Computational Diagnostics Inc.

Pittsburgh, PA, United States

Computational Diagnostics Inc.

Pittsburgh, PA, United States
SEARCH FILTERS
Time filter
Source Type

Vinjamuri R.,University of Pittsburgh | Sun M.,University of Pittsburgh | Chang C.-C.,National Taipei University of Technology | Lee H.-N.,Gwangju Institute of Science and Technology | And 2 more authors.
IEEE Transactions on Information Technology in Biomedicine | Year: 2010

Postural synergies of the hand have been widely proposed in the literature, but only a few attempts were made to visualize temporal postural synergies, i.e., profiles of postural synergies varying over time. This paper aims to derive temporal postural synergies from kinematic synergies extracted from joint angular velocity profiles of rapid grasping movements. The rapid movements constrain the kinematic synergies to combine instantaneously, and thus, the movements can be approximated by a weighted summation of synchronous synergies. After being extracted by using singular value decomposition, the synchronous kinematic synergies were translated into temporal postural synergies, which revealed strategies of enslaving, metacarpal flexion for larger movements, and hierarchical recruitment of joints, adapted by subjects while grasping. © 2006 IEEE.


Sun M.,University of Pittsburgh | Jia W.,University of Pittsburgh | Liang W.,Zhengzhou Institute of Light Industry | Sclabassi R.J.,Computational Diagnostics Inc.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | Year: 2012

Inspired by the extraordinary object grabbing ability of certain insects (e.g., a grasshopper), we have developed a novel dry EEG electrode, called the skin screw electrode. Unlike the traditional disc electrode which requires several minutes to install, the installation of the skin screw electrode can be completed within seconds since no skin preparation and electrolyte application are required. Despite the drastic improvement in the installation time, our experiments have demonstrated that the skin screw electrode has a similar impedance value to that of the disc electrode. The skin screw electrode has a wide range of applications, such as clinical EEG diagnosis, epilepsy monitoring, emergency medicine, and home-based human-computer interface. © 2012 IEEE.


PubMed | Beihang University, Baylor College of Medicine, Computational Diagnostics Inc. and University of Pittsburgh
Type: Journal Article | Journal: Journal of healthcare engineering | Year: 2015

Recently, wearable computers have become new members in the family of mobile electronic devices, adding new functions to those provided by smart-phones and tablets. As always-on miniature computers in the personal space, they will play increasing roles in the field of healthcare. In this work, we present our development of eButton, a wearable computer designed as a personalized, attractive, and convenient chest pin in a circular shape. It contains a powerful microprocessor, numerous electronic sensors, and wireless communication links. We describe its design concepts, electronic hardware, data processing algorithms, and its applications to the evaluation of diet, physical activity and lifestyle in the study of obesity and other chronic diseases.


Intraoperative neurophysiological monitoring (IONM) as the name suggests is a monitoring technique which refers to a group of procedures used during surgery to monitor neural pathways during high-risk neurosurgical, orthopedic, peripheral nerve, and vascular surgeries. These procedures assist surgeons in preventing damage and preserving functionality of the nervous system. IONM is used in most of the surgical procedures. Similar techniques as used in IONM are now used in a few kinds of operations for guiding the surgeon in an operation to help obtain the best results Globally, the market for intraoperative neurophysiological monitoring (IONM) is gaining significant importance due to growing demand for newly developed IONM techniques, reduced healthcare cost due to the adoption of IONM devices, and among others. The total intraoperative neurophysiological monitoring (IONM) market is expected to reach $3.1 billion by 2027. On the basis of types, electromyography (EMG) is by far the fastest growing segment of intraoperative neurophysiological monitoring (IONM) market and it is expected to reach $678.1 million in 2027.  Some other factors driving the IONM market are significant reduction in morbidity and mortality rates, increasing awareness of IONM techniques, growing corporate agreements, and such others. Based on procedures, spinal procedures commands largest market share of global IONM market and it is expected to grow at a CAGR of 8.7% for the period 2016 to 2027. On the other hand, orthopedic segment is expected to be the fastest growing procedures for Intraoperative neurophysiological monitoring market. Currently, one of the major challenges market is facing is shortage of skilled personnel, which is limiting the growth of global IONM market at a greater extent. Geographically, North America is one of the major revenue generator as well as producer of IONM devices; this is due to high adoption rate. Also, technological advancements coupled with improved R&D processes is boosting the growth of global intraoperative neurophysiological monitoring market in Asian region. The leading market players in the global IONM market include; Accurate Monitoring LLC (U.S.), Argos Neuromonitoring LP (U.S.), Cadwell Laboratories Inc. (U.S.), Computational Diagnostics Inc. (U.S.), EMOTIV (Australia), Medtronic (U.S.), NuVasive (U.S.), and others. Study Objectives of Intraoperative Neurophysiological Monitoring (IONM) Market Development and Demand Forecast to 2027 Market -  To provide insights about factors, influencing and affecting the market growth. -  To provide historical and forecast revenue of the market segments and sub-segments with respect to regional markets and their countries. -  To provide historical and forecast revenue of the market segments based on type, Procedure, procedure, method and source for global intraoperative neurophysiological monitoring market. -  To provide strategic profiling of key players in the market, comprehensively analyzing their market share, core competencies, and drawing a competitive landscape for the market. -  To provide economic factors that influences the global intraoperative neurophysiological monitoring market. Target Audience • Medical devices companies • Radiologist • Research Laboratories • Hospitals & Clinics • Component and Raw Material Suppliers • Service Suppliers • Potential Investors • Key executive (CEO and COO) and strategy growth manager Key Findings • The global market for intraoperative neurophysiological monitoring is expected to grow at a CAGR of 8.9% during the period 2016 to 2027 to reach $3.1 billion by 2027. • The Asian and Europe IONM market is expected to grow rapidly during 2016 to 2027; whereas, North America will remain the largest market by 2027. • By methods, non-invasive segment is expected to witness highest CAGR of 9.3% during the period 2016 to 2027.  • Based on the sources, in-house segment commands the largest market share of global intraoperative neurophysiological monitoring market; registered 60.0% share in 2015 • Cadwell Laboratories Inc., NuVasive, Medtronic, are so far the leading market players for IONM market globally  Regional and Country Analysis of Intraoperative Neurophysiological Monitoring (IONM) Market Development and Demand Forecast to 2027 Market As per the MRFR analysis, the Asia intraoperative neurophysiological monitoring market is poised to reach $XX billion by 2027, to grow at a CAGR of around 9.3% during the forecasted period. European market was valued at $ XX million in 2015, and expected to reach at $ 586.7 million by 2027. North America continues to be the leading region and valued at $714.5 million in 2015.


Alba N.A.,McGowan Institute for Regenerative Medicine | Sclabassi R.J.,Computational Diagnostics Inc. | Sun M.,McGowan Institute for Regenerative Medicine | Cui X.T.,McGowan Institute for Regenerative Medicine
IEEE Transactions on Neural Systems and Rehabilitation Engineering | Year: 2010

The largest obstacles to signal transduction for electroencephalography (EEG) recording are the hair and the epidermal stratum corneum of the skin. In typical clinical situations, hair is parted or removed, and the stratum corneum is either abraded or punctured using invasive penetration devices. These steps increase preparation time, discomfort, and the risk of infection. Cross-linked sodium polyacrylate gel swelled with electrolyte was explored as a possible skin contact element for a prototype preparation-free EEG electrode. As a superabsorbent hydrogel, polyacrylate can swell with electrolyte solution to a degree far beyond typical contemporary electrode materials, delivering a strong hydrating effect to the skin surface. This hydrating power allows the material to increase the effective skin contact surface area through wetting, and noninvasively decrease or bypass the highly resistive barrier of the stratum corneum, allowing for reduced impedance and improved electrode performance. For the purposes of the tests performed in this study, the polyacrylate was prepared both as a solid elastic gel and as a flowable paste designed to penetrate dense scalp hair. The gel can hold 99.2% DI water or 91% electrolyte solution, and the water content remains high after 29 h of air exposure. The electrical impedance of the gel electrode on unprepared human forearm is significantly lower than a number of commercial ECG and EEG electrodes. This low impedance was maintained for at least 8 h (the longest time period measured). When a paste form of the electrode was applied directly onto scalp hair, the impedance was found to be lower than that measured with commercially available EEG paste applied in the same manner. Time-frequency transformation analysis of frontal lobe EEG recordings indicated comparable frequency response between the polyacrylate-based electrode on unprepared skin and the commercial EEG electrode on abraded skin. Evoked potential recordings demonstrated signal-to-noise ratios of the experimental and commercial electrodes to be effectively equivalent. These results suggest that the polyacrylate-based electrode offers a powerful option for EEG recording without scalp preparation. © 2010 IEEE.


Jia W.,University of Pittsburgh | Wu J.,University of Pittsburgh | Gao D.,University of Pittsburgh | Sun M.,University of Pittsburgh | Sclabassi R.J.,Computational Diagnostics Inc.
Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC | Year: 2014

Our group has developed a novel dry electrode, the skin screw electrode, for EEG measurement. This electrode can be conveniently and rapidly installed on the human scalp requiring no electrolyte application and skin preparation. In this paper, we further evaluate the performance of this electrode by investigating its frequency-dependent electrical impedance at the skin-electrode interface. Comparing with the traditional disc electrode, we found that the two types of electrodes showed very different spectral properties. We also found that the impedance of the screw electrode decreases after coating with gold. © 2014 IEEE.


Jia W.,University of Pittsburgh | Bai Y.,University of Pittsburgh | Sun M.,University of Pittsburgh | Sclabassi R.J.,Computational Diagnostics Inc.
Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC | Year: 2013

This study aims to develop a wireless EEG system to provide critical point-of-care information about brain electrical activity. A novel dry electrode, which can be installed rapidly, is used to acquire EEG from the scalp. A wireless data link between the electrode and a data port (i.e., a smartphone) is established based on the Bluetooth technology. A prototype of this system has been implemented and its performance in acquiring EEG has been evaluated. © 2013 IEEE.


Wang R.,Beijing Jiaotong University | Jia W.,University of Pittsburgh | Mao Z.-H.,University of Pittsburgh | Sclabassi R.J.,Computational Diagnostics Inc. | Sun M.,University of Pittsburgh
International Conference on Signal Processing Proceedings, ICSP | Year: 2015

It has been reported that the pulse transit time (PTT), the interval between the peak of the R-wave in electrocardiogram (ECG) and the fingertip photoplethysmogram (PPG), is related to arterial stiffness, and can be used to estimate the systolic blood pressure (SBP) and diastolic blood pressure (DBP). This phenomenon has been used as the basis to design portable systems for continuously cuff-less blood pressure measurement, benefiting numerous people with heart conditions. However, the PTT-based blood pressure estimation may not be sufficiently accurate because the regulation of blood pressure within the human body is a complex, multivariate physiological process. Considering the negative feedback mechanism in the blood pressure control, we introduce the heart rate (HR) and the blood pressure estimate in the previous step to obtain the current estimate. We validate this method using a clinical database. Our results show that the PTT, HR and previous estimate reduce the estimated error significantly when compared to the conventional PTT estimation approach (p<0.05). © 2014 IEEE.


Jia W.,University of Pittsburgh | Yue Y.,University of Pittsburgh | Fernstrom J.D.,University of Pittsburgh | Yao N.,University of Pittsburgh | And 3 more authors.
Journal of Food Engineering | Year: 2012

Measuring food volume (portion size) is a critical component in both clinical and research dietary studies. With the wide availability of cell phones and other camera-ready mobile devices, food pictures can be taken, stored or transmitted easily to form an image based dietary record. Although this record enables a more accurate dietary recall, a digital image of food usually cannot be used to estimate portion size directly due to the lack of information about the scale and orientation of the food within the image. The objective of this study is to investigate two novel approaches to provide the missing information, enabling food volume estimation from a single image. Both approaches are based on an elliptical reference pattern, such as the image of a circular pattern (e.g., circular plate) or a projected elliptical spotlight. Using this reference pattern and image processing techniques, the location and orientation of food objects and their volumes are calculated. Experiments were performed to validate our methods using a variety of objects, including regularly shaped objects and food samples. © 2011 Elsevier Ltd. All rights reserved.


PubMed | Computational Diagnostics Inc.
Type: | Journal: Journal of biological engineering | Year: 2011

An investigation of the electrochemical activity of human white blood cells (WBC) for biofuel cell (BFC) applications is described. WBCs isolated from whole human blood were suspended in PBS and introduced into the anode compartment of a proton exchange membrane (PEM) fuel cell. The cathode compartment contained a 50 mM potassium ferricyanide solution. Average current densities between 0.9 and 1.6 A cm-2 and open circuit potentials (Voc) between 83 and 102 mV were obtained, which were both higher than control values. Cyclic voltammetry was used to investigate the electrochemical activity of the activated WBCs in an attempt to elucidate the mechanism of electron transfer between the cells and electrode. Voltammograms were obtained for the WBCs, including peripheral blood mononuclear cells (PBMCs - a lymphocyte-monocyte mixture isolated on a Ficoll gradient), a B lymphoblastoid cell line (BLCL), and two leukemia cell lines, namely K562 and Jurkat. An oxidation peak at about 363 mV vs. SCE for the PMA (phorbol ester) activated primary cells, with a notable absence of a reduction peak was observed. Oxidation peaks were not observed for the BLCL, K562 or Jurkat cell lines. HPLC confirmed the release of serotonin (5-HT) from the PMA activated primary cells. It is believed that serotonin, among other biochemical species released by the activated cells, contributes to the observed BFC currents.

Loading Computational Diagnostics Inc. collaborators
Loading Computational Diagnostics Inc. collaborators