Abstract：Objective To realize the scientific management of medical equipment and quickly obtain the location of medical
equipment, this paper developed and designed a relative positioning method for medical devices. Methods Through wireless sensor
networks (WSN) positioning technology, a small number of sensors nodes with known locations were used to construct WSN to
determine the location information of target nodes in the network. Narrow-band and low-power LoRaWAN technology was used
to construct WSN. The positioning method for medical devices based on deep belief networks (DBN) was used to extract features
through multi-layer neural network, and then the location result was obtained through Softmax. Results Through experiments, the
positioning results of various positioning methods, the positioning results of four kinds of DBN and the influence of different number
of sensors on the positioning results were analyzed. The DBN_10 positioning method designed in this paper achieved 99% accuracy
in the training set and 97% accuracy in the test set. Conclusion The method of equipment positioning management proposed in this
paper is conducive to realizing the fine management of medical equipment, which can give full play to the maximum utilization value
of medical equipment and help the healthy development of the hospital.
陈娜群. 一种基于WSN和深度学习的医疗设备定位管理方法[J]. 中国医疗设备, 2021, 36(9): 130-134.
CHEN Naqun. Management Method of Medical Equipment Positioning Based on
Wireless Sensor Networks and Deep Learning. China Medical Devices, 2021, 36(9): 130-134.
