NCT02272933

Operability and Implementation of a Patient Motion Monitoring System Using Wireless Body Worn Sensors

• Status: Withdrawn
• Phase: N/A
• Study type: Interventional
• Enrollment: 0 (actual)
• Sponsor: Texas Tech University Health Sciences Center · Academic / Other
• Sex: All
• Age: 45 Years – 85 Years
• Healthy volunteers: Accepted

Summary

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.

Detailed description

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.

Conditions

• Accidental Falls
• Gait, Unsteady

Interventions

Type	Name	Description
DEVICE	Smart Slipper	The shoe measures foot pressure and motion allowing gait to be quantified.
DEVICE	Belt-Clip Sensor	The sensor measures acceleration of the body allowing falls to be detected.

Timeline

• Start date: 2014-08-01
• Primary completion: 2017-10-01
• Completion: 2017-10-01
• First posted: 2014-10-23
• Last updated: 2019-12-13

Locations

1 site across 1 country: United States