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Items: 4

1.

Classification of foot drop gait characteristic due to lumbar radiculopathy using machine learning algorithms.

Sharif Bidabadi S, Murray I, Lee GYF, Morris S, Tan T.

Gait Posture. 2019 May 4;71:234-240. doi: 10.1016/j.gaitpost.2019.05.010. [Epub ahead of print]

PMID:
31082655
2.

Validation of Thigh Angle Estimation Using Inertial Measurement Unit Data against Optical Motion Capture Systems.

Abhayasinghe N, Murray I, Sharif Bidabadi S.

Sensors (Basel). 2019 Jan 31;19(3). pii: E596. doi: 10.3390/s19030596.

3.

Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system.

Sharif Bidabadi S, Murray I, Lee GYF.

Biomed Eng Lett. 2018 May 17;8(3):283-290. doi: 10.1007/s13534-018-0072-5. eCollection 2018 Aug.

4.

The application of inertial measurements unit for the clinical evaluation and assessment of gait events.

Sharif Bidabadi S, Murray I, Lee GYF.

J Med Eng Technol. 2017 Nov;41(8):612-622. doi: 10.1080/03091902.2017.1382588. Epub 2017 Oct 5.

PMID:
28978243

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