hospital beds wireless sensor network and reducing decubitus ulcer

Hospital beds wireless sensor network and reducing decubitus ulcer

| June 2015 | 627 In a study done by Verbunt and Bartneck, in 2010 entitled “tactile feedback for the prevention of decubitus ulcers,” a technology is defined which is able to diagnose patient’s inappropriate status and present an instruction to change his status. Changing status resulted in less risk of decubitus ulcer. This device includes a belt that receives a simple tap to a strong pressur...

a review on equipped hospital beds with wireless sensor networks for reducing bedsores

at present, the solutions to prevent bedsore include using various techniques for movement and displacement of patients, which is not  possible for some patients or dangerous for some of them while it also poses problems for health care providers. on the other hand, development of information technology in the health care system including application of wireless sensor networks (wsns) has led t...

Reducing Hospital Beds

A review on equipped hospital beds with wireless sensor networks for reducing bedsores

At present, the solutions to prevent bedsore include using various techniques for movement and displacement of patients, which is not possible for some patients or dangerous for some of them while it also poses problems for health care providers. On the other hand, development of information technology in the health care system including application of wireless sensor networks (WSNs) has led to...

Wireless sensor network design through genetic algorithm

In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network criteria and characteristics. Type of deployment, effect of network size, radio communication...

wireless sensor network design through genetic algorithm

in this paper, we study wsn design, as a multi-objective optimization problem using ga technique. we study the effects of ga parameters including population size, selection and crossover method and mutation probability on the design. choosing suitable parameters is a trade-off between different network criteria and characteristics. type of deployment, effect of network size, radio communication...