Chase Haddix, PhD

Chase Haddix, PhD

Senior Biomedical Engineering Researcher

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publications

Trial Measurement of Movement-Related Cortical Dynamics Using Electroencephalography and Diffuse Correlation Spectroscopy

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

Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals

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

Noninvasive Seizure Prediction Using Autonomic Measurements in Patients With Refractory Epilepsy

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

A Comparison of EEG Alpha Rhythm Detection by Tripolar Concentric Ring Electrodes and Conventional Disk Electrodes

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

Prediction of Isometric Handgrip Force from Graded Event-Related Desynchronization of the Sensorimotor Rhythm

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

Reconnecting the Hand and Arm to the Brain: Efficacy of Neural Interfaces for Sensorimotor Restoration After Tetraplegia

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

Simplified Control of Neuromuscular Stimulation Systems for Restoration of Reach With Limb Stiffness as a Modifiable Degree of Freedom

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

Electroencephalogram Features Reflect Effort Corresponding to Graded Finger Extension: Implications for Hemiparetic Stroke

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

Downselection of Miniature X-Ray System for Spaceflight Applications

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

Assessing Multi-Functional Integrated Medical Device Performance for Future Space Operations

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.

talks

teaching

Computational Modeling & Data Analysis

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.

Engineering Design & Prototyping

Biomedical Engineering Design, , 2026

Experience applying engineering design principles to the development, adaptation, and evaluation of biomedical technologies and experimental systems.

Programming & Scientific Computing

Research Software and Data Analysis, , 2026

Experience developing computational workflows and research software for biomedical engineering, experimental research, signal processing, and data analysis.

EEG & Neuroengineering

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.

Human-Subject & Translational Research

Experimental Design and Translational Research, , 2026

Experience designing and conducting human-subject research across laboratory, clinical, and operational environments.

Medical Device Evaluation & Operational Testing

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.