Nowadays numerous technologies are employed for tracking patients and assets in hospitals or nursing homes. Each of them has advantages and drawbacks. For example, WiFi localization has relatively good accuracy but cannot be used in case of power outage or in the areas with poor WiFi coverage. Magnetometer positioning or cellular network does not have such problems but they are not as accurate as localization with WiFi. This paper describes technique that simultaneously employs different localization technologies for enhancing stability and average accuracy of localization. The proposed algorithm is based on fingerprinting method paired with data fusion and prediction algorithms for estimating the object location. The core idea of the algorithm is technology fusion using error estimation methods. For testing accuracy and performance of the algorithm testing simulation environment has been implemented. Significant accuracy improvement was showed in practical scenarios.
Nowadays numerous technologies such as WiFi, Bluetooth, cellular networks and magnetometer positioning are employed for tracking patients and assets in hospitals or nursing homes. Each of these techniques has advantages and drawbacks. For example, WiFi localization has relatively good accuracy but cannot be used in case of power outage or in the areas with poor WiFi coverage. Magnetometer positioning or cellular network does not have such problems but they are not as accurate as localization with WiFi. This paper describes technique that simultaneously employs different localization technologies for enhancing stability and average accuracy of localization. The proposed algorithm is based on fingerprinting method paired with data fusion and prediction algorithms for estimating the object location. Significant performance improvement was showed in practical scenarios.
Presentation of the scheme of video signal online translation from cameras installed in the operation room (OR) to stationary and mobile devices. Material and Methods. The scheme of online webcast translation was implemented in the Institute of Neurosurgery on the basis of the existing system of TV broadcasting of video images from the operation room. Translation scheme using additional software and dedicated server, and translation scheme using IP-based cameras and video servers-encoders were designed. Results. Realized technical decisions allow chief of the department to get visual control of the operating room from any point worldwide using any device with internet access. Conclusion. The proposed technology has a low cost of implementation and helps to realize a project "Chief in the OR", providing the online monitoring of surgeon's activity regardless of the chief location. It may be used for remote surgery live demonstration with audio feedback (congresses, training courses, conferences, etc), and give opportunity for adjustment of the system parameters and further improvement with functional evolution.
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