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Sabato Mellone

Showing results (41-50 of 68) with videos related to

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Sensors (Basel, Switzerland)|January 26, 2019
Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61⁻70 Years OldAlice Coni, Jeanine M Van Ancum, Ronny Bergquist, et al.
Sensors (Basel, Switzerland)|December 19, 2020
Will We Do If We Can? Habitual Qualitative and Quantitative Physical Activity in Multi-Morbid, Older Persons with Cognitive ImpairmentBastian Abel, Martin Bongartz, Tobias Eckert, et al.
Studies in Health Technology and Informatics|May 23, 2026
A FHIR Consent Profile for European Research BiobanksAlessandro Sulis, Cecilia Mascia, Giovanni Delussu, et al.
Studies in Health Technology and Informatics|May 23, 2026
Toward Interoperable Variable Definitions: A FHIR-Based Standardization Strategy for the METASTRA ProjectSerena Moscato, Alberto Marfoglia, Valerio Antonio Arcobelli, et al.
Scientific Data|July 20, 2024
FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patientsValerio Antonio Arcobelli, Serena Moscato, Pierpaolo Palumbo, et al.
Gerontology|December 5, 2022
Using Smartphone TechnolOGy to Support an EffecTive Home ExeRcise Intervention to Prevent Falls amongst Community-Dwelling Older Adults: The TOGETHER Feasibility RCTHelen Hawley-Hague, Carlo Tacconi, Sabato Mellone, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approachAlan K Bourke, Jochen Klenk, Lars Schwickert, et al.
Micromachines|November 25, 2023
Exploring Microphone Technologies for Digital Auscultation DevicesMatteo Zauli, Lorenzo Mistral Peppi, Luca Di Bonaventura, et al.
Sensors (Basel, Switzerland)|September 9, 2020
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go TestRonny Bergquist, Corinna Nerz, Kristin Taraldsen, et al.
Physiological Measurement|September 10, 2019
Validity, reliability, and feasibility of the uSense activity monitor to register physical activity and gait performance in habitual settings of geriatric patientsMartin Bongartz, Rainer Kiss, André Lacroix, et al.
Pageof 7

Showing results (41-50 of 68) with videos related to

Sort By:
Pageof 7
Sensors (Basel, Switzerland)|January 26, 2019
Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61⁻70 Years OldAlice Coni, Jeanine M Van Ancum, Ronny Bergquist, et al.
Sensors (Basel, Switzerland)|December 19, 2020
Will We Do If We Can? Habitual Qualitative and Quantitative Physical Activity in Multi-Morbid, Older Persons with Cognitive ImpairmentBastian Abel, Martin Bongartz, Tobias Eckert, et al.
Studies in Health Technology and Informatics|May 23, 2026
A FHIR Consent Profile for European Research BiobanksAlessandro Sulis, Cecilia Mascia, Giovanni Delussu, et al.
Studies in Health Technology and Informatics|May 23, 2026
Toward Interoperable Variable Definitions: A FHIR-Based Standardization Strategy for the METASTRA ProjectSerena Moscato, Alberto Marfoglia, Valerio Antonio Arcobelli, et al.
Scientific Data|July 20, 2024
FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patientsValerio Antonio Arcobelli, Serena Moscato, Pierpaolo Palumbo, et al.
Gerontology|December 5, 2022
Using Smartphone TechnolOGy to Support an EffecTive Home ExeRcise Intervention to Prevent Falls amongst Community-Dwelling Older Adults: The TOGETHER Feasibility RCTHelen Hawley-Hague, Carlo Tacconi, Sabato Mellone, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approachAlan K Bourke, Jochen Klenk, Lars Schwickert, et al.
Micromachines|November 25, 2023
Exploring Microphone Technologies for Digital Auscultation DevicesMatteo Zauli, Lorenzo Mistral Peppi, Luca Di Bonaventura, et al.
Sensors (Basel, Switzerland)|September 9, 2020
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go TestRonny Bergquist, Corinna Nerz, Kristin Taraldsen, et al.
Physiological Measurement|September 10, 2019
Validity, reliability, and feasibility of the uSense activity monitor to register physical activity and gait performance in habitual settings of geriatric patientsMartin Bongartz, Rainer Kiss, André Lacroix, et al.
Pageof 7