Skip to main content

Find us on

facebook youtube flickr twitter itunes u logo

 

Upcoming Events   

 Harold Thimbleby

 

 

 

The Best Way to Improve Healthcare is to Improve Computers
Harold Thimbleby
Swansea University
Thursday April 23, 2015 @4:15pm

Carson L01

Mary Ellen Zurko

 

 

User-Centered Security: From Grand Challenge to Technology Transfer
Mary Ellen Zurko
Cisco
Tuesday May 12, 2015 @4:15pm
Carson L01

Scout Sinclair Brody

 

 

Open-Sourcing Usable Security
Scout Sinclair Brody D'13 Ph.D.
Simply Secure
Tuesday June 2, 2015 @4:15pm
Carson L01

Recent Talks  

Radu Sion

Computation Privacy and Regulatory Compliance Mechanisms for the Cloud
Radu Sion
Stony Brook University and Private Machines Inc.
May 28, 2013

mechael youtube

Keynote: Securing IT in Healthcare: Part III
Patty Mechael
mHealth Alliance
May 16, 2013

 

Newsletter 

Feb news 2015

 

ISTS Information Pamphlet


2012BrochureCover

 

Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu

Data Assurance in Medical Sensor Applications

Project Summary

We expect that wearable, portable, and even embeddable medical sensors will enable long-term continuous medical monitoring for many purposes, such as patients with chronic medical conditions (such as the recently announced blood-sugar sensors for diabetics), people seeking to change behavior (e.g., losing weight, or quitting smoking), or athletes wishing to monitor their condition and performance. The resulting data may be used directly by the person, or shared with others: with a physician for treatment, with an insurance company for coverage, or by a trainer or coach. Such systems have huge potential benefit to the quality of healthcare and quality of life for many people.

Since the sensor data may be gathered through a patient's mobile device (such as a mobile phone), a wireless network, and the Internet, there are many opportunities for the sensor data to be tampered or otherwise inaccurate. How can we assess confidence in sensor data? How can we present that level of confidence, in context, with the sensor data? This project will develop methods to assess confidence in medical sensor data.

Last Updated: 4/1/15