Self-powered fall detection system using pressure sensing triboelectric nanogenerators

17/10/2017

Source: Nano Energy, 2017, Vol. 41 p. 139-147

Follow this link for the abstract

Date of publication: November 2017

Publication type: Journal article

In a nutshell: Fall detection is becoming more important as the number of older people in society increases. People may fall at home where there is little timely help available, and falls themselves can cause injuries. Most fall detection technologies are inconvenient to wear, and visual or movement-based ones can be expensive and difficult to install. This study proposes a falls-detection system based on a pressure-sensing triboelectric nanogenerator array, which is cost-effective and ambient-based. It achieves a classification accuracy of 95.75% in identifying actual falls, and can be immediately installed due to low costs.

Length of publication: 8 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.


Evaluation of falls sensor technology in acute care

14/07/2017

Source: The Joint Commission Journal on Quality and Patient Safety, 2017, online

Follow this link for the abstract

Date of publication: June 2017

Publication type: Journal article

In a nutshell: Sensor technology that dynamically identifies hospitalized patients’ fall risk and detects and alerts nurses of high-risk patients’ early exits out of bed has potential for reducing fall rates and preventing patient harm. In this study, a sensor was evaluated on two inpatient medical units to study fall characteristics and then to assign patient fall probability. A fall detection sensor system affords a level of surveillance that standard fall alert systems do not have. Fall prevention remains a complex issue, but sensor technology is a viable fall prevention option.

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.


A survey on fall detection: principles and approaches

15/02/2013

Source: Neurocomputing, 2013, vol 100, p. 144-152

Follow this link for abstract

Date of publication: January 2013

Publication type: Journal article

In a nutshell: Technology used for falls detection and surveillance is always in demand, as an effective fall detection system provides urgent support and reduces healthcare costs associated with falls. This paper surveys different systems for detecting falls, putting them into three separate categories: wearable device based, ambient device based and vision based. It compares them with each other and suggests inspiration for future work.

Length of publication: 8 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.