Research on targets distinguishing and locating technique via UWB bioradar based on pixel segmentation algorithm / 医疗卫生装备
Chinese Medical Equipment Journal
; (6): 1-5, 2017.
Article
in Zh
| WPRIM
| ID: wpr-659379
Responsible library:
WPRO
ABSTRACT
Objective To explore the feasibility and applicable conditions of one-dimensional distance distinction combining pixel segmentation algorithm in multi-target recognition and identification of multi-channel ultra wide-band bioradar.Methods The signals the radar received were decomposed,reconstructed and filtered,and one-dimensional distance distinction algorithm was applied to achieving multi-target distance discrimination,then multi-target two-dimensional positioning was achieved based on the principle of angle determination applying pixel segmentation algorithm.Finally,a target positioning experiment was executed by collecting 10 volunteers using the method above.Results The experiment indicated that pixel segmentation algorithm gained advantages when used for positioning a single target while disadvantages for multi target.Concluslon It's proved that it's feasible to locate three or less targets with one-dimensional distance distinction as well as two-dimensional locating based on pixel segmentation algorithm.Positioning accuracies are different in case of numbers of targets.
Full text:
1
Index:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Chinese Medical Equipment Journal
Year:
2017
Type:
Article