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Barry R Greene

Showing results (11-20 of 66) with videos related to

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Chiropractic & Osteopathy|July 11, 2006
Intra-professional and inter-professional referral patterns of chiropractorsMonica Smith, Barry R Greene, Mitchell Haas, et al.
Wearable Technologies|March 15, 2024
Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand testBarry R Greene, Emer P Doheny, Killian McManus, et al.
Sensors (Basel, Switzerland)|January 11, 2022
Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's DiseaseBarry R Greene, Isabella Premoli, Killian McManus, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Development and validation of a clinic based balance assessment technologyLorcan Walsh, Barry R Greene, Denise McGrath, et al.
Ageing International|June 11, 2011
Technology Innovation Enabling Falls Risk Assessment in a Community SettingCliodhna Ni Scanaill, Chiara Garattini, Barry R Greene, et al.
Sensors (Basel, Switzerland)|July 24, 2021
Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine LearningBarry R Greene, Killian McManus, Lilian Genaro Motti Ader, et al.
The Journal of Ambulatory Care Management|September 18, 2007
Facilitators and barriers to improving interprofessional referral relationships between primary care physicians and chiropractorsVeerasathpurush Allareddy, Barry R Greene, Monica Smith, et al.
Age and Ageing|November 12, 2013
Frailty status can be accurately assessed using inertial sensors and the TUG testBarry R Greene, Emer P Doheny, Aisling O'Halloran, et al.
Physiological Measurement|September 20, 2014
Classification of frailty and falls history using a combination of sensor-based mobility assessmentsBarry R Greene, Emer P Doheny, Rose A Kenny, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Quantitative assessment of multiple sclerosis using inertial sensors and the TUG testBarry R Greene, Michael Healy, Stephanie Rutledge, et al.
Pageof 7

Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Chiropractic & Osteopathy|July 11, 2006
Intra-professional and inter-professional referral patterns of chiropractorsMonica Smith, Barry R Greene, Mitchell Haas, et al.
Wearable Technologies|March 15, 2024
Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand testBarry R Greene, Emer P Doheny, Killian McManus, et al.
Sensors (Basel, Switzerland)|January 11, 2022
Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's DiseaseBarry R Greene, Isabella Premoli, Killian McManus, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Development and validation of a clinic based balance assessment technologyLorcan Walsh, Barry R Greene, Denise McGrath, et al.
Ageing International|June 11, 2011
Technology Innovation Enabling Falls Risk Assessment in a Community SettingCliodhna Ni Scanaill, Chiara Garattini, Barry R Greene, et al.
Sensors (Basel, Switzerland)|July 24, 2021
Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine LearningBarry R Greene, Killian McManus, Lilian Genaro Motti Ader, et al.
The Journal of Ambulatory Care Management|September 18, 2007
Facilitators and barriers to improving interprofessional referral relationships between primary care physicians and chiropractorsVeerasathpurush Allareddy, Barry R Greene, Monica Smith, et al.
Age and Ageing|November 12, 2013
Frailty status can be accurately assessed using inertial sensors and the TUG testBarry R Greene, Emer P Doheny, Aisling O'Halloran, et al.
Physiological Measurement|September 20, 2014
Classification of frailty and falls history using a combination of sensor-based mobility assessmentsBarry R Greene, Emer P Doheny, Rose A Kenny, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Quantitative assessment of multiple sclerosis using inertial sensors and the TUG testBarry R Greene, Michael Healy, Stephanie Rutledge, et al.
Pageof 7