Operability and Implementation of a Patient Motion Monitoring System Using Wireless Body Worn Sensors
| Status: | Recruiting |
|---|---|
| Healthy: | No |
| Age Range: | 45 - 85 |
| Updated: | 1/10/2019 |
| Start Date: | August 2014 |
| End Date: | December 2019 |
| Contact: | Tim Dallas, PhD |
| Email: | tim.dallas@ttu.edu |
| Phone: | 806-834-6856 |
In this observational study, a motion monitoring system including body-worn sensors,
communication portals, data capture system, and algorithms will be tested with geriatric
patients in Garrison Geriatric Education and Care Center (Lubbock, TX). The study is part of
a long-term effort to improve the quality of life and safety of geriatric patients by using
autonomous systems that can alert care givers of mobility issues and falls.
communication portals, data capture system, and algorithms will be tested with geriatric
patients in Garrison Geriatric Education and Care Center (Lubbock, TX). The study is part of
a long-term effort to improve the quality of life and safety of geriatric patients by using
autonomous systems that can alert care givers of mobility issues and falls.
Medical monitoring systems have become an important area of research and development due to
the possibility of allowing improved quality of life and care while reducing overall medical
costs.
Significance of the study:
The study is significant because it will allow researchers to understand the efficacy of the
autonomous sensor system used with actual residents of a geriatric care center. This study is
one of the first attempts to monitor movements of geriatric residents as they go about their
activities of daily living. This type of system has the potential to improve the quality of
life and safety of geriatric patients.
Goals:
The development of autonomous patient monitoring technologies that will eventually improve
the quality of life and safety of patients in geriatric care facilities and other
environments.
Determine the performance and usability of the wearable sensor system in a geriatric care
facility with actual residents going about their daily lives.
Specific Aims:
1. Determine performance of motion data collect ion system for monitoring geriatric
residents as they go about their daily life in a geriatric center
2. Determine tolerability of wearing sensors by geriatric residents
3. Understand how medical staff interacts with monitored residents and the sensor devices
4. Determine if the sensor system's algorithms can identify falls
Objectives:
1. Analyze the motion data generated by the system to determine system performance. The
list of performance metrics will include: (a) system up-time, (b) continuity of data
collection (c) sensor device failure rate, (d) sensor device battery life (e)
simultaneous collection of data when multiple monitored residents are in the same
localized area.
2. Assess the tolerability of wearing the devices over the course of a day using a survey
administered to residents.
3. Assess the usability of the sensor system using a survey administered to care givers.
4. Compare events flagged as falls by system algorithms with the fall log produced by
Garrison staff, cross-verified against personal fall logs, to determine the ability of
the system to detect falls.
the possibility of allowing improved quality of life and care while reducing overall medical
costs.
Significance of the study:
The study is significant because it will allow researchers to understand the efficacy of the
autonomous sensor system used with actual residents of a geriatric care center. This study is
one of the first attempts to monitor movements of geriatric residents as they go about their
activities of daily living. This type of system has the potential to improve the quality of
life and safety of geriatric patients.
Goals:
The development of autonomous patient monitoring technologies that will eventually improve
the quality of life and safety of patients in geriatric care facilities and other
environments.
Determine the performance and usability of the wearable sensor system in a geriatric care
facility with actual residents going about their daily lives.
Specific Aims:
1. Determine performance of motion data collect ion system for monitoring geriatric
residents as they go about their daily life in a geriatric center
2. Determine tolerability of wearing sensors by geriatric residents
3. Understand how medical staff interacts with monitored residents and the sensor devices
4. Determine if the sensor system's algorithms can identify falls
Objectives:
1. Analyze the motion data generated by the system to determine system performance. The
list of performance metrics will include: (a) system up-time, (b) continuity of data
collection (c) sensor device failure rate, (d) sensor device battery life (e)
simultaneous collection of data when multiple monitored residents are in the same
localized area.
2. Assess the tolerability of wearing the devices over the course of a day using a survey
administered to residents.
3. Assess the usability of the sensor system using a survey administered to care givers.
4. Compare events flagged as falls by system algorithms with the fall log produced by
Garrison staff, cross-verified against personal fall logs, to determine the ability of
the system to detect falls.
Inclusion Criteria:
1. At least 30 day resident of Garrison.
2. Deemed mentally competent by primary care provider to make decisions regarding their
daily shoe wear.
3. A resident prone to falls is eligible.
4. Willing to wear shoes and offer high level of compliance to study
5. Able to provide informed consent
6. Able to complete survey
7. Age range: 45-85 yrs
Exclusion Criteria:
1. Unwilling to participate 2. Not mentally competent to provide informed consent
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