scholarly journals Smart Glasses as a Surgical Pathology Grossing Tool

2020 ◽  
Author(s):  
Ozlem Kulak ◽  
Anastasia Drobysheva ◽  
Neda Wick ◽  
Simone Arvisais-Anhalt ◽  
Sharon Koorse Germans ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Data Collection ◽  
Surgical Pathology ◽  
Field Of View ◽  
Google Glass ◽  
Automated Data Collection ◽  
Smart Glasses ◽  
Free Data ◽  
Protocol Performance ◽  
Over Time

Context.— Smart glasses are a wearable technology that enable hands-free data acquisition and entry. Objective.— To develop a surgical pathology grossing application on a smart glass platform. Design.— An existing logistics software for the Google Glass Enterprise smart glass platform was used to create surgical pathology grossing protocols. The 2 grossing protocols were developed to simulate grossing a complex (heart) and a simple (kidney) specimen. For both protocols, users were visually prompted by the smart glass device to perform each task, record measurements, or document the field of view. In addition to measuring the total time of the protocol performance, each substep within the protocol was automatically recorded. Subsequently, a report was generated that contained the dictation, images, voice recordings, and the timing of each step. The application was tested by 3 users using the 2 grossing protocols. The users were tracked across 3 grossing procedures for each protocol. Results.— For the complex specimen grossing the average time across repeated procedures was not significantly different between users (P = .999). However, when grossing times of the complex specimen were compared for repeated performances of the same user, a significant reduction in grossing times was observed with each repetition (P = .002). For the simple specimen, the average grossing time across multiple attempts was different among users (P = .03); however, no improvement in grossing time was observed with repeated performance (P = .499). Conclusions.— Augmented reality based grossing applications can provide automated data collection to track the changes in grossing performance over time.

ARCHIE: An Automated Data Collection Method for Physical Prototyping Efforts in Authentic Design Situations

2019 ◽  
Author(s):  
Jacob Nelson ◽  
Andrew Berlin ◽  
Jessica Menold
Keyword(s):  
Data Collection ◽  
Design Research ◽  
Continuous Data ◽  
Geometric Complexity ◽  
Automated Data Collection ◽  
Collection Method ◽  
Design Evolution ◽  
Material Choice ◽  
Design Projects ◽  
Over Time

Abstract Effective data collection can be one of the most challenging aspects of engineering design research. Design projects often occur over periods of weeks, months, or years, making continuous data collection a time-intensive task. Further, interrupting the design process to collect data can be intrusive and disrupt the flow of design. ARCHIE is a system designed to take photos of designers’ physical prototypes, link them to designer perceptions of the design, and maintain a record of design evolution over time. This device will allow researchers to collect data on physical prototyping efforts in design environments without researcher intervention, reducing the burden of data collection in authentic design settings. The device provides designers with an easier way to document physical prototyping efforts and record the evolution of their design with photos and descriptions and promises to allow for researchers to leverage machine learning to automatically analyze aspects of the prototype such as geometric complexity or material choice by facilitating the creation of databases of design artifacts. This work describes the rationale, method, implementation, and testing of ARCHIE using student design projects.

scholarly journals Interfaces Used for Smartglass Devices into the Augmented Reality Projects

2019 ◽  
Vol 290 ◽  
pp. 01010
Author(s):  
Marius Leonard Olar ◽  
Marius-Nicolae Risteiu ◽  
Monica Leba
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Smart Phone ◽  
Field Of View ◽  
Smart Glasses

This paper addresses the themes of the interfaces for the devices usable in the virtual reality projects, respectively augmented reality. Smart goggles are typically used to implement these. Today’s device interfaces are designed for use on flat screens, such as monitors, TVs, or smart phone screens. These screens are located some distance away from the eyes of the user, while the lenses of the smart glasses will be just a few millimeters away. Intelligent eyeglass interfaces will have several patterns, some framed in the user’s field of view, others will require sliding on their surface. Everyone’s field of view is unique, and this will require a calibration of the device so that the graphics can be readable.

A Mirror-in-the-Sky Navigation Aid: Summary of Qualitative Feedback from Soldier and Civilian Users

2020 ◽  
Vol 64 (1) ◽  
pp. 2030-2034
Author(s):  
Holland M. Vasquez ◽  
Adam J. Reiner ◽  
Greg A. Jamieson ◽  
Justin G. Hollands
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
User Feedback ◽  
Field Of View ◽  
Military Operation ◽  
Qualitative Feedback ◽  
Navigation Information ◽  
Over Time

We tested the efficacy of a novel augmented reality navigation aid, called SkyMap, which presents survey navigation information in the sky, above the user. Soldier and civilian users completed a route following task using Mirror-in-the-Sky (a virtual reality prototype of the SkyMap concept), a north-up map, and a track-up map. In this paper, we analyzed and presented a summary of qualitative user feedback and compare feedback from soldier and civilian users. Specifically we used affinity diagrams to categorize verbal qualitative feedback, which led us to identify six themes: 1) an interest in MitS as an innovative navigation display, 2) challenges with identifying turns and orienting, 3) learning MitS over time, 4) the position of MitS in the field of view, 5) customizability and flexibility and 6) ) use in the context of a military operation. We discuss these themes and highlight areas for design improvements.

Automated electron tomography: from data collection to image processing

1995 ◽  
Vol 53 ◽  
pp. 26-27
Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Structural Information ◽  
Imaging Technique ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Automated Data Collection ◽  
Full Control ◽  
Transmission Electron ◽  
Amorphous Structures

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.

Percutaneous Tracheostomy: A Multidisciplinary Approach

2008 ◽  
Vol 18 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Vinciya Pandian ◽  
Thai Tran Nguyen ◽  
Marek Mirski ◽  
Nasir Islam Bhatti
Keyword(s):  
Health Care ◽  
Quality Assurance ◽  
Data Collection ◽  
Health Care Professionals ◽  
Multidisciplinary Approach ◽  
Percutaneous Tracheostomy ◽  
Johns Hopkins Hospital ◽  
Prospective Data ◽  
Comprehensive Service ◽  
Over Time

Abstract The techniques of performing a tracheostomy has transformed over time. Percutaneous tracheostomy is gaining popularity over open tracheostomy given its advantages and as a result the number of bedside tracheostomies has increased necessitating the need for a Percutaneous Tracheostomy Program. The Percutaneous Tracheostomy Program at the Johns Hopkins Hospital is a comprehensive service that provides care to patients before, during, and after a tracheostomy with a multidisciplinary approach aimed at decreasing complications. Education is provided to patients, families, and health-care professionals who are involved in the management of a tracheostomy. Ongoing prospective data collection serves as a tool for Quality Assurance.

Automated data collection

1983 ◽  
Author(s):  
Peter J. Kennedy ◽  
James R. Lewis
Keyword(s):  
Data Collection ◽  
Automated Data Collection

Using an Avatar, RFID & speech recognition for hands-free data collection

2008 ◽  
Author(s):  
Kristie Nemeth ◽  
Nicole Arbuckle ◽  
Andrea Snead ◽  
Drew Bowers ◽  
Christopher Burneka ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Data Collection ◽  
Free Data

Kajian Interaksi Obat Metformin pada Pasien Diabetes Mellitus

2019 ◽  
Vol 8 (2) ◽  
pp. 55-58
Author(s):  
Havizur Rahman ◽  
Teresia Anggi Octavia
Keyword(s):  
Diabetes Mellitus ◽  
Drug Interaction ◽  
Data Collection ◽  
Drug Interactions ◽  
Degenerative Disease ◽  
Moderate Severity ◽  
Purposive Sampling ◽  
Chronic Degenerative Disease ◽  
Over Time ◽  
Diabetes Melitus

Diabetes melitus merupakan penyakit degeneratif kronis yang apabila tidak ditangani dengan tepat, lama kelamaan bisa timbul berbagai komplikasi, ini cenderung menyebabkan pasien mendapatkan banyak obat dalam satu resep yang dapat menimbulkan interaksi antar obat. Tujuan dari penelitian ini adalah mengetahui persentase terjadinya interaksi obat metformin secara teori serta mengkaji efek yang mungkin timbul dan solusinya. Teknik pengambilan data dengan purpossive sampling, yaitu resep pasien rujuk balik yang menderita diabetes mellitus yang menggunakan metformin. Data yang diperoleh ditemukan bahwa obat yang berinteraksi dengan metformin dengan tingkat keparahan minor ialah sebesar 60%. Kemudian untuk tingkat keparahan moderat ialah sebesar 20%. Sedangkan untuk tingkat keparahan mayor tidak ditemukan. Dari tabel diatas juga dapat diketahui bahwa terdapat 4 obat yang saling berinteraksi dengan metformin, sedangkan untuk obat yang tidak saling berinteraksi dengan metformin terdapat 9 obat. Jumlah obat yang berinteraksi secara teori sebesar 6,85% dan yang tidak berinteraksi 93,15%. Terdapat interaksi obat metformin dengan beberapa obat yaitu furosemid, lisinopril, acarbose dan ramipril.   Kata kunci: interaksi obat, metformin, diabetes mellitus   STUDY OF METFORMIN INTERACTION IN MELLITUS DIABETES PATIENTS   ABSTRACT Mellitus is a chronic degenerative disease which if not handled properly, over time can arise various complications, this tends to cause patients to get many drugs in one recipe that can cause interactions between drugs. The purpose of this study is to determine percentage of metformin drug interactions in theory and examine the effects that may arise and solutions. Data collection techniques using purposive sampling, which is a recipe for reconciliation patients who suffer from diabetes mellitus using metformin. The data obtained it was found that drugs that interact with metformin with minor severity were 60%. Then for moderate severity is 20%. Whereas the major severity was not found. From the table above it can also be seen that there are 4 drugs that interact with metformin, while for drugs that do not interact with metformin there are 9 drugs. The number of drugs that interacted theoretically was 6.85% and 93.15% did not interact. An interaction of the drug metformin with several drugs namely furosemide, lisinopril, acarbose and ramipril.   Keywords: drug interaction, metformin, diabetes mellitus

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

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