Search all AHRQ sites
SHARE:
AHRQ Research Studies
Sign up: 
AHRQ Research Studies Email updates
Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
Results
1 to 3 of 3 Research Studies Displayed
Wang F, Skubic M, Rantz M
Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment.
The researchers proposed and validated a low-cost Doppler radar system for passive and continuous in-home gait assessment. Using signal processing techniques, they estimated human torso velocity and leg swing for step recognition. They found that the radar system has achieved a high accuracy on the step time estimation, while the walking speed estimation is systematically affected by the walking path direction.
AHRQ-funded; HS018477.
Citation:
Wang F, Skubic M, Rantz M .
Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment.
IEEE Trans Biomed Eng 2014 Sep;61(9):2434-43. doi: 10.1109/tbme.2014.2319333..
Keywords:
Health Information Technology (HIT), Patient Safety, Falls, Elderly
Enayati M, Banerjee T, Popescu M
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals.
The purpose of this study was to implement a web-based application to provide the ability to rewind and review depth videos captured in hospital rooms to investigate the event chains that led to patient’s fall at a specific time. It proposes a novel web application to ease the process of search and review of the videos by means of new visualization techniques to highlight video frames that contain potential risk of fall based on our previous research.
AHRQ-funded; HS018477.
Citation:
Enayati M, Banerjee T, Popescu M .
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals.
Conf Proc IEEE Eng Med Biol Soc 2014;2014:4511-4. doi: 10.1109/embc.2014.6944626..
Keywords:
Health Information Technology (HIT), Web-Based, Falls, Hospitals
Stone EE, Skubic M, Back J
Automated health alerts from Kinect-based in-home gait measurements.
This paper details initial investigation of a method for automatically generating alerts to clinicians in response to changes in in-home gait parameters. The three case studies discussed illustrate the potential of automated alerts based on in-home gait data for notifying caregivers of changes in an individual's gait that may be indicative of changes in health status.
AHRQ-funded; HS018477.
Citation:
Stone EE, Skubic M, Back J .
Automated health alerts from Kinect-based in-home gait measurements.
Conf Proc IEEE Eng Med Biol Soc 2014;2014:2961-4. doi: 10.1109/embc.2014.6944244..
Keywords:
Patient Safety, Health Information Technology (HIT), Elderly, Falls
