- VernacularTitle:用于辅助中医诊断的居家健康监测设备多节点数据融合方式
- Author:
Qicheng YANG
1
;
Chuanbiao WEN
;
Yibo ZHOU
;
Tao YANG
;
Junying ZHU
;
Ji LUO
;
Ju CHEN
Author Information
- Keywords: Traditional Chinese medicine diagnosis; Internet of Things; Home health; Data fusion
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(5):1344-1353
- CountryChina
- Language:Chinese
- Abstract: Objective To solve the problem of large data volume,multiple dimensions and low value for assisting traditional Chinese medicine clinical diagnosis in home health perception layer devices.Methods Based on the principles of traditional Chinese medicine diagnosis,this paper divides home health data into three types:complementary,redundant,and collaborative,and proposes a solution for data fusion at the levels of device data,home events,and traditional Chinese medicine symptoms.Results The proposed data fusion solution in this paper enables the data collected by various devices in the home environment to work together,extracts home data that is more valuable for traditional Chinese medicine diagnosis,and reduces the real-time pressure on the home network bandwidth caused by the sensors on the home side.Conclusion The construction of an open IoT ecosystem for home health based on multiple devices is a huge project,which includes the construction of perception layer hardware,data cleaning,fusion,normalization,labeling,modeling,and other aspects.This paper focuses on the idea of home health data fusion,which can provide directions for cleaning up heterogeneous data from multiple sources at home and also provide ideas for subsequent data labeling and modeling with traditional Chinese medicine characteristics,thus providing more valuable decision-making assistance for traditional Chinese medicine clinical practice.