Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Epicardial Cryoablation During Cardiopulmonary Bypass In A Pig Survival Model, Federica Serra, Jonathan M. Philpott, Anna Bulysheva, Christian W. Zemlin

Electrical & Computer Engineering Faculty Publications

Objective

Atrial cryolesions are usually created from the endocardium with the heart arrested. Some cardiac surgeons have used cryoablation epicardially during cardiopulmonary bypass, which is convenient because it does not require an incision into the atrial wall. Here, we analyzed the transmurality of epicardial cryoablations created during cardiopulmonary bypass in an arrested heart 30 days after ablation.

Methods

In Yucatan minipigs (n=5), hearts were exposed via sternotomy. Both caval veins were cannulated to collect blood for the cardiopulmonary bypass. Cryolesions were created applying a cryoprobe for 4 minutes per lesion. Hearts were harvested 30 days after the surgery. The transmurality …

Adaptive Fusion Neural Networks For Sparse-Angle X-Ray 3d Reconstruction, Shaoyong Hong, Bo Yang, Yan Chen, Hao Quan, Shan Liu, Minyi Tang, Jiawei Tian

Electrical & Computer Engineering Faculty Publications

3D medical image reconstruction has significantly enhanced diagnostic accuracy, yet the reliance on densely sampled projection data remains a major limitation in clinical practice. Sparse-angle X-ray imaging, though safer and faster, poses challenges for accurate volumetric reconstruction due to limited spatial information. This study proposes a 3D reconstruction neural network based on adaptive weight fusion (AdapFusionNet) to achieve high-quality 3D medical image reconstruction from sparse-angle X-ray images. To address the issue of spatial inconsistency in multi-angle image reconstruction, an innovative adaptive fusion module was designed to score initial reconstruction results during the inference stage and perform weighted fusion, thereby improving …

High-Fidelity Soh Prediction In Lithium-Ion Batteries Using Hybrid Ml Networks, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

Accurate and efficient prediction of lithium-ion battery state of health (SOH) is critical for ensuring reliability in electric vehicles, grid storage, and aerospace systems. Traditional SOH estimation methods often struggle with nonlinear degradation behaviors and lack sensitivity to subtle electrochemical signals, limiting their real-world deployment. To address these challenges, this study examines hybrid deep learning models that integrate differential capacity (dQ/dV) analysis to enhance predictive accuracy. Four hybrid architectures - hybrid CNN-LSTM multihead, CNN extractor for LSTM, DNN-LSTM, and DNN Bi-LSTM - were developed and evaluated using the NASA randomized battery usage dataset, offering a realistic benchmark under diverse operational …

Enhancing Channel Data Savings And Information Transfer Efficiency In Ultrasound Imaging, Sai Konda, Hicham Chaoui

Electrical & Computer Engineering Faculty Publications

Ultrasound is a popular imaging technique mainly due to its non-invasive nature. And so, it is being used in a variety of applications. Due to plane wave imaging technique in ultrasound, frame rate of ultrasound imaging has the potential for being very high. Due to which, many channel data frames are being generated within a few seconds. As a result, tasks such as storing data frames and transferring them from front end ultrasonic system to processing computers are presenting significant challenges. Our current research work minimized these issues. We proposed and implemented: (a) Data encoding technique - We combined every …

Implementing A Chatbot To Promote Hereditary Breast & Ovarian Cancer Genetic Screening In Women's Health: Identifying Barriers And Facilitators To Screening Adoption, Easton N. Wollney, Shireen Madani Sims, Luisel J. Ricks-Santi, Elizabeth Eddy, Daniel Wiesman, Carla L. Fisher

Department of Biomedical and Translational Sciences Faculty Publications

Background

To promote genetic screening among women at risk for hereditary breast and ovarian cancer (HBOC), the American College of Obstetricians and Gynecologists recommends that risk assessment be integrated into practice. Chatbots like the Genetic Information Assistant (Gia®) are increasingly implemented to expand access to hereditary genetic screening. Factors that impact chatbot implementation for HBOC risk screening and women's uptake are not fully realized. To refine implementation strategies prior to full scale implementation, we sought to identify women's perceived facilitators/barriers to adopting Gia screening in a rural population within a large healthcare system in the southern United States.

Methods

We …

Educational Case: Bullous Pemphigoid, Ryan C. Saal, Alice A. Roberts, Richard M. Conran

Department of Medicine Faculty Publications

The following fictional case is intended as a learning tool within the Pathology Competencies for Medical Education (PCME), a set of national standards for teaching pathology. These are divided into three basic competencies: Disease Mechanisms and Processes, Organ System Pathology, and Diagnostic Medicine and Therapeutic Pathology. For additional information, and a full list of learning objectives for all three competencies, see https://www.academicpathologyjournal.org/pcme.1

American Heart Association Blood Pressure Classification And Subsequent Risk Of Preeclampsia, Rebecca Horgan, Erkan Kalafat, Elena Sinkovskaya, Alfred Abuhamad, George Saade

Department of Obstetrics & Gynecology Faculty Publications

Background: In 2017, the American Heart Association (AHA) and American College of Cardiology updated their hypertension guidelines for the nonpregnant population, lowering the diagnostic thresholds to systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥80 mmHg. This reclassification has raised important questions regarding whether blood pressure (BP) values previously considered within the normal range in pregnancy may, in fact, confer an increased risk for hypertensive disorders of pregnancy (HDPs).

Objective: To evaluate the association between first-trimester BP classified by AHA thresholds and the subsequent development of HDPs.

Study design: This was a secondary analysis of a prospective, multicenter cohort …

A Rare Complication Of Dilation And Evacuation: Unrecognized Extrauterine Retained Products Of Conception, Aviana Terschueren, Lauren Siewertsz Van Reesema, Joseph Hudgens

Department of Obstetrics & Gynecology Faculty Publications

Introduction: Surgical abortions, including dilation and evacuation, are among the safest gynecological procedures, with complication rates ranging from 0.5–4.0%. Uterine perforation, though rare (0.2–0.8%), can result in serious sequela, including translocation of retained products of conception into the abdominal cavity. We present a rare case of abdominal retained products of conception following a second-trimester dilation and evacuation.

Case Report: A 29-year-old G3P1112 underwent an elective surgical abortion at 17 weeks’ gestation, complicated by hemorrhage necessitating transfer to an outside hospital. She was treated with uterotonics and a blood transfusion and was discharged after a 6-day hospitalization. Initial transvaginal ultrasound showed …

Optimal Bag Valve Mask Ventilation Efficacy Of Smart Bag Ventilation Compared To Traditional Adult And Paediatric Bag Valve Ventilation During Cardiopulmonary Resuscitation, Ian Dawson

Theses: Doctorates and Masters

Background: Out-of-Hospital Cardiac Arrest (OHCA) is one of the world’s leading causes of mortality. Survival rates are low, ranging from 3.1–20.4% internationally. The most effective oxygenation method for patients during pre-hospital cardiac arrest is ventilating using a self- inflating Bag-Valve-Mask (BVM). Yet, extensive research has identified a lack of compliance with ventilator guidelines during OHCA cardiopulmonary resuscitation (CPR). As a result, clinicians often ventilate patients too aggressively using the BVM, delivering breaths excessively higher than the International Liaison Committee on Resuscitation (ILCOR) recommended rate of 10 breaths per minute (BPM). Hyperventilation can lead to complications such as aspiration, barotrauma, and …

Protocol For Development And Validation Of An Early Intervention Device And Its Influence Using Structured Early Physiotherapy (Preemiestep) Intervention On Neuromotor Development In Preterm Infants, Indira D. B. Naidu Boddapati, Sivakumar Gopalakrishnan, Sonia Khurana, Jayashree Purkayastha, Bhaskar Bhatt, Bhamini Krishna Rao

Rehabilitation Sciences Faculty Publications

Early physiotherapy interventions for Moderate to Late Preterm (MLP) infants often lack continuity of care from hospital to home settings. This research aims to develop an Early Intervention (EI) device for home program and determine its influence using STructured Early Physiotherapy (Preemie STEP) intervention in MLP infants. For phase I, qualitative interviews will be conducted with healthcare professionals and parents, to understand user needs on developed prototype. Based on identified needs, an EI device will be developed using a human-centered design approach and iterative design process. In phase II, usability and validity of EI device will be …

An Analytical Model Of Motion Artifacts In A Measured Arterial Pulse Signal—Part I: Accelerometers And Ppg Sensors, Md Mahfuzur Rahman, Subodh Toraskar, Mamun Hasan, Zhili Hao

Mechanical & Aerospace Engineering Faculty Publications

This paper, the first of two parts, presents an analytical model of motion artifacts (MAs) in measured pulse signals by accelerometers and photoplethysmography (PPG) sensors. As the transmission path from the true pulse signal in an artery to the sensor output (measured pulse signal), the tissue-contact-sensor (TCS) stack is modeled as a 1DOF (degree-of-freedom) system. MAs cause baseline drift of the mass and simultaneously time-varying system parameters (TVSPs) of the TCS stack. With arterial wall displacement and pulsatile pressure serving separately as the true pulse signal, an analytical model is developed to mathematically relate baseline drift and TVSP to a …

An Analytical Model Of Motion Artifacts In A Measured Arterial Pulse Signal—Part Ii: Tactile Sensors, Md Mahfuzur Rahman, Subodh Toraskar, Mamun Hasan, Zhili Hao

Mechanical & Aerospace Engineering Faculty Publications

This paper, the second of two parts, presents an analytical model of motion artifacts (MA) in measured pulse signals by a tactile sensor, which contains a deformable microstructure sitting on a substrate. While the tissue-contact-sensor (TCS) stack and the sensor are both treated as a 1DOF (degree-of-freedom) system, tissue–sensor contact joins their mass together to form a 1DOF system with springs and dampers on both sides. MA on the sensor substrate causes baseline drift and time-varying system parameters (TVSP) of the TCS stack simultaneously. An analytical model is developed to mathematically relate baseline drift and TVSP to a measured pulse …

Motion Artifacts Removal From Measured Arterial Pulse Signals At Rest: A Generalized Sdof-Model-Based Time-Frequency Method, Zhili Hao

Mechanical & Aerospace Engineering Faculty Publications

Motion artifacts (MA) are a key factor affecting the accuracy of a measured arterial pulse signal at rest. This paper presents a generalized time–frequency method for MA removal that is built upon a single-degree-of-freedom (SDOF) model of MA, where MA is manifested as time-varying system parameters (TVSPs) of the SDOF system for the tissue–contact-sensor (TCS) stack between an artery and a sensor. This model distinguishes the effects of MA and respiration on the instant parameters of harmonics in a measured pulse signal. Accordingly, a generalized SDOF-model-based time–frequency (SDOF-TF) method is developed to obtain the instant parameters of each harmonic in …

Four Overlooked Errors In Roc Analysis: How To Prevent And Avoid, Zhuoqiao He, Qingying Zhang, Manshu Song, Xuerui Tan, Wei Wang

Research outputs 2022 to 2026

Diagnostic tests are frequently applied within clinical practice to assist with disease diagnosis, differential diagnosis, disease grading and prognosis evaluation. Receiver operating characteristic (ROC) curve analysis is one common approach for analysing discriminative performance of a diagnostic test, where it can determine the optimal cut-off value with the best diagnostic performance.1 However, as a majority of clinicians are non-statisticians, several errors have been observed in clinical research when applying ROC curves. These errors may be misleading in the selection of diagnostic tests and disease diagnosis, thus adding to patient burden. To address these errors, clinicians do not need a …

Application Of Additive Manufacturing In The Development Of Polymeric Bioresorbable Cardiovascular Stents: A Review, Farhana Yasmin, Ana Vafadar, Majid Tolouei-Rad

Research outputs 2022 to 2026

Polymeric vascular bioresorbable stents (BRSs) have been widely used for the treatment of coronary artery diseases. While additive manufacturing (AM) is changing the landscape of the healthcare sector by enabling the realization of patient-specific stents with highly complex structures. There are, however, challenges associated with the use of polymeric BRS, particularly in-stent restenosis (ISR), related to its poor mechanical properties. Therefore, the aim of this review is to provide an overview of recent advancements in the development of polymeric BRSs designed to meet both mechanical and biological requirements. First, biopolymers as well as shape memory polymers (SMPs) that are suitable …

Feasibility Of Conducting A Randomized Controlled Trial To Explore The Muscular Influence Of Post-Operative Intravenous Iron Treatment For Anaemia After Major Abdominal Surgery, Beth Maclean, Robert U. Newton, Jayne Lim, Toby Richards

Research outputs 2022 to 2026

Background and Objectives: Iron deficiency anaemia is common in patients recovering from major surgery and is associated with poorer post-operative outcomes. We designed a randomized controlled trial treating post-operative anaemia with iron therapy to observe the influence on post-operative recovery. Materials and Methods: Anaemic patients (haemoglobin [Hb] < 120 g/L for women, Hb < 130 g/L for men) recovering from major abdominal surgery at Fiona Stanley Hospital were recruited. Patients were double-blind randomized 1:1 to ferric carboxymaltose (FCM) or saline administered 4 weeks post-discharge and included in a 12-week exercise programme. Iron indices, quality of life (QoL) questionnaires and muscle function tests were conducted at 4 weeks (baseline), 8-, 12- and 16-weeks post-discharge. This pilot study primarily aimed to assess the feasibility of recruiting 20 patients per intervention arm. Trial registration: ACTRN12622001447741. Results: Of 205 eligible patients screened between 5 May 2023 and 31 August 2023, only four patients were recruited, of which one completed the study. After randomization to FCM, results obtained from the sole participant that completed the trial suggested a trend towards improvement in QoL outcomes, Hb and muscle function. Conclusion: Recruitment to a randomized controlled trial exploring the influence of iron therapy on muscle function after major abdominal surgery was not feasible.

Cobotic Ultrasound Systems In Obstetric Assessment: A Scoping Review, Caterina Watson, Leisa Armstrong, David Cook, T. M.Shahriar Sazzad, Nayana Parange

Research outputs 2022 to 2026

Surgical subspecialties have successfully combined robotic technology with traditional practices. In doing so, they have benefited from increased precision in techniques, reduced incidence of surgical complications, and reduced MSK disorders. This scoping review aims to examine the extent of cobotics in obstetric ultrasound. The review was conducted using the JBI PRISMA protocol to map the topic of robotics in obstetric ultrasound. Teleoperated remote ultrasound formed the largest combined clinical cohort of 67 patients. Limitations of the 20-week scan concerned incomplete visualization of fetal structures. These included cavum septi pellucidi, cardiac outflow tracts, kidneys, lips and spine. Third trimester scans omitted …

Diagnostic Accuracy Of Electrocardiogram Algorithms For Differentiating Left From Right Outflow Tract Ventricular Arrhythmia: A Systematic Review And Network Meta-Analysis, Zhuoqiao He, Ming Liu, Pengxiang Ying, Manshu Song, Xuerui Tan

Research outputs 2022 to 2026

Background: Accurate pre-Ablation differentiation between left (LVOT) and right (RVOT) ventricular outflow tract arrhythmias (OTVAs) using ECG algorithms is essential for decision on vascular access and treatment strategy. However, the most reliable ECG algorithm remains unclear. We conducted a systematic review and network meta-Analysis (NMA) to compare the diagnostic accuracy of available algorithms. Methods: We searched MEDLINE, EMBASE and Cochrane databases through 7 May 2025 for studies evaluating ECG algorithms against ablation-confirmed OTVA origin. A Bayesian diagnostic test accuracy NMA was performed to estimate pooled sensitivity, specificity, diagnostic odds ratios (DORs) and a superiority index (S) for each algorithm. Study …

Validation Status Of Digital Blood Pressure Monitors In Peru: A Comprehensive Assessment With A Validation-Process Algorithm Proposal, Fabian A. Chavez-Ecos, Sandra S. Chavez-Malpartida, Alexander M. Parra-Huaroto, Rodrigo Chavez-Ecos, Kiara Camacho-Caballero, Marcelo Chavez-Ecos, Miguel A. Chavez-Gutarra, Henry Anchante-Hernandez, Carlos J. Toro-Huamanchumo

Research outputs 2022 to 2026

Background In Latin America and the Caribbean (LAC), hypertension is the leading cause of death and disability. Accurate diagnosis requires validated blood pressure measurement devices (BPMD). This study aimed to assess the characteristics and validation status of blood pressure measuring devices available for online purchase within Peru. Methods Between September and November 2023, we performed an electronic search of major retailers and online pharmacies. Devices were classified as validated if they were listed in databases recommended by the 2023 European Society of Hypertension (ESH) Guidelines for the Management of Arterial Hypertension or deemed equivalent by the manufacturer. Validation status was …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …