Unobtrusive monitoring and identification of fall accidents

17/04/2015

Source: Medical Engineering and Physics, 2015, online

Follow this link for the abstract

Date of publication: March 2015

Publication type: Journal article

In a nutshell: The practical use of fall monitoring equipment is limited due to accuracy, usability, cost and the possible stigma attached to them. This paper proposes a fall sensor concept that can be embedded in the user’s footwear. It discusses algorithms, software and hardware developed. Software performance is illustrated using results of a series of functional tests, which show that the developed sensor can be used for the accurate measurement of various mobility and gait parameters and that falls are detected accurately.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Video footage and fall-incidence reports in long-term care.

19/03/2015

Source: Journal of the American Medical Directors Association, 2015, Online

Follow this link for the abstract

Date of publication: February 2015

Publication type: Journal article

In a nutshell: This study looked into how much agreement there was between reports of falls in long-term care facilities and video footage of the falls over a six year period. There was agreement between video footage and reports under half of the time. These technologies incorporating video capture or wearable sensors can improve our ability to understand the mechanisms involved in falls and to improve the prevention of falls in long-term care facilities.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Posture estimation and human support using wearable sensors and walking-aid robot

15/01/2015

Source: Robotics and Autonomous Systems, 2014, online

Follow this link for the abstract

Date of publication: December 2014

Publication type: Journal article

In a nutshell: This paper introduces a walking-aid robot that can automatically detect when a human, wearing sensors, is about to fall and act to stop it from happening. The robot takes reading of centre of pressure and centre of gravity from the person to predict possible falls and act accordingly.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


An interactive voice response system for identifying older adults’ falls

15/01/2015

Source: Preventive medicine, 2015, Vol 71, p. 31-36

Follow this link for the abstract

Date of publication: February 2015

Publication type: Journal article

In a nutshell: Interactive voice response systems can collect data from a wide geographical area very easily and frequently. This study assessed the quality of the data collected from older people participating in a falls prevention programme evaluation in Pennsylvania. IVR was found to be a productive method of collecting data for falls research. Future research needs to establish the level of personal contact required to increase IVR completion rates.

Length of publication: 5 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.