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About me
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What if muscle control could be re-established for those with paralyzed limbs?
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What once seemed confined to Sci-Fi movies is now a reality, to a degree…
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Sometime we need to go inside the skull to figure out how the brain is behaving. While surgery is needed, the signals can be a lot clearer.
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You may have seen those headcaps with dozens of wires coming from them on TV or in a hospital. But what’s going on?
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What were the first BCIs like? How much better are the ones today?
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Short description of portfolio item number 2
Published in 2017 22nd International Conference on Methods and Models in Automation and Robotics, 2017
This paper is about how combining measurements of electrical brain activity and cerebral blood flow can give better insight into brain dynamics
Recommended citation: Haddix et al. (2019). "Trial measurement of movement-related cortical dynamics using electroencephalography and diffuse correlation spectroscopy." 2017 22nd International Conference on Methods and Models in Automation and Robotics. 642-645. https://ieeexplore.ieee.org/abstract/document/8046903
Published in Disability and Rehabilitation: Assistive Technology, 2018
This paper is about how an inexpensive gaming system can be used in rehabilitation to track movement
Recommended citation: Reither et al. (2018). "Upper Extremity Movement Reliability and Validity of the Kinect v2." Disability and Rehabilitation: Assistive Technology. 1(3). https://www.tandfonline.com/doi/pdf/10.1080/17483107.2016.1278473
Published in Non-Integer Order Calculus and its Applications: 9th International Conference on Non-Integer Order Calculus and Its Applications, 2018
This paper is about how a novel redesign of EEG electrodes improves signal quality.
Recommended citation: Kawala-Janik et al. (2018). "Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals." Non-Integer Order Calculus and its Applications: 9th International Conference on Non-Integer Order Calculus and Its Applications. 63-73. https://books.google.com/books?hl=en&lr=&id=fs5SDwAAQBAJ&oi=fnd&pg=PA63&dq=chase+haddix&ots=6Qruj6rSf8&sig=jEQWmG6I8si9rSGT67neUx37g54#v=onepage&q=chase%20haddix&f=false
Published in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
This paper is about how a novel redesign of EEG electrodes improves signal quality.
Recommended citation: Al-Bakri et al. (2018). "Noninvasive seizure prediction using autonomic measurements in patients with refractory epilepsy." IEEE International Symposium on Signal Processing and Information Technology. 2422-2425. https://ieeexplore.ieee.org/abstract/document/8512785
Published in IEEE International Symposium on Signal Processing and Information Technology, 2019
This paper is about how a novel redesign of EEG electrodes improves signal quality.
Recommended citation: Haddix et al. (2019). "A Comparison of EEG Alpha Rhythm Detection by Tripolar Concentric Ring Electrodes and Conventional Disk Electrodes." IEEE International Symposium on Signal Processing and Information Technology. 1(2). https://ieeexplore.ieee.org/abstract/document/8642782
Published in Journal of Neural Engineering, 2021
This paper is about using EEG to increase command signals for Brain-machine interfaces
Recommended citation: Haddix et al. (2021). "Prediction of Isometric Handgrip Force from Graded Event-Related Desynchronization of the Sensorimotor Rhythm." Journal of Neural Engineering. 18. https://iopscience.iop.org/article/10.1088/1741-2552/ac23c0/pdf
Published in University of Kentucky, 2021
This is my doctoral dissertation. Note it is under embargo until Nov. 08, 2023. Please contact me directly if you are interested in a copy
Recommended citation: Haddix. (2021). "Analysis of Graded Sensorimotor Rhythms for Brain-Computer Interface Applications." Theses and Dissertations--Biomedical Engineering. 74. https://uknowledge.uky.edu/cbme_etds/74/
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Here is my poster from the 2019 Society for Neuroscience Meeting in Chicago, IL
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Here is my poster from the 2019 Society for Neuroscience Meeting, presented virtually
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Here is my poster from the 2022 Society for Neuroscience Meeting in San Diego, CA
MATLAB and some Python, Purdue University, 2012
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Computer-aided Designing, Zimmer, 2014
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EEG, University of Kentucky, 2016
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Technology, University of Kentucky, 2018
After completing the Machine Learning course on Coursera (Stanford), I wrote custom MATLAB scripts to incorporate numerous ML algorithms for decoding EEG data. This include logistic regression, linear discriminant analysis, quadratic discriminant analysis, k-nearest neighbors, and single hidden layer artificial neural networks.
Simultaneous Data Acquistion of Multiple Biosignals , University of Kentucky, 2018
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Rhesus Macque, Cleveland Clinic, 2021
Learned how to deal with monkeys
Single and Multi-Unit Analysis, Cleveland Clinic, 2021
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Computational Modeling of Limb Movement, Cleveland Clinic, 2022
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Invasive Lead Implantation and Explantation, Cleveland Clinic, 2022
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