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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 films 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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First off, what is neural engineering? ====== 
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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 study combines EEG and diffuse correlation spectroscopy to characterize electrical and cerebral blood flow responses during movement.
Recommended citation: Haddix et al. (2017). "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 study evaluates the reliability and validity of the Microsoft Kinect v2 for measuring upper-extremity movement.
Recommended citation: Reither et al. (2018). "Upper Extremity Movement Reliability and Validity of the Kinect v2." Disability and Rehabilitation: Assistive Technology. 13(1). 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 work investigates fractional-order low-pass filtering as an approach for processing and analyzing electroencephalographic signals.
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
Published in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
This study investigates whether autonomic measurements from wearable sensors can help identify preictal changes in patients with refractory epilepsy.
Recommended citation: Al-Bakri et al. (2018). "Noninvasive Seizure Prediction Using Autonomic Measurements in Patients With Refractory Epilepsy." 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2422-2425. https://ieeexplore.ieee.org/abstract/document/8512785
Published in IEEE International Symposium on Signal Processing and Information Technology, 2019
This study compares alpha-rhythm detection using tripolar concentric ring EEG electrodes and conventional disk electrodes.
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. https://ieeexplore.ieee.org/abstract/document/8642782
Published in Journal of Neural Engineering, 2021
This study investigates whether graded levels of motor effort can be decoded from the EEG sensorimotor rhythm for brain-computer interface applications.
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(5). https://doi.org/10.1088/1741-2552/ac23c0
Published in University of Kentucky, 2021
Doctoral dissertation investigating whether graded levels of motor effort can be distinguished from scalp EEG for brain-computer interface applications.
Recommended citation: Haddix, C. A. (2021). "Analysis of Graded Sensorimotor Rhythms for Brain-Computer Interface Applications." Theses and Dissertations--Biomedical Engineering. 74. https://uknowledge.uky.edu/cbme_etds/74/
Published in Neurosurgery, 2024
This paper examines the use of neural interfaces to restore sensorimotor function after tetraplegia, including approaches for reconnecting neural signals with the hand and arm.
Recommended citation: Herring et al. (2024). "Reconnecting the Hand and Arm to the Brain: Efficacy of Neural Interfaces for Sensorimotor Restoration After Tetraplegia." Neurosurgery. 94(4). https://doi.org/10.1227/neu.0000000000002769
Published in Journal of Neural Engineering, 2025
This study investigates a simplified approach for controlling functional electrical stimulation to restore reaching movements, including limb stiffness as a modifiable degree of freedom. The work contributes to the development of neuroprosthetic systems designed to restore upper-limb function following paralysis.
Recommended citation: Johnson et al. (2025). "Simplified Control of Neuromuscular Stimulation Systems for Restoration of Reach With Limb Stiffness as a Modifiable Degree of Freedom." Journal of Neural Engineering. 22(3). https://doi.org/10.1088/1741-2552/adc9e3
Published in Biomedical Physics & Engineering Express, 2025
This study examines how features of the electroencephalogram (EEG) reflect different levels of effort during graded finger extension, with implications for brain-computer interfaces and rehabilitation following hemiparetic stroke.
Recommended citation: Haddix et al. (2025). "Electroencephalogram Features Reflect Effort Corresponding to Graded Finger Extension: Implications for Hemiparetic Stroke." Biomedical Physics & Engineering Express. 11(2). https://doi.org/10.1088/2057-1976/adabeb
Published in NASA Technical Memorandum, 2026
This technical memorandum describes the evaluation and downselection of miniature X-ray systems for future spaceflight applications. A comprehensive ground demonstration evaluated portable X-ray technologies across clinical, engineering, and science applications and used a multi-criteria decision-making approach to identify a system suitable for future flight demonstration and long-duration exploration missions.
Recommended citation: Tokarz, A. E., Myers, J. G., & Haddix, C. A. (2026). "Downselection of Miniature X-Ray System for Spaceflight Applications." NASA Technical Memorandum, NASA/TM-20260002492. https://ntrs.nasa.gov/citations/20260002492
Published in npj Microgravity — In Review, 2026
This work evaluates multi-functional integrated medical devices for future human spaceflight operations, with a focus on the performance and operational considerations of medical technologies designed to provide multiple diagnostic and monitoring capabilities within a constrained exploration medical system.
Recommended citation: Haddix, Miller, and Lewandowski. "Assessing Multi-Functional Integrated Medical Device Performance for Future Space Operations." npj Microgravity. In review.
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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
Quantitative and Computational Methods, , 2026
Experience using computational and quantitative methods to analyze biomedical data, model physiological systems, and extract meaningful information from complex experimental measurements.
Biomedical Engineering Design, , 2026
Experience applying engineering design principles to the development, adaptation, and evaluation of biomedical technologies and experimental systems.
Research Software and Data Analysis, , 2026
Experience developing computational workflows and research software for biomedical engineering, experimental research, signal processing, and data analysis.
Neural Engineering and Brain-Computer Interfaces, , 2026
Extensive experience in neural engineering, with particular expertise in electroencephalography (EEG), neural signal analysis, and brain-computer interface development.
Experimental Design and Translational Research, , 2026
Experience designing and conducting human-subject research across laboratory, clinical, and operational environments.
Technology Evaluation and Validation, , 2026
Experience evaluating biomedical technologies across laboratory, clinical, and operationally relevant environments, with an emphasis on determining whether a system can provide useful and reliable capabilities under real-world constraints.
Physiological Measurement and Analysis, , 2026
Experience acquiring, processing, and interpreting physiological signals across laboratory, clinical, and operational research environments.