E-LIB Suche - Ergebnisse für: McManus, Killian

1

Fall risk stratification of community-living older people. ..:

Topic Group on "Falls among the elderly" of the ITU/WHO Focus Group "Artificial Intelligence for Health" ; Albites-Sanabria, Jose ; Greene, Barry R...
Age and Ageing. 52 (2023) 10 - p. , 2023

Link: https://doi.org/10.1093/..

2

Development of Data-Driven Metrics for Balance Impairment a..:

McManus, Killian ; Greene, Barry R. ; Ader, Lilian Genaro Motti.
IEEE Transactions on Biomedical Engineering. 69 (2022) 7 - p. 2324-2332 , 2022

Link: https://doi.org/10.1109/..

3

Estimating balance, cognitive function, and falls risk usin..:

Greene, Barry R. ; Doheny, Emer P. ; McManus, Killian.
Wearable Technologies. 3 (2022) - p. , 2022

Link: https://doi.org/10.1017/..

4

Reliability of inertial sensor based spatiotemporal gait pa..:

Motti Ader, Lilian Genaro ; Greene, Barry R. ; McManus, Killian.
Gait & Posture. 85 (2021) - p. 1-6 , 2021

Link: https://doi.org/10.1016/..

5

Predicting Fall Counts Using Wearable Sensors: A Novel Digi..:

Greene, Barry R. ; Premoli, Isabella ; McManus, Killian..
Sensors. 22 (2021) 1 - p. 54 , 2021

Link: https://doi.org/10.3390/..

6

Unsupervised Assessment of Balance and Falls Risk Using a S..:

Greene, Barry R. ; McManus, Killian ; Ader, Lilian Genaro Motti.
Sensors. 21 (2021) 14 - p. 4770 , 2021

Link: https://doi.org/10.3390/..

7

Short Bouts of Gait Data and Body-Worn Inertial Sensors Can..:

Motti Ader, Lilian Genaro ; Greene, Barry R. ; McManus, Killian..
Biosensors. 10 (2020) 9 - p. 128 , 2020

Link: https://doi.org/10.3390/..

8

How many steps to represent individual gait?:

, In: Companion Proceedings of the 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems,

Ader, Lilian G. Motti ; McManus, Killian ; Greene, Barry R.. - p. 1-4 , 2020

Link: https://dl.acm.org/doi/1..

9

Impact of Exercise Intervention in Parkinson's Disease can ..:

, In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),

McManus, Killian ; McGrath, Denise ; Greene, Barry R.... - p. 3507-3510 , 2019

Link: https://doi.org/10.1109/..

10

Are You in Pain? Predicting Pain and Stiffness from Wearabl..:

, In: Lecture Notes in Computer Science; Artificial Intelligence XXXVI,

Sett, Niladri ; Mac Namee, Brian ; Calvo, Francesc... - p. 183-197 , 2019

Link: https://doi.org/10.1007/..

11

Digital assessment of falls risk, frailty, and mobility imp..:

Greene, Barry R. ; McManus, Killian ; Redmond, Stephen J...
npj Digital Medicine. 2 (2019) 1 - p. , 2019

Link: https://doi.org/10.1038/..

12

SENSOR-BASED ASSESSMENT OF FALLS RISK OF THE TIMED UP AND G..:

Caulfield, Brian ; Redmond, Stephen J ; McManus, Killian..
Innovation in Aging. 3 (2019) Supplement_1 - p. S10-S10 , 2019

Link: https://doi.org/10.1093/..

13

Predicting fall counts using wearable sensors:A novel digit..:

Greene, Barry R ; Premoli, Isabella ; McManus, Killian..
Greene , B R , Premoli , I , McManus , K , McGrath , D & Caulfield , B 2022 , ' Predicting fall counts using wearable sensors : A novel digital biomarker for parkinson's disease ' , SENSORS , vol. 22 , no. 1 , 54 . https://doi.org/10.3390/s22010054. , 2022

Link: https://kclpure.kcl.ac.u..

14

Predicting fall counts using wearable sensors:A novel digit..:

Greene, Barry R ; Premoli, Isabella ; McManus, Killian..
https://kclpure.kcl.ac.uk/portal/en/publications/402d508a-4736-4d98-be8f-93984fc342c4. , 2022

Link: https://kclpure.kcl.ac.u..

15

How Many Steps to Represent Individual Gait?:

Ader, Lilian Genaro Motti ; McManus, Killian ; Greene, Barry R.
978-1-4503-7984-7/20/06. , 2021

Link: http://hdl.handle.net/10..