Project 1: High-throughput system for automated non-invasive monitoring of mouse sleep and behavior• Completely restructured the system’s software using a Producer/Consumer architecture to increase maintainability and scalability• Added computation and display of signal extracted features such as power spectrum and breath rate frequency to facilitate real-time observation of animal sleep-wake behavior• Scaled the software to synchronously handle multiple data-acquisition cards in a… Show more Project 1: High-throughput system for automated non-invasive monitoring of mouse sleep and behavior• Completely restructured the system’s software using a Producer/Consumer architecture to increase maintainability and scalability• Added computation and display of signal extracted features such as power spectrum and breath rate frequency to facilitate real-time observation of animal sleep-wake behavior• Scaled the software to synchronously handle multiple data-acquisition cards in a master-slave configurationProject 2: Developed an animal sleep modulation software for use with epilepsy related research • The software drives and controls a tactile transducer attached under an animal cage enabling the user to modulate sleep via perturbation • The software can also record the animal pressure and motion data using a piezoelectric sensor pad for sleep-wake behavior classification Project 3: Implemented a 3 compartment pharmacokinetic (PK) model for anesthetic drug diffusion • The PK model will serve as a module for a clinical anesthesia depth monitoring software, currently under development.Project 4: Speckle tracking for estimating direction and distance of motion of a robotic platform• Developed a software application to communicate with the speckle sensor and provide real time estimates of the displacement in the x and y direction to be used as feedback for motion control Project 5: Predictive modeling for automatic detection of mouse sleep and behavior using a piezoelectric motion sensor Show less

• Designed and initiated a study, as a principal investigator, exploring the mechanisms through which physical therapy (i.e. spinal manipulation) alleviates acute non-specific low-back pain (LBP).• Developed a data acquisition software for interfacing accelerometers, laser displacement sensors, electromyography, and load cells to study trunk and spine biomechanics.• Developed signal processing and feature extraction algorithms to elucidate the LBP mechanisms.

• Conducted experiments and used mathematical modeling to investigate the role of cardiac electrical properties in genesis of dysfunctions of the heart.• Used time and frequency domain analysis to study characteristics of a system used to predict electrical instability in the heart• Developed programs for controlling analog and digital stimulators using LabVIEW • Developed a program in LabVIEW for real-time implementation of feedback based stimulating protocol for heart tissues; Key… Show more • Conducted experiments and used mathematical modeling to investigate the role of cardiac electrical properties in genesis of dysfunctions of the heart.• Used time and frequency domain analysis to study characteristics of a system used to predict electrical instability in the heart• Developed programs for controlling analog and digital stimulators using LabVIEW • Developed a program in LabVIEW for real-time implementation of feedback based stimulating protocol for heart tissues; Key features included real-time sample acquisition and processing in under 200 micro-seconds and using feedback to drive a stimulator to deliver bi-phasic pulses with an accuracy of less than 1 millisecond of the target time• Developed a program in LabVIEW capable of parallel operations of image acquisition and storage for use with a high speed CCD camera; Parallel processing allowed acquisition and storage of very large size data within seconds• Developed a program using MATLAB for landmark (dots marked on heart tissue) tracking to approximate local strain distributions post stretch of tissue. Image analysis included landmark segmentation via thresholding; followed by smoothening, labeling, and centroid approximation of labeled regions.• Using optical data captured with a CCD camera to make isochronal and isopotential maps and movies to detect patterns in spread of electrical activation over the heart surface. Image analysis included masking, data extraction, and filtering. Show less

• Biomedical Signal Processing I [graduate level course] • Biomedical Instrumentation [graduate level course]