Other Biomedical Engineering and Bioengineering Commons^™

Use Of Generative Ai Tools In An Undergraduate Engineering Design Course, Wei Yin, Esther Ocharo, Lillian Best, Harrison Martin

International Journal of Transformative Teaching and Learning in Higher Education

Generative AI tools are widely used by college students. This study aimed to investigate the best ways to teach students the limits of AI, especially in hands-on engineering classes. A class project in a sophomore biomedical engineering class was used to test the effectiveness of generative AI tools in supporting engineering CAD design and 3D modeling. Students were tasked with designing a finger basketball toy, creating 2D engineering drawings, and creating a physical prototype using 3D modeling and printing. Students used ChatGPT, Copilot, and Gemini to support the completion of the design project. Students’ manual work demonstrated satisfactory skills in …

Comparative Analysis Of Takagi-Sugeno And Mamdani Fuzzy Inference Architectures With Anfis-Based Automated Rule Generation For Eeg-Based Cognitive State Monitoring, Amina Radončić, Mehrija Hasičić, Jasmin Kevrić

Communications of the IIMA

Fuzzy inference systems have demonstrated considerable promise for EEG-based cognitive state monitoring in neurodegenerative conditions. However, two design decisions significantly influence system performance and clinical applicability: the choice of inference architecture (Takagi-Sugeno vs Mamdani) and the method of rule and membership function generation (manual expert-driven vs data-driven automated). This paper presents a comparative analysis of both dimensions in the context of an EEG-based Alzheimer’s disease monitoring system operating on the ds004504 OpenNeuro dataset (88 subjects: 36 AD, 23 FTD, 29 HC). A Takagi-Sugeno system, implemented as a hybrid FSM-Fuzzy architecture, is compared against a Mamdani equivalent across four axes: inference …

Leveraging Genai For Biometric Voice Print Authentication, Erica Brooks, Lijo Jacob, Lani Lewis, Gaurav Mittal, Shivam Negi, Faizan Javed

SMU Data Science Review

This paper presents the development of a secure voice authentication system that delivers an inclusive solution for all users, including those with disabilities. Leveraging a Text-Dependent Active Verification process, the system combines a spoken passphrase with voice biometric coefficients and audio vector embeddings for reliable user verification. A vector database is used to efficiently store data and perform similarity retrieval. Initially, the system achieves a 71% spoof detection accuracy, ensuring that only genuine samples proceed to the embedding stage, where it attains a 55.21% accuracy in vector embedding and similarity retrieval. Furthermore, this approach paves the way for user-specific voice-controlled …

Full Body Harness Design Modifications And Evaluation: A Senior Design Project, Martin Mead, Jordan Von Seggern

The Journal of Undergraduate Research

Full-body harness (FBH) is critical for the safe operation of industrial and recreational activities, from installing and maintaining infrastructure such as wind turbines to ziplining and mountaintop adventures. However, harness design remains in the proprietary information of companies with limited technical information available for improvements or readjustments to specialized applications. As the outcome of the Capstone project, the paper focuses on multiple technical aspects and the engineering processes for designing FBH for ziplining recreational users, from selecting and testing materials for operation in cold weather to improvements in design and manufacturing for user comfort. The project is guided by technical …

Working Out The Kinks: Creating Solutions To Assist Health Care Workers To Take Vital Signs Through Effective Cable Management, Carl R. Russell Iii, Emily J. Linder, Maya A. Godbole

Purdue Journal of Service-Learning and International Engagement

EPICS (Engineering Projects in Community Service) is a service-learning design program run through Purdue University. It strives to teach students design skills through providing solutions for individuals, communities, and organizations in the surrounding area while mirroring engineering industry standards. BME (Bio-medical Engineering) is a team within EPICS that strives to serve community partners through biomedical applications. Members of a health care team often spend valuable time organizing cables associated with machines used to take patients’ vital signs. Due to time constraints and the fast-paced work environment, these cables may be mismanaged and damaged. The BME team is working on a …

Convergence Properties Of Solutions Of A Length-Structured Density-Dependent Model For Fish, Geigh Zollicoffer

Rose-Hulman Undergraduate Mathematics Journal

We numerically study solutions to a length-structured matrix model for fish populations in which the probability that a fish grows into the next length class is a decreasing nonlinear function of the total biomass of the population. We make conjectures about the convergence properties of solutions to this equation, and give numerical simulations which support these conjectures. We also study the distribution of biomass in the different age classes as a function of the total biomass.

Urine Volume Reduction During Long-Duration Cave Exploration By A Light-Weight And Portable Forward Osmosis System, Sebastian Engelhardt, Katey E. Bender, Jörg Vogel, Stephen E. Duirk, Francisco B. Moore, Hazel A. Barton

International Journal of Speleology

The preservation of caves is a challenge during long-duration cave expeditions where human waste can add significant nitrogen to the cave ecosystem. Since the removal of urine that accumulates during a multi-day caving trip is not always feasible due to weight and volume constraints, a light-weight and portable filtration system that is capable of reducing urine volume would be desirable. In this study we tested the Aquaporin Inside hollow fiber membrane in a forward osmosis (FO) setup to evaluate its capability to reduce urine volume while rejecting nitrogenous compounds using different draw solution chemistries and water recovery rates. As a …

Comparison Of Machine Learning Models: Gesture Recognition Using A Multimodal Wrist Orthosis For Tetraplegics, Charlie Martin

The Journal of Purdue Undergraduate Research

Many tetraplegics must wear wrist braces to support paralyzed wrists and hands. However, current wrist orthoses have limited functionality to assist a person’s ability to perform typical activities of daily living other than a small pocket to hold utensils. To enhance the functionality of wrist orthoses, gesture recognition technology can be applied to control mechatronic tools attached to a novel fabricated wrist brace. Gesture recognition is a growing technology for providing touchless human-computer interaction that can be particularly useful for tetraplegics with limited upper-extremity mobility. In this study, three gesture recognition models were compared—two dynamic time-warping models and a hidden …

Mathematically Modeling Fetal Electrocardiograms, Samuel Estes, Kiersten Utsey, Erick Kalobwe

Pursuit - The Journal of Undergraduate Research at The University of Tennessee

Abstract

Some of the most common and fatal birth defects are those related to the heart. In adults, possible heart conditions are often identified through the use of an electrocardiogram (ECG). However, due to the presence of other signals and noise in the recording, fetal electrocardiography has not yet proven effective in diagnosing these defects. This paper develops a mathematical model of three-dimensional heart vector trajectories, which was used to generate synthetic maternal and fetal ECG signals. The dipole model is a useful simplification in which the electrical activity of the heart is viewed as a single time-varying vector originating …

A Thousand Tiny Pieces: The Federal Circuit’S Fractured Myriad Ruling, Lessons To Be Learned, And The Way Forward, Jonathan R. K. Stroud

IP Theory

No abstract provided.

Technology Transfer: A View From The Trenches, Harvey Drucker

RISK: Health, Safety & Environment (1990-2002)

Dr. Drucker, who has lab-wide responsibility for technology transfer at Argonne National Laboratory, argues that transferring rights in discoveries made through tax supported research to private entities can contribute to public welfare in many ways.

Overview Of Federal Technology Transfer, Lawrence Rudolph

RISK: Health, Safety & Environment (1990-2002)

Mr. Rudolph reviews approximately thirteen years of legal and political developments that have contributed to laws governing the extent to which private firms may secure rights in technology at least partly developed with federal funds.