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Articles 1 - 11 of 11
Full-Text Articles in Biomedical
An Investigation Of Match For Lossless Video Compression, Brittany Sullivan-Reicks
An Investigation Of Match For Lossless Video Compression, Brittany Sullivan-Reicks
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
A new lossless video compression technique, Match, is investigated. Match uses the similarity between the frames of a video or the slices of medical images to find a prediction for the current pixel. A portion of the previous frame is searched to find a matching context, which is the pixels surrounding the current pixel, within some distance centered on the current location. The best distance to use for each dataset is found experimentally. The matching context refers to the neighborhood of w, nw, n, and ne, where the pixel in the previous frame with the closest matching context becomes the …
Sensitray: An Integrated Measuring Device For Monitoring Children’S Mealtime Dietary Intake, Hunter S. Guru, Anthony D. Weng, Santosh Pitla, Dipti Dev
Sensitray: An Integrated Measuring Device For Monitoring Children’S Mealtime Dietary Intake, Hunter S. Guru, Anthony D. Weng, Santosh Pitla, Dipti Dev
Department of Child, Youth, and Family Studies: Faculty Publications
Childhood nutrition establishes consumption norms that affect an individual’s health over the course of their lives. However, early nutrition interventions to establish such norms are uncommon owing to the various inefficiencies associated with current methods of measuring childhood nutrition. Here, we present an IoT measuring device, called the SensiTray, which accurately tracks mealtime intake in a child-friendly and cost-effective fashion. Principal technologies underlying the SensiTray (including mass-sensing technologies, microcontrollers) are identified and analyzed, along with other design choices. Operation of the SensiTray is explained with special attention given to SensiTray software peripherals and algorithms. Preliminary testing consisted of static and …
Bibliometric Review On Liver And Tumour Segmentation Using Deep Learning, Jayant Jagtap, Aamir Habeeb, Avinash Jha, Shrey Aggarwal, Khushi Gupta
Bibliometric Review On Liver And Tumour Segmentation Using Deep Learning, Jayant Jagtap, Aamir Habeeb, Avinash Jha, Shrey Aggarwal, Khushi Gupta
Library Philosophy and Practice (e-journal)
One of the major organs in the body is liver where tumors occur often. Malignant liver tumors pose a serious hazard to human life and health. Manual segmentation of the liver organ and tumor from computed tomography (CT) scans is difficult, time-consuming, and skewed to the clinician's experience, yet it is essential for hepatic surgical planning. However, due to the following considerations, segmenting liver tumors from computed tomography (CT) images is difficult: In CT pictures, the contrast between the liver tumor and healthy tissues is low, and the boundary is indistinct; the picture of the liver tumor is confusing, with …
Bibliometric Review On Applications Of Disease Detection Using Digital Image Processing Techniques, Jayant Jagtap, Rahil Sharma, Aryan Sinha, Nikhil Panda, Amulya Reddy
Bibliometric Review On Applications Of Disease Detection Using Digital Image Processing Techniques, Jayant Jagtap, Rahil Sharma, Aryan Sinha, Nikhil Panda, Amulya Reddy
Library Philosophy and Practice (e-journal)
Advances around the field of deep learning and cognitive computing have allowed mankind to look and solve the problems of the world in a completely new way. Deep learning has been making huge advancements in the field of healthcare, which most importantly focuses upon disease detection and disease prediction. Techniques such as these have been conceptualized the idea of early detection and economical ways of treating the predicted disease in particular. Still, it has been observed that there seems to be no change in the way diagnosis of a particular disease takes place even in the 21st generation of …
Computational Characterization Of Exogenous Micrornas That Can Be Transferred Into Human Circulation, Jiang Shu, Kevin Chiang, Janos Zempleni, Juan Cui
Computational Characterization Of Exogenous Micrornas That Can Be Transferred Into Human Circulation, Jiang Shu, Kevin Chiang, Janos Zempleni, Juan Cui
School of Computing: Faculty Publications
MicroRNAs have been long considered synthesized endogenously until very recent discoveries showing that human can absorb dietary microRNAs from animal and plant origins while the mechanism remains unknown. Compelling evidences of microRNAs from rice, milk, and honeysuckle transported to human blood and tissues have created a high volume of interests in the fundamental questions that which and how exogenous microRNAs can be transferred into human circulation and possibly exert functions in humans. Here we present an integrated genomics and computational analysis to study the potential deciding features of transportable microRNAs. Specifically, we analyzed all publicly available microRNAs, a total of …
Bioinformatics Approaches To Single-Cell Analysis In Developmental Biology, Dicle Yalcin, Zeynep M. Hakguder, Hasan H. Otu
Bioinformatics Approaches To Single-Cell Analysis In Developmental Biology, Dicle Yalcin, Zeynep M. Hakguder, Hasan H. Otu
Department of Electrical and Computer Engineering: Faculty Publications
Individual cells within the same population show various degrees of heterogeneity, which may be better handled with single-cell analysis to address biological and clinical questions. Single-cell analysis is especially important in developmental biology as subtle spatial and temporal differences in cells have significant associations with cell fate decisions during differentiation and with the description of a particular state of a cell exhibiting an aberrant phenotype. Biotechnological advances, especially in the area of microfluidics, have led to a robust, massively parallel and multi-dimensional capturing, sorting, and lysis of single-cells and amplification of related macromolecules, which have enabled the use of imaging …
A Stand-Alone Dna Hybridization Detection System, Sinan S. Sayood
A Stand-Alone Dna Hybridization Detection System, Sinan S. Sayood
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
The goal of this project was to design a portable device that can quickly and accurately detect the difference between single and double stranded DNA. This was accomplished by analyzing the capacitive properties of DNA solutions and implementing a charge-based capacitive monitoring system to detect and analyze the solutions. The detection system was designed without reliance on expensive functionalized electrodes, and instead is able to detect the properties of free- oating DNA. This approach greatly reduces the cost of the materials needed to construct the device. It also decouples the main sensor apparatus from the bulk of the electronics, reducing …
Vcare: A Personal Emergency Response System To Promote Safe And Independent Living Among Elders Staying By Themselves In Community Or Residential Settings, Priyankar Bhattacharjee
Vcare: A Personal Emergency Response System To Promote Safe And Independent Living Among Elders Staying By Themselves In Community Or Residential Settings, Priyankar Bhattacharjee
Computer and Electronics Engineering: Dissertations, Theses, and Student Research
‘Population aging’ is a growing concern for most of us living in the twenty first century, primarily because many of us in the next few years will have a senior person to care for - spending money towards their healthcare expenditures AND/OR having to balance a full-time job with the responsibility of care-giving, travelling from another city to be with this elderly citizen who might be our parent, grand-parent or even community elders. As informal care-givers, if somehow we were able to monitor the day-to-day activities of our elderly dependents, and be alerted when wrong happens to them that would …
Towards Highly-Integrated Stereovideoscopy For In Vivo Surgical Robots, Jay Carlson
Towards Highly-Integrated Stereovideoscopy For In Vivo Surgical Robots, Jay Carlson
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
When compared to traditional surgery, laparoscopic procedures result in better patient outcomes: shorter recovery, reduced post-operative pain, and less trauma to incisioned tissue. Unfortunately, laparoscopic procedures require specialized training for surgeons, as these minimally-invasive procedures provide an operating environment that has limited dexterity and limited vision. Advanced surgical robotics platforms can make minimally-invasive techniques safer and easier for the surgeon to complete successfully. The most common type of surgical robotics platforms -- the laparoscopic robots -- accomplish this with multi-degree-of-freedom manipulators that are capable of a diversified set of movements when compared to traditional laparoscopic instruments. Also, these laparoscopic robots …
Preliminary Test Of A Real-Time, Interactive Silent Speech Interface Based On Electromagnetic Articulograph, Jun Wang, Ashok Samal, Jordan R. Green
Preliminary Test Of A Real-Time, Interactive Silent Speech Interface Based On Electromagnetic Articulograph, Jun Wang, Ashok Samal, Jordan R. Green
CSE Conference and Workshop Papers
A silent speech interface (SSI) maps articulatory movement data to speech output. Although still in experimental stages, silent speech interfaces hold significant potential for facilitating oral communication in persons after laryngectomy or with other severe voice impairments. Despite the recent efforts on silent speech recognition algorithm development using offline data analysis, online test of SSIs have rarely been conducted. In this paper, we present a preliminary, online test of a real-time, interactive SSI based on electromagnetic motion tracking. The SSI played back synthesized speech sounds in response to the user’s tongue and lip movements. Three English talkers participated in this …
Towards Supervised Autonomous Task Completion Using An In Vivo Surgical Robot, Jason J. Dumpert
Towards Supervised Autonomous Task Completion Using An In Vivo Surgical Robot, Jason J. Dumpert
Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research
Laparoscopy is a minimally invasive alternative to traditional abdominal surgery. Unlike traditional surgery, a laparoscopic procedure can be completed using small incisions. The use of these small incision results in reduced pain to the patient, shorter recovery times, and less trauma to skin, muscle and other tissues. However, these benefits to the patient are offset by the increased difficulty to the surgeon performing the procedure. These difficulties include reduced dexterity, reduced perception, and longer procedure times. The use of small in vivo robotic devices in minimally invasive surgery is one possible solution to these problems. The movement of these devices …