Abstract：Objective There are many kinds of traceability of medical devices, and there are problems such as large span and data
loss in the traceability of stored data. In order to improve the storage performance of medical device traceability data, to propose a
medical device traceability data storage method based on March algorithm. Methods Through the constructed filter, the medical
device traceability data was decomposed by wavelet transform and quantized by threshold value. Combined with the mixed entropy
coding, the coefficient of the retained traceability data was coded to complete the compression of the medical device traceability data.
The established cloud storage model was used to store the compressed traceability data, and March algorithm was used to traverse
each storage unit of the storage model to test whether there was any fault in the model, so as to realize the final storage of medical
device traceability data, and the effectiveness of the medical device traceability data storage method based on the March algorithm
was verified. Results The test results showed that the average residual energy of this method was in the range of 400-500 nJ, and
5000 traceable data could be stored, and the storage standard deviation was less than 15. Conclusion The medical device traceability
data storage method based on March algorithm has low energy consumption, large storage capacity and better load balancing
performance, which can provide reference for medical data management.
王飞. 基于March算法的医疗器械溯源
数据存储方法[J]. 中国医疗设备, 2023, 38(7): 39-44.
WANG Fei. Data Storage Method for Medical Device Traceability Based on March Algorithm. China Medical Devices, 2023, 38(7): 39-44.
