McManus K - Search Results

1

Impact of Exercise Intervention in Parkinson's Disease can be Quantified Using Inertial Sensor Data and Clinical Tests.

McManus K, McGrath D, Greene BR, Lennon O, McMahon L, Caulfield B. McManus K, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:3507-3510. doi: 10.1109/EMBC.2019.8857162. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946634

2

Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors.

Greene BR, McManus K, Redmond SJ, Caulfield B, Quinn CC. Greene BR, et al. Among authors: mcmanus k. NPJ Digit Med. 2019 Dec 11;2:125. doi: 10.1038/s41746-019-0204-z. eCollection 2019. NPJ Digit Med. 2019. PMID: 31840096 Free PMC article.

3

Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis.

Motti Ader LG, Greene BR, McManus K, Tubridy N, Caulfield B. Motti Ader LG, et al. Among authors: mcmanus k. Biosensors (Basel). 2020 Sep 20;10(9):128. doi: 10.3390/bios10090128. Biosensors (Basel). 2020. PMID: 32962269 Free PMC article.

4

Reliability of inertial sensor based spatiotemporal gait parameters for short walking bouts in community dwelling older adults.

Motti Ader LG, Greene BR, McManus K, Caulfield B. Motti Ader LG, et al. Among authors: mcmanus k. Gait Posture. 2021 Mar;85:1-6. doi: 10.1016/j.gaitpost.2021.01.010. Epub 2021 Jan 14. Gait Posture. 2021. PMID: 33497966 Free article.

5

Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning.

Greene BR, McManus K, Ader LGM, Caulfield B. Greene BR, et al. Among authors: mcmanus k. Sensors (Basel). 2021 Jul 13;21(14):4770. doi: 10.3390/s21144770. Sensors (Basel). 2021. PMID: 34300509 Free PMC article.

6

Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's Disease.

Greene BR, Premoli I, McManus K, McGrath D, Caulfield B. Greene BR, et al. Among authors: mcmanus k. Sensors (Basel). 2021 Dec 22;22(1):54. doi: 10.3390/s22010054. Sensors (Basel). 2021. PMID: 35009599 Free PMC article.

7

Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults.

McManus K, Greene BR, Ader LGM, Caulfield B. McManus K, et al. IEEE Trans Biomed Eng. 2022 Jul;69(7):2324-2332. doi: 10.1109/TBME.2022.3142617. Epub 2022 Jun 17. IEEE Trans Biomed Eng. 2022. PMID: 35025734

8

Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test.

Greene BR, Doheny EP, McManus K, Caulfield B. Greene BR, et al. Among authors: mcmanus k. Wearable Technol. 2022 Jun 7;3:e9. doi: 10.1017/wtc.2022.6. eCollection 2022. Wearable Technol. 2022. PMID: 38486905 Free PMC article.

9

Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management.

Topic Group on “Falls among the elderly” of the ITU/WHO Focus Group “Artificial Intelligence for Health”; Albites-Sanabria J, Greene BR, McManus K, Palmerini L, Palumbo P, Sousa I, van Schooten KS, Weicken E, Wenzel M. Topic Group on “Falls among the elderly” of the ITU/WHO Focus Group “Artificial Intelligence for Health”, et al. Among authors: mcmanus k. Age Ageing. 2023 Oct 2;52(10):afad162. doi: 10.1093/ageing/afad162. Age Ageing. 2023. PMID: 37897807 Free PMC article.

10

Reconstructing parent genomes using siblings and other relatives.

Qiao Y, Jewett EM, McManus KF, Freyman WA, Curran JE, Williams-Blangero S, Blangero J; 23andMe Research Team; Williams AL. Qiao Y, et al. Among authors: mcmanus kf. bioRxiv [Preprint]. 2024 May 14:2024.05.10.593578. doi: 10.1101/2024.05.10.593578. bioRxiv. 2024. PMID: 38798596 Free PMC article. Preprint.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

335 results

Search Page