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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedStone EE, Skubic M
Fall detection in homes of older adults using the Microsoft Kinect.
The researchers present a method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-stage fall detection system. The method is compared against five state-of-the-art fall detection algorithms and significantly better results are achieved.
AHRQ-funded; HS018477.
Citation: Stone EE, Skubic M .
Fall detection in homes of older adults using the Microsoft Kinect.
IEEE J Biomed Health Inform 2015 Jan;19(1):290-301. doi: 10.1109/jbhi.2014.2312180..
Keywords: Patient Safety, Falls, Elderly, Health Information Technology (HIT)
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