w) sulfuric acid and combined using a liquor ratio of 1:20 with cotton balls while being subjected to vigorous stirring at 50 o C for 60 minutes. The cellulose nanocrystals were characterized by Transmission Electron Microscopy (TEM), Fourier Transform Infrared (FTIR) spectroscopy analysis and X-ray Diffraction (XRD) techniques. The extracted cellulose nanocrystals had needle-shaped particles with a 6.35 nm average diameter and a length of 108.8 nm on average. The functional groups of the extracted cellulose nanocrystals were shown to have been evaluated through analysis of the FTIR spectra. Therefore, it was confirmed that the cellulose nanocrystals were successfully extracted from cotton balls using sulfuric acid hydrolysis. The distinctive crystalline cellulose phase of artificial cellulose nanocrystals was recognized using the XRD spectrum.