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In this study, the use of a mobility monitoring system accompanied with case conferences was investigated in order to improve sleep quality and estimate the cost benefit of this intervention.
Results indicate that using a mobility monitoring system can improve the assessment of nighttime mobility and activity and support nurses in planning and implementing care interventions (repositioning, continence care, and inspection rounds).
In the study discussed here, the use of a mobility monitoring system accompanied with case conferences was investigated to improve sleep quality in nursing home residents with cognitive impairment.
Thus, it is necessary to develop and implement a stationary natural gas mobility monitoring system covering the vicinity of major faults and fractured zones at the area of interest.
This paper presents a novel mobility monitoring system and some of its applications to address problems that would be solved in a Smart City, such as the optimization of traffic flows in terms of trip-time and security (Smart Traffic), and the improvement of security or energetic issues inside buildings.
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EEG and MEG are widely used in neurology clinics due to the simplicity and mobility of EEG monitoring systems, both are safe procedures.
This paper develops an ad-hoc architecture and communication and mobility schemes to provide an efficient monitoring system in an environment where targets have unpredicted motion.
Reliability of the mobility detection system should also be examined by video monitoring system.
Our proof-of-concept design demonstrates an IoT-based health monitoring system with enhanced overall system intelligence, energy efficiency, mobility, performance, interoperability, security, and reliability.
The monitoring system used in this study is an in-bed system that records mobility and micro-activity without any body contact.
A solid monitoring system is essential.
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