Development of upper extremity orthosis using 3D printing

Development of the biosignal-based optimal machine-learning technology for the precision control of customized entry-level motion-assist or rehabilitation robot made using 3D printer

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0003995

Enrollment

Registered

2019-05-27

Start date

2019-03-27

Completion date

Unknown

Last updated

2019-06-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Medical Device : The performance of the orthosis is analyzed by comparing the hand functions before and after wearing the orthosis in cervical cord injury patient on the day of the experiment. Total e

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: chronic cervical cord injury patient (more than 6 months) with persistant hand disabilities

Exclusion criteria

Exclusion criteria: persistent other medical conditions due te severe spinal cord injuyr such as respiratory dysfunction.

Design outcomes

Primary

Measure	Time frame
Toronto rehabilitation Institute–Hand function test	—

Secondary

Measure	Time frame
Activities of Daily Livings	—

Countries

Korea, Republic of

Contacts

Public ContactHyun-Joon Yoo

Korea University Anam Hospital

pmnryoo@gmail.com+82-2-920-6471

Outcome results