Health Condition 1: G510- Bells palsy
Conditions
Interventions
Intervention1: Nil: Nil
Sponsors
Rohan Birajdar
Eligibility
Inclusion criteria
Inclusion criteria: Subjects diagnosed with Bell s Palsy in acute stages to subacute in the age group 18 and above. Age and gender-matched subjects without facial palsy.
Exclusion criteria
Exclusion criteria: 1. Subjects with facial asymmetry arising from causes other than Bell s palsy. 2. Subjects with other neurological conditions 3. Subjects with facial trauma and UMN facial palsy. 4. Subjects with asymmetric loss of dentation.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The data generated based on photogrammetry at various stages of Bell s palsy prognosis will be used to train artificial intelligence to identify asymmetry and estimate its degree of severity. The photogrammetry data collected from normal subjects will be used as a comparator for training the AI.Timepoint: The data generated based on photogrammetry at various stages of Bell s palsy prognosis will be used to train artificial intelligence to identify asymmetry and estimate its degree of severity. The photogrammetry data collected from normal subjects will be used as a comparator for training the AI. The procedure will be carried out twice, on the day of enrolment to the study (0) and after completion of the 4th week. | — |
Secondary
| Measure | Time frame |
|---|---|
| The data generated based on photogrammetry at various stages of Bell s palsy prognosis will be used to train artificial intelligence to identify asymmetry & estimate its degree of severity. The photogrammetry data collected from normal subjects will be used as a comparator for training the AI. The procedure will be carried out twice, on the day of enrolment to the study (0) & after completion of the 4th week.Timepoint: for healthy individuals once | — |
Countries
India
Contacts
Public ContactDr Abraham M Joshua
Department of Physiotherapy, Kasturba Medical College, Mangalore,
Outcome results
None listed