edentulism
Conditions
Interventions
True value group:Measure the occlusal plane data of patients using satisfactory full mouth restorations
Experimental group 5: Weighted Procrustes analysis algorithm 3 automatically constructs occlusal plane (proof by contradiction Euclidean distance matrix analysis algorithm E-value linear power functio
Experimental group 1: Automatic construction of occlusal plane using Procrustes analysis algorithm:Automatic construction of occlusal plane using Procrustes analysis algorithm
Experimental group 2: Power function weighted Procrustes analysis algorithm automatically constructs occlusal plane:Power function weighted Procrustes analysis algorithm automatically constructs occlu
Experimental group 3: Weighted Procrustes analysis algorithm 1 automatically constructs occlusal plane (self proving Euclidean distance matrix analysis algorithm E-value offset power function):Weighte
Experimental group 4: Weighted Procrustes analysis algorithm 2 automatically constructs occlusal plane (self proving Euclidean distance matrix analysis algorithm E-value linear power function):Weighte
Sponsors
Peking University Hospital of Stomatology
Eligibility
Sex/Gender
All
Age
20 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Over 20 years old; 2. Edentulous with denture restoration; 3. Normal opening degree; 4. Voluntarily participate in this study and provide informed consent.
Exclusion criteria
Exclusion criteria: 1.Acute and chronic temporomandibular joint disorders; 2.Chronic inflammation, hyperplasia, or other oral inflammatory states of the mucosa; 3.Poor compliance, unable to seek medical attention on time.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Plane angle error; | — |
Secondary
| Measure | Time frame |
|---|---|
| Standard for collecting landmark sets; | — |
Countries
China
Contacts
Public ContactShaoxia Pan
Peking University Hospital of Stomatology
Outcome results
None listed