scholarly journals Smart E-Textile Systems: A Review for Healthcare Applications

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 99
Author(s):  
Shahood uz Zaman ◽  
Xuyuan Tao ◽  
Cedric Cochrane ◽  
Vladan Koncar
Keyword(s):  
Large Scale ◽  
Patient Monitoring ◽  
Electronic Components ◽  
Medical Field ◽  
Healthcare Applications ◽  
Medical Treatments ◽  
Medical Needs ◽  
Hybrid Products ◽  
Commercial Markets ◽  
Conventional Methods

E-textiles is a new hybrid field developed with the help of the integration of electronic components into our daily usage of textile products. These wearable e-textiles provide user-defined applications as well as normal textile clothing. The medical field is one of the major leading areas where these new hybrid products are being implemented, and relatively mature products can be observed in the laboratory as well as in commercial markets. These products are developed for continuous patient monitoring in large-scale hospital centers as well as for customized patient requirements. Meanwhile, these products are also being used for complex medical treatments and the replacement of conventional methods. This review manuscript contains a basic overview of e-textile systems, their components, applications, and usages in the field of medical innovations. E-textile systems, integrated into customized products for medical needs, are discussed with their proposed properties and limitations. Finally, some recommendations to enhance the e-textile system’s integration into the medical field are argued.

scholarly journals Expression and manufacturing of protein therapeutics in spirulina

2021 ◽  
Author(s):  
Benjamin Jester ◽  
Hui Zhao ◽  
Mesfin Gewe ◽  
Thomas Adame ◽  
Lisa Perruzza ◽  
...  
Keyword(s):  
Large Scale ◽  
Genetic Manipulation ◽  
Low Cost ◽  
Downstream Processing ◽  
Arthrospira Platensis ◽  
Protein Therapeutics ◽  
High Productivity ◽  
Medical Needs ◽  
Manufacturing Platform ◽  
Safe Food

ABSTRACTArthrospira platensis (commonly known as spirulina) is a photosynthetic cyanobacterium1. It is a highly nutritious food that has been consumed for decades in the US, and even longer by indigenous cultures2. Its widespread use as a safe food source and proven scalability have driven frequent attempts to convert it into a biomanufacturing platform. But these were repeatedly frustrated by spirulina’s genetic intractability. We report here efficient and versatile genetic engineering methodology for spirulina that allows stable expression of bioactive protein therapeutics at high levels. We further describe large-scale, indoor cultivation and downstream processing methods appropriate for the manufacturing of biopharmaceuticals in spirulina. The potential of the platform is illustrated by pre-clinical development and human testing of an orally delivered antibody therapeutic against campylobacter, a major cause of infant mortality in the developing world and a growing antibiotic resistance threat3,4. This integrated development and manufacturing platform blends the safety of food-based biotechnology with the ease of genetic manipulation, rapid growth rates and high productivity characteristic of microbial platforms. These features combine for exceptionally low-cost production of biopharmaceuticals to address medical needs that are unfeasible with current biotechnology platforms.

scholarly journals Medimate : Ailment Diffusion Control System with Real Time Large Scale Data Processing

2018 ◽  
Vol 7 (2.31) ◽  
pp. 240
Author(s):  
S Sujeetha ◽  
Veneesa Ja ◽  
K Vinitha ◽  
R Suvedha
Keyword(s):  
Control System ◽  
Data Processing ◽  
Real Time ◽  
Large Scale ◽  
Diffusion Control ◽  
Qr Code ◽  
Healthcare Applications ◽  
Large Scale Data ◽  
Large Scale Data Processing ◽  
Scale Data

In the existing scenario, a patient has to go to the hospital to take necessary tests, consult a doctor and buy prescribed medicines or use specified healthcare applications. Hence time is wasted at hospitals and in medical shops. In the case of healthcare applications, face to face interaction with the doctor is not available. The downside of the existing scenario can be improved by the Medimate: Ailment diffusion control system with real time large scale data processing. The purpose of medimate is to establish a Tele Conference Medical System that can be used in remote areas. The medimate is configured for better diagnosis and medical treatment for the rural people. The system is installed with Heart Beat Sensor, Temperature Sensor, Ultrasonic Sensor and Load Cell to monitor the patient’s health parameters. The voice instructions are updated for easier access.  The application for enabling video and voice communication with the doctor through Camera and Headphone is installed at both the ends. The doctor examines the patient and prescribes themedicines. The medical dispenser delivers medicine to the patient as per the prescription. The QR code will be generated for each prescription by medimate and that QR code can be used forthe repeated medical conditions in the future. Medical details are updated in the server periodically.  

Rehabilitation Assistance Using Motion Capture Devices and Virtual Reality Feedback

2019 ◽  
Vol 888 ◽  
pp. 37-42 ◽  
Author(s):  
Yasushi Yuminaka ◽  
Motoaki Fujii ◽  
Atsuhi Manabe ◽  
Makoto Hasegawa ◽  
Naoki Wada
Keyword(s):  
Virtual Reality ◽  
Motion Capture ◽  
Functional Therapy ◽  
Healthcare Applications ◽  
Timed Up And Go ◽  
Medical Needs ◽  
Muscular Disorders ◽  
Walking Rehabilitation ◽  
Effective Assessment ◽  
Medical And Healthcare

Physical rehabilitation is required to support functional therapy in patients with restricted function in their body caused by cerebral, spinal, or muscular disorders. We sought to investigate the feasibility of medical and healthcare applications of the Kinect v2 motion capture devices and a head mount display in response to practical medical needs, including: (1) a Timed Up and Go test, and a walking rehabilitation support system; and (2) rehabilitation assistance using virtual reality feedback. The prototype systems demonstrate that the ICT-based rehabilitation equipment offers the objective and effective assessment of physical deficits in patients with conditions such as stroke or Parkinson's disease.

Evolving large scale healthcare applications using open standards

2017 ◽  
Vol 6 (4) ◽  
pp. 410-425 ◽  
Author(s):  
Shelly Sachdeva ◽  
Shivani Batra ◽  
Subhash Bhalla
Keyword(s):  
Large Scale ◽  
Healthcare Applications ◽  
Open Standards

The Pransky interview: Dr Cory Kidd, Founder and CEO at Catalia Health

2017 ◽  
Vol 44 (3) ◽  
pp. 259-263 ◽  
Author(s):  
Joanne Pransky
Keyword(s):  
Large Scale ◽  
Information Science ◽  
Industrial Robot ◽  
Human Robot Interaction ◽  
High Tech ◽  
Healthcare Applications ◽  
Robot Interaction ◽  
Wall Street ◽  
Content Type ◽  
Institute Of Technology

Purpose The purpose of this paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned-entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Dr Cory Kidd, an inventor, entrepreneur and leading practitioner in the field of human–robot interaction. Dr Kidd shares his 20-year journey of working at the intersection of healthcare and technology and how he applied innovative technologies toward solving large-scale consumer healthcare challenges. Findings Dr Kidd received his BS degree in Computer Science from the Georgia Institute of Technology and earned a National Science Foundation Graduate Research Fellow in Computer and Information Science & Engineering. Dr Kidd received his MS and PhD degrees at the MIT Media Lab in human–robot interaction. While there, he conducted studies that showed the psychological and clinical advantages of using a physical robot over screen-based interactions. While finishing his PhD in 2007, he founded his first company, Intuitive Automata, which created interactive coaches for weight loss. Though Intuitive Automata ceased operations in 2013, Dr Kidd harnessed his extensive knowledge of the healthcare business and the experiences from patient engagement and launched Catalia Health in 2014 with a new platform centered specifically around patient behavior change programs for chronic disease management. Originality/value Dr Kidd is a pioneer of social robotics and has developed groundbreaking technology for healthcare applications that combines artificial intelligence, psychology and medical best practices to deliver everyday care to patients who are managing chronic conditions. He holds patents, including one entitled Apparatus and Method for Assisting in Achieving Desired Behavior Patterns and in an Interactive Personal Health Promoting Robot. Dr Kidd was awarded the inaugural Wall Street Journal and Credit Suisse Technopreneur of the Year in 2010, which is meant to “honor the entry that best applies technology with the greatest potential for commercial success”. He is also the Director of Business Development for the nonprofit Silicon Valley Robotics and is an impact partner for Fresco Capital. He consults, mentors and serves as a Board Member and Advisor to several high-tech startups.

scholarly journals Chip on a fiber toward the e-textile computing platform

2020 ◽  
Author(s):  
Sunbin Hwang ◽  
Minji Kang ◽  
Aram Lee ◽  
Sukang Bae ◽  
Seoung-Ki Lee ◽  
...  
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Electronic Device ◽  
Electronic Textiles ◽  
Electronic Components ◽  
Computing Platform ◽  
Large Scale Integration ◽  
Circuit Components ◽  
Scale Integration ◽  
Electronic Textile

Abstract Electronic textiles have been considered one of the desired device platforms due to their dimensional compatibility with fabrics by weaving them with yarn. However, the existing electronic textile platforms are generally composed of only one type of electronic component with a single function on a fiber substrate because of processing challenges. A precise connecting process between each electronic fiber is essential to configure the desired electronic circuits or systems. Here we present a chip on a fiber, a new electronic fiber platform, by introducing large scale integration of electronic device or circuit components onto a one-dimensional microfiber substrate. The electronic components such as transistors, inverters, ring oscillators, and thermocouples were integrated together onto the outer surface of a fiber substrate with precise semiconductor and electrode patterns. Our results show that the electronic components can be integrated on a single fiber with reliable operation. We evaluate the electronic properties of the chip on a fiber as a multifunctional electronic textile platform by testing their switching and data processing, as well as sensing or transducing units for detecting optical/thermal signals. The demonstration of the chip on a fiber suggests significant proof of concepts for realization of high performance with wearable electronic textile systems.

scholarly journals Detection of Pulmonary Tuberculosis Manifestation in Chest X-Rays using Different Convolutional Neural Network (CNN) Models

2019 ◽  
Vol 9 (1) ◽  
pp. 2270-2275 ◽  
Keyword(s):  
Neural Network ◽  
Infectious Disease ◽  
Large Scale ◽  
Rapid Diagnosis ◽  
Small Scale ◽  
X Rays ◽  
Automated Systems ◽  
Medical Field ◽  
Huge Impact ◽  
Digital Formats

Tuberculosis (TB) is airborne infectious disease which has claimed many lives than any other infectious disease. Chest X-rays (CXRs) are often used in recognizing TB manifestation site in chest. Lately, CXRs are taken in digital formats, which has made a huge impact in rapid diagnosis using automated systems in medical field. In our current work, four simple Convolutional Neural Networks (CNN) models such as VGG-16, VGG-19, RestNet50, and GoogLenet are implemented in identification of TB manifested CXRs. Two public TB image datasets were utilized to conduct this research. This study was carried out to explore the limit of accuracies and AUCs acquired by simple and small-scale CNN with complex and large-scale CNN models. The results achieved from this work are compared with results of two previous studies. The results indicate that our proposed VGG-16 model has gained highest score overall compared to the models from other two previous studies.

scholarly journals Lost in translation?

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Timothy K. Thomas ◽  
Denielle Elliott
Keyword(s):  
Best Practices ◽  
Collaborative Research ◽  
Large Scale ◽  
Field Studies ◽  
Experimental Medicine ◽  
Medical Field ◽  
Western Kenya ◽  
Critical Issues ◽  
Lost In Translation

This rather unorthodox essay is a dialogue between an anthropologist and an epidemiologist, both of whom were involved with a large-scale collaborative ethnographic project exploring medical field studies, or ‘trial communities’, in western Kenya. Reflecting on their involvement with this project, the authors consider the pragmatics of what ‘collaboration’ represents in different disciplines and how it is enacted. The dialogue, which included a follow-up interview after the research was completed, highlights the expectations and tensions in such collaborative projects and offers the epidemiologist an opportunity to highlight the ideas, methods, and possibilities that he perceived as being ‘lost in translation’ between sociocultural anthropology and experimental medicine. We raise critical issues regarding the disjuncture between epidemiological and anthropological practices in research design, methods, epistemology, and collaboration, with the hopes of provoking more discussions regarding best practices in collaborative research projects. 

scholarly journals Comparing Classroom Instruction to Individual Instruction as an Approach to Teach Avatar-Based Patient Monitoring With Visual Patient: Simulation Study (Preprint)

2020 ◽  
Author(s):  
Julian Rössler ◽  
Alexander Kaserer ◽  
Benjamin Albiez ◽  
Julia Braun ◽  
Jan Breckwoldt ◽  
...  
Keyword(s):  
Large Scale ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Care Providers ◽  
Instruction Group ◽  
Anesthesia Providers ◽  
Individual Instruction ◽  
Significant Difference ◽  
Historical Sample ◽  
Class Instruction

BACKGROUND Visual Patient is an avatar-based alternative to standard patient monitor displays that significantly improves the perception of vital signs. Implementation of this technology in larger organizations would require it to be teachable by brief class instruction to large groups of professionals. Therefore, our study aimed to investigate the efficacy of such a large-scale introduction to Visual Patient. OBJECTIVE In this study, we aimed to compare 2 different educational methods, one-on-one instruction and class instruction, for training anesthesia providers in avatar-based patient monitoring. METHODS We presented 42 anesthesia providers with 30 minutes of class instruction on Visual Patient (class instruction group). We further selected a historical sample of 16 participants from a previous study who each received individual instruction (individual instruction group). After the instruction, the participants were shown monitors with either conventional displays or Visual Patient displays and were asked to interpret vital signs. In the class instruction group, the participants were shown scenarios for either 3 or 10 seconds, and the numbers of correct perceptions with each technology were compared. Then, the teaching efficacy of the class instruction was compared with that of the individual instruction in the historical sample by 2-way mixed analysis of variance and mixed regression. RESULTS In the class instruction group, when participants were presented with the 3-second scenario, there was a statistically significant median increase in the number of perceived vital signs when the participants were shown the Visual Patient compared to when they were shown the conventional display (3 vital signs, <i>P</i>&lt;.001; effect size –0.55). No significant difference was found for the 10-second scenarios. There was a statistically significant interaction between the teaching intervention and display technology in the number of perceived vital signs (<i>P</i>=.04; partial η<sup>2</sup>=.076). The mixed logistic regression model for correct vital sign perception yielded an odds ratio (OR) of 1.88 (95% CI 1.41-2.52; <i>P</i>&lt;.001) for individual instruction compared to class instruction as well as an OR of 3.03 (95% CI 2.50-3.70; <i>P</i>&lt;.001) for the Visual Patient compared to conventional monitoring. CONCLUSIONS Although individual instruction on Visual Patient is slightly more effective, class instruction is a viable teaching method; thus, large-scale introduction of health care providers to this novel technology is feasible.

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