Albert MV - Search Results

1

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation.

Tabashum T, Xiao T, Jayaraman C, Mummidisetty CK, Jayaraman A, Albert MV. Tabashum T, et al. Among authors: albert mv. Bioengineering (Basel). 2022 Oct 18;9(10):572. doi: 10.3390/bioengineering9100572. Bioengineering (Basel). 2022. PMID: 36290540 Free PMC article.

2

Fall classification by machine learning using mobile phones.

Albert MV, Kording K, Herrmann M, Jayaraman A. Albert MV, et al. PLoS One. 2012;7(5):e36556. doi: 10.1371/journal.pone.0036556. Epub 2012 May 7. PLoS One. 2012. PMID: 22586477 Free PMC article.

3

Monitoring functional capability of individuals with lower limb amputations using mobile phones.

Albert MV, McCarthy C, Valentin J, Herrmann M, Kording K, Jayaraman A. Albert MV, et al. PLoS One. 2013 Jun 4;8(6):e65340. doi: 10.1371/journal.pone.0065340. Print 2013. PLoS One. 2013. PMID: 23750254 Free PMC article.

4

Monitoring daily function in persons with transfemoral amputations using a commercial activity monitor: a feasibility study.

Albert MV, Deeny S, McCarthy C, Valentin J, Jayaraman A. Albert MV, et al. PM R. 2014 Dec;6(12):1120-7. doi: 10.1016/j.pmrj.2014.06.006. Epub 2014 Jun 17. PM R. 2014. PMID: 24954402

5

Evaluating the Functionality and Usability of Two Novel Wheelchair Anti-Rollback Devices for Ramp Ascent in Manual Wheelchair Users With Spinal Cord Injury.

Deems-Dluhy SL, Jayaraman C, Green S, Albert MV, Jayaraman A. Deems-Dluhy SL, et al. Among authors: albert mv. PM R. 2017 May;9(5):483-493. doi: 10.1016/j.pmrj.2016.09.007. Epub 2016 Sep 21. PM R. 2017. PMID: 27664403

6

In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury.

Albert MV, Azeze Y, Courtois M, Jayaraman A. Albert MV, et al. J Neuroeng Rehabil. 2017 Feb 6;14(1):10. doi: 10.1186/s12984-017-0222-5. J Neuroeng Rehabil. 2017. PMID: 28166824 Free PMC article.

7

Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications.

Shawen N, Lonini L, Mummidisetty CK, Shparii I, Albert MV, Kording K, Jayaraman A. Shawen N, et al. Among authors: albert mv. JMIR Mhealth Uhealth. 2017 Oct 11;5(10):e151. doi: 10.2196/mhealth.8201. JMIR Mhealth Uhealth. 2017. PMID: 29021127 Free PMC article.

8

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications.

Shawen N, Lonini L, Mummidisetty CK, Shparii I, Albert MV, Kording K, Jayaraman A. Shawen N, et al. Among authors: albert mv. JMIR Mhealth Uhealth. 2017 Dec 20;5(12):e167. doi: 10.2196/mhealth.9177. JMIR Mhealth Uhealth. 2017. PMID: 29261509 Free PMC article.

9

Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning.

Zelman S, Dow M, Tabashum T, Xiao T, Albert MV. Zelman S, et al. Among authors: albert mv. J Healthc Eng. 2020 Oct 10;2020:8869134. doi: 10.1155/2020/8869134. eCollection 2020. J Healthc Eng. 2020. PMID: 33101617 Free PMC article.

10

Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response.

Tabashum T, Zaffer A, Yousefzai R, Colletta K, Jost MB, Park Y, Chawla J, Gaynes B, Albert MV, Xiao T. Tabashum T, et al. Among authors: albert mv. Front Med (Lausanne). 2021 Mar 25;8:645293. doi: 10.3389/fmed.2021.645293. eCollection 2021. Front Med (Lausanne). 2021. PMID: 33842509 Free PMC article.

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