Medicine and Health Sciences Commons^™

Applications Of Cloud-Based Quantum Computers With Cognitive Computing Algorithms In Automated, Evidence-Based Virginia Geriatric Healthcare, Henry Childs

AUCTUS: The Journal of Undergraduate Research and Creative Scholarship

Quantum computers have recently headlined IBM’s next generation of products promoting computational evolution. After the successful release of the cloud-streaming quantum computer IBM Watson Q, the company has released projections for future development of quantum devices. Because of the incredible processing power of these machines and the expected integration into everyday life in the near future, what implications can this have in the healthcare field?

I am studying cloud-based quantum computers with natural language processing (NLP) algorithms and patient health record data because I want to understand automated, evidenced-based co-optimized treatment of home-bound geriatric patients in order to help my …

Soft, Curved Electrode Systems Capable Of Integration On The Auricle As A Persistent Brain–Computer Interface, James J. S. Norton, Dong Sup Lee, Jung Woo Lee, Woosik Lee, Ohjin Kwon, Philip Won, Sung-Young Jung, Huanyu Cheng, Jae-Woong Jeong, Abdullah Akce, Stephen Umunna, Ilyoun Na, Yong Ho Kwon, Xiao-Qi Wang, Zhuangjian Liu, Ungyu Paik, Yonggang Huang, Timothy Bretl, Woon-Hong Yeo, John A. Rogers

Mechanical and Nuclear Engineering Publications

Recent advances in electrodes for noninvasive recording of electroencephalograms expand opportunities collecting such data for diagnosis of neurological disorders and brain–computer interfaces. Existing technologies, however, cannot be used effectively in continuous, uninterrupted modes for more than a few days due to irritation and irreversible degradation in the electrical and mechanical properties of the skin interface. Here we introduce a soft, foldable collection of electrodes in open, fractal mesh geometries that can mount directly and chronically on the complex surface topology of the auricle and the mastoid, to provide high-fidelity and long-term capture of electroencephalograms in ways that avoid any significant …

A Hierarchical Method For Removal Of Baseline Drift From Biomedical Signals: Application In Ecg Analysis, Yurong Luo, Rosalyn H. Hargraves, Ashwin Belle, Ou Bai, Xuguang Qi, Kevin R. Ward, Michael Paul Pfaffenberger, Kayvan Najarian

Computer Science Publications

Noise can compromise the extraction of some fundamental and important features from biomedical signals and hence prohibit accurate analysis of these signals. Baseline wander in electrocardiogram (ECG) signals is one such example, which can be caused by factors such as respiration, variations in electrode impedance, and excessive body movements. Unless baseline wander is effectively removed, the accuracy of any feature extracted from the ECG, such as timing and duration of the ST-segment, is compromised. This paper approaches this filtering task from a novel standpoint by assuming that the ECG baseline wander comes from an independent and unknown source. The technique …

An Entropy-Based Automated Cell Nuclei Segmentation And Quantification: Application In Analysis Of Wound Healing Process, Varun Oswal, Ashwin Belle, Robert Diegelmann, Kayvan Najarian

Computer Science Publications

The segmentation and quantification of cell nuclei are two very significant tasks in the analysis of histological images. Accurate results of cell nuclei segmentation are often adapted to a variety of applications such as the detection of cancerous cell nuclei and the observation of overlapping cellular events occurring during wound healing process in the human body. In this paper, an automated entropy-based thresholding system for segmentation and quantification of cell nuclei from histologically stained images has been presented. The proposed translational computation system aims to integrate clinical insight and computational analysis by identifying and segmenting objects of interest within histological …

Fracture Detection In Traumatic Pelvic Ct Images, Jie Wu, Pavani Davuluri, Kevin R. Ward, Charles Cockrell, Rosalyn H. Hargraves, Kayvan Najarian

Computer Science Publications

Fracture detection in pelvic bones is vital for patient diagnostic decisions and treatment planning in traumatic pelvic injuries. Manual detection of bone fracture from computed tomography (CT) images is very challenging due to low resolution of the images and the complex pelvic structures. Automated fracture detection from segmented bones can significantly help physicians analyze pelvic CT images and detect the severity of injuries in a very short period. This paper presents an automated hierarchical algorithm for bone fracture detection in pelvic CT scans using adaptive windowing, boundary tracing, and wavelet transform while incorporating anatomical information. Fracture detection is performed on …

An Automated Optimal Engagement And Attention Detection System Using Electrocardiogram, Ashwin Belle, Rosalyn H. Hargraves, Kayvan Najarian

Computer Science Publications

This research proposes to develop a monitoring system which uses Electrocardiograph (ECG) as a fundamental physiological signal, to analyze and predict the presence or lack of cognitive attention in individuals during a task execution. The primary focus of this study is to identify the correlation between fluctuating level of attention and its implications on the cardiac rhythm recorded in the ECG. Furthermore, Electroencephalograph (EEG) signals are also analyzed and classified for use as a benchmark for comparison with ECG analysis. Several advanced signal processing techniques have been implemented and investigated to derive multiple clandestine and informative features from both these …