Team for Research in
Ubiquitous Secure Technology

Citation
Ruzena Bajcsy. "Monitoring Elderly". Talk or presentation, 11, October, 2007.

Abstract
Remote patient monitoring has great potential to improve many aspects of patient care. In one area alone, the monitoring for adverse events such as falls, the quality of care for elderly patients can be significantly improved, while allowing for greater independence and improved quality of life. Early detection of health conditions can also reduce the severity of illness and reduce the need for and potential duration of hospitalization. TRUST researchers are developing a first stage system that focuses on patient motion. The system includes sensors, wearable wireless transmitters, local data relays, and long-range wireless networking. A two-level networking scheme has been developed to provide connectivity throughout the patient’s residence, data processing to recognize significant events, and a reporting scheme that routs data to the local care facility. The research program, a collaborative effort between UCB, Cornell, UT Dallas, and Vanderbilt, has three critical components: the sensor platform, data processing and networking, and security and privacy. The wearable motion sensor consists of a moteiv tmote sky equipped with a 3-axis accelerometer and 3-axis gyroscope. Algorithms for recognizing specific problematic motions have been developed and tied to event detection and classification algorithms. Ongoing network research focuses on the reliability, robustness, and throughput of a two-tiered wireless transport network composed of the tmotes, Crossbow Stargate boards, and portable personal computers. Privacy & security research focuses on the methods for event notification and data display. This includes the use of virtual rather than standard video or photographic representations of patients, as well as other data filtering techniques. Experiments using a system prototype have been conducted at Vanderbilt Home Care Services. We will report on our system design, deployment and experiment experiences and challenges.

Electronic downloads

• HTML

  Ruzena Bajcsy. <a
  href="http://www.truststc.org/pubs/303.html"
  ><i>Monitoring Elderly</i></a>, Talk or
  presentation,  11, October, 2007.

• Plain text

  Ruzena Bajcsy. "Monitoring Elderly". Talk or
  presentation,  11, October, 2007.

• BibTeX

  @presentation{Bajcsy07_MonitoringElderly,
      author = {Ruzena Bajcsy},
      title = {Monitoring Elderly},
      day = {11},
      month = {October},
      year = {2007},
      abstract = {Remote patient monitoring has great potential to
                improve many aspects of patient care. In one area
                alone, the monitoring for adverse events such as
                falls, the quality of care for elderly patients
                can be significantly improved, while allowing for
                greater independence and improved quality of life.
                Early detection of health conditions can also
                reduce the severity of illness and reduce the need
                for and potential duration of hospitalization.
                TRUST researchers are developing a first stage
                system that focuses on patient motion. The system
                includes sensors, wearable wireless transmitters,
                local data relays, and long-range wireless
                networking. A two-level networking scheme has been
                developed to provide connectivity throughout the
                patient’s residence, data processing to
                recognize significant events, and a reporting
                scheme that routs data to the local care facility.
                The research program, a collaborative effort
                between UCB, Cornell, UT Dallas, and Vanderbilt,
                has three critical components: the sensor
                platform, data processing and networking, and
                security and privacy. The wearable motion sensor
                consists of a moteiv tmote sky equipped with a
                3-axis accelerometer and 3-axis gyroscope.
                Algorithms for recognizing specific problematic
                motions have been developed and tied to event
                detection and classification algorithms. Ongoing
                network research focuses on the reliability,
                robustness, and throughput of a two-tiered
                wireless transport network composed of the tmotes,
                Crossbow Stargate boards, and portable personal
                computers. Privacy \& security research focuses on
                the methods for event notification and data
                display. This includes the use of virtual rather
                than standard video or photographic
                representations of patients, as well as other data
                filtering techniques. Experiments using a system
                prototype have been conducted at Vanderbilt Home
                Care Services. We will report on our system
                design, deployment and experiment experiences and
                challenges.},
      URL = {http://www.truststc.org/pubs/303.html}
  }
  

Posted by Larry Rohrbough on 16 Oct 2007.
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