scholarly journals Ultra-wideband Sensor Antenna Design for 5G/UWB Based Real Time Location Systems

Author(s):  
Abubakar Sharif ◽  
Jinhao Guo ◽  
Jun Ouyang ◽  
Kamran Arshad ◽  
Muhammad Ali Imran ◽  
...  
Author(s):  
Anoushka Kapoor ◽  
Moein Enayati ◽  
Alisha Chaudhry ◽  
Nasibeh Zanjirani Farahani ◽  
Shivaram P. Arunachalam ◽  
...  

2021 ◽  
pp. 174498712110161
Author(s):  
Ann-Marie Cannaby ◽  
Vanda Carter ◽  
Thomas Hoe ◽  
Stephenson Strobel ◽  
Elena Ashtari Tafti ◽  
...  

Background The association between the nurse-to-patient ratio and patient outcomes has been extensively investigated. Real time location systems have the potential capability of measuring the actual amount of bedside contact patients receive. Aims This study aimed to determine the feasibility and accuracy of real time location systems as a measure of the amount of contact time that nurses spent in the patients’ bed space. Methods An exploratory, observational, feasibility study was designed to compare the accuracy of data collection between manual observation performed by a researcher and real time location systems data capture capability. Four nurses participated in the study, which took place in 2019 on two hospital wards. They were observed by a researcher while carrying out their work activities for a total of 230 minutes. The amount of time the nurses spent in the patients’ bed space was recorded in 10-minute blocks of time and the real time location systems data were extracted for the same nurse at the time of observation. Data were then analysed for the level of agreement between the observed and the real time location systems measured data, descriptively and graphically using a kernel density and a scatter plot. Results The difference (in minutes) between researcher observed and real time location systems measured data for the 23, 10-minute observation blocks ranged from zero (complete agreement) to 5 minutes. The mean difference between the researcher observed and real time location systems time in the patients’ bed space was one minute (10% of the time). On average, real time location systems measured time in the bed space was longer than the researcher observed time. Conclusions There were good levels of agreement between researcher observation and real time location systems data of the time nurses spend at the bedside. This study confirms that it is feasible to use real time location systems as an accurate measure of the amount of time nurses spend at the patients’ bedside.


2021 ◽  
Vol 2078 (1) ◽  
pp. 012070
Author(s):  
Qianrong Zhang ◽  
Yi Li

Abstract Ultra-wideband (UWB) has broad application prospects in the field of indoor localization. In order to make up for the shortcomings of ultra-wideband that is easily affected by the environment, a positioning method based on the fusion of infrared vision and ultra-wideband is proposed. Infrared vision assists locating by identifying artificial landmarks attached to the ceiling. UWB uses an adaptive weight positioning algorithm to improve the positioning accuracy of the edge of the UWB positioning coverage area. Extended Kalman filter (EKF) is used to fuse the real-time location information of the two. Finally, the intelligent mobile vehicle-mounted platform is used to collect infrared images and UWB ranging information in the indoor environment to verify the fusion method. Experimental results show that the fusion positioning method is better than any positioning method, has the advantages of low cost, real-time performance, and robustness, and can achieve centimeter-level positioning accuracy.


Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Adam Prater ◽  
Meredith Bowen ◽  
Emily Pavich ◽  
Thomas Loehfelm ◽  
Aaron M Anderson ◽  
...  

Background: Real-Time Location Systems (RTLS) utilize tracking tags and detectors to locate objects or people. This technology has been implemented in healthcare, chiefly to track hospital assets, and a few healthcare systems have applied this technology to track patients in the emergency department. This pilot study tested the feasibility of RTLS to monitor the acute stroke workflow in a large, urban hospital. Methods: An asset tracking RTLS was installed in a large, urban hospital. A series of 21 acute stroke patients were tracked throughout the workflow process by a human observer and via RTLS asset tag attached to the patient’s hospital equipment. A Wi-Fi detector documented initial patient arrival times in the ER Hallway, radiofrequency/infrared (RFID/IR) detectors documented ER CT scanner and ER patient room times. Patient Arrival and departure times in the emergency room (ER) and radiology CT scanner were measured. Time differences between human observer and RTLS were calculated. Results: A total of 21 patients were tracked with RTLS. The mean time difference, interquartile range and standard deviation in minutes are as follows: initial arrival (mean 106, IQR 112, SD 197); CT arrival ( mean 1, IQR 1, SD 0.86); CT departure (mean 2, IQR 2, SD 1.13); patient return to ED (mean 1, IQR 1, SD 0.94). Discussion: Our data demonstrate that RTLS can provide accurate, real-time patient location information, and has the potential to provide data for quality improvement. Combination RFID/IR detectors provided accurate time information while the Wi-Fi detector, proved unreliable for initial arrival times. Our preliminary data supports the development of an unique RTLS system specifically designed to allow for complete visualization of the stroke workflow from patient arrival to treatment along with a dashboard user interface to facilitate treatment team coordination.


2021 ◽  
pp. 131-151
Author(s):  
C. Muthu Ramya ◽  
R. Boopathi Rani

Author(s):  
Martin Frank ◽  
Fabian Lurz ◽  
Markus Kempf ◽  
Jurgen Rober ◽  
Robert Weigel ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Long Wen ◽  
Jinkun Han ◽  
Liangliang Song ◽  
Qi Zhang ◽  
Kai Li ◽  
...  

There exists an electromagnetic shielding effect on radio signals in a tunnel, which results in no satellite positioning signal in the tunnel scenario. Moreover, because vehicles always drive at a high speed on the highway, the real-time localization system (RTLS) has a bottleneck in a highway scenario. Thus, the navigation and positioning service in tunnel and highway is an important technology difficulty in the construction of a smart transportation system. In this paper, a new technology combined downlink time difference of arrival (DL-TDoA) is proposed to realize precise and automated RTLS in tunnel and highway scenarios. The DL-TDoA inherits ultra-wideband (UWB) technology to measure the time difference of radio signal propagation between the location tag and four different location base stations, to obtain the distance differences between the location tag and four groups of location base stations. The proposed solution achieves a higher positioning efficiency and positioning capacity to achieve dynamic RTLS. The DL-TDoA technology based on UWB has several advantages in precise positioning and navigation, such as positioning accuracy, security, anti-interference, and power consumption. In the final experiments on both static and dynamic tests, DL-TDoA represents high accuracy and the mean errors of 11.96 cm, 37.11 cm, 50.06 cm, and 87.03 cm in the scenarios of static tests and 30 km/h, 60 km/h, and 80 km/h in dynamic tests, respectively, which satisfy the requirements of RTLS.


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