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Displaying 26 - 50 of 240

Workshop Report: Challenges for Digital Proximity Detection in Pandemics: Privacy, Accuracy, and Impact

May 24, 2021
Author(s)
Michelle Stephens, Gregory (Greg) C. Cala, Kristen K. Greene, Katy Keenan, Angela Robinson, Donald Ufford, Zachary Valdez, Lu Shi
NIST held a three-day workshop, "Challenges for Digital Proximity Detection in Pandemics: Privacy, Accuracy, and Impact" Jan. 26th – 28th, 2021. Members of industry, academia, non-profits, state, and federal government were brought together to discuss

Securing Picture Archiving and Communication System (PACS) Cybersecurity for the Healthcare Sector

December 21, 2020
Author(s)
Jennifer L. Cawthra, Sue S. Wang, Bronwyn J. Hodges, Kangmin Zheng, Ryan T. Williams, Jason J. Kuruvilla, Christopher L. Peloquin, Kevin Littlefield, Bob Neimeyer
Medical imaging plays an important role in diagnosing and treating patients. The system that manages medical images is known as the picture archiving communication system (PACS) and is nearly ubiquitous in healthcare environments. PACS is defined by the

Adaptive Estimation of Near-Optimal Electrostatic Force in Micro Energy-Harvesters

September 28, 2020
Author(s)
Kamran Sayrafian, Masoud Roudneshin, Amir G. Aghdam
Recent advancements in micro-electronics have led to the development of miniature-sized wearable sensors that can be used for a variety of health monitoring applications. These sensors are typically powered by small batteries which could require frequent

TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19

July 8, 2020
Author(s)
Ellen M. Voorhees, Ian Soboroff, Tasmeer Alam, Kirk Roberts, William Hersh, Dina Demner-Fushman, Steven Bedrick, Kyle Lo, Lucy L. Wang
TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and clinical research during the COVID-19 pandemic. IR for pandemics breaks many normal assumptions, which can be seen by examining nine important basic IR research

Output Power Maximization of a Microgenerator Using Machine Learning Approach

December 5, 2019
Author(s)
Kamran Sayrafian, Masoud Roudneshin, Amir G. Aghdam
Wearable medical sensors are one of the key components of remote health monitoring systems which allow patients to stay under continuous medical supervision away from the hospital environment. These sensors are typically powered by small batteries which

A Simulation Platform to Study the Human Body Communication Channel

October 7, 2019
Author(s)
Kamran Sayrafian, Katjana Krhac, Gregory Noetscher, Dina Simunic
Human Body Communication (HBC) is an attractive low complexity technology with promising applications in wearable biomedical sensors. In this paper, a simple parametric model based on the finite-element method (FEM) using a full human body model is

A Study of Capsule Endoscopy Orientation Estimation Using Received Signal Strength

December 20, 2018
Author(s)
Kamran Sayrafian, Katjana Krhac, Mehdi Alasti, Kamya Yazdandoost, Dina Simunic
Comprehensive study of wireless communication for ingestible electronics is a very challenging task. To initiate the study on wireless capsule endoscopy, an innovative immersive platform containing an enhanced 3D human body model has been developed. This

Impact of Measurement Points Distribution on the Parameters of UWB Implant Channel Model

December 20, 2018
Author(s)
Kamran Sayrafian, Sofia Perez-Simbor, Katjana Krhac, Concepcion GarciaPardo, Dina Simunic, Narcis Cardona
Sophisticated medical implants that allow vital information delivery to/from the human body are opening the door to novel approaches in diagnosis and/or therapy of various health related issues. Ultra-Wide Band (UWB) technology is gaining the attention of

Securing Electronic Health Records on Mobile Devices

July 27, 2018
Author(s)
Gavin W. O'Brien, Nate V. Lesser, Brett Pleasant, Sue Wang, Kangmin Zheng, Colin Bowers, Kyle Kamke
Health care providers increasingly use mobile devices to receive, store, process, and transmit patient clinical information. According to our own risk analysis, discussed here, and in the experience of many health care providers, mobile devices can present

Application of Link Adaptation in Body Area Networks

February 15, 2018
Author(s)
Kamran Sayrafian, Martina Barbi, Mehdi Alasti
A Body Area Network (BAN) is a wireless protocol for connectivity of wearable and implantable sensors located inside, on the surface or near the human body. Medical applications requirements impose stringent constraints on the reliability, and quality of
Displaying 26 - 50 of 240