Evaluation method of smart bracelet health monitoring accuracy based on multi-level data fusion Online publication date: Wed, 07-Sep-2022
by Weicheng Ma; Yanfei Lv
International Journal of Product Development (IJPD), Vol. 26, No. 1/2/3/4, 2022
Abstract: In the process of smart bracelet health monitoring, there are some problems, such as low efficiency of accuracy evaluation and high fusion error rate. An accuracy evaluation method of smart bracelet health monitoring based on multi-level data fusion. The intelligent bracelet is monitored by information collection, information judgment and information display. The v1.1 temperature acquisition sensor and pulse sensor are selected to measure the temperature, heart rate and blood oxygen saturation. The cloud design and fuzzy information clustering method are used to realise the effective integration of multi-level data and information, and the maximum likelihood estimation model of the health index of the intelligent bracelet is established to obtain the intelligent information evaluation results of the accuracy of health monitoring of bracelet. The experimental results show that the accuracy evaluation efficiency of the proposed method is always above 80%, and the fusion error rate is always below 0.1%.
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