Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ziv Yekutieli

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
Sensors (Basel, Switzerland)|November 30, 2019
Pilot Study of the EncephaLog Smartphone Application for Gait AnalysisKeren Tchelet, Alit Stark-Inbar, Ziv Yekutieli
Sensors (Basel, Switzerland)|June 10, 2022
Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force PlateKeren Tchelet Karlinsky, Yael Netz, Jeremy M Jacobs, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|May 28, 2021
Remote smartphone gait monitoring and fall prediction in Parkinson's disease during the COVID-19 lockdownMassimo Marano, Francesco Motolese, Mariagrazia Rossi, et al.
Frontiers in Neuroscience|April 27, 2011
Reduced synchronization persistence in neural networks derived from atm-deficient miceNoah Levine-Small, Ziv Yekutieli, Jonathan Aljadeff, et al.
Gerontology|September 13, 2021
Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and OlderYael Netz, Ziv Yekutieli, Michal Arnon, et al.
Sensors (Basel, Switzerland)|September 27, 2025
Sympathetic Burden Measured Through a Chest-Worn Sensor Correlates with Spatiotemporal Gait Performances and Global Cognition in Parkinson's DiseaseGabriele Sergi, Ziv Yekutieli, Mario Meloni, et al.
Multiple Sclerosis and Related Disorders|December 23, 2023
Smartphone-based gait assessment for multiple sclerosisKeren Regev, Noa Eren, Ziv Yekutieli, et al.
BMC Geriatrics|October 27, 2021
Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trialYael Netz, Esther Argov, Ziv Yekutieli, et al.
Journal of Medical Internet Research|October 15, 2025
A Smartphone Platform for Remote Motor Fitness Assessment and AI-Generated Personalized Exercise Programs for Older Adults: Randomized Controlled TrialYael Netz, Salit Bar-Shalom, Esther Argov, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|January 21, 2025
Fear of falling impairs spatiotemporal gait parameters, mobility, and quality of life in Parkinson's disease: a cross-sectional studyMassimo Marano, Gabriele Sergi, Alessandro Magliozzi, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|November 30, 2019
Pilot Study of the EncephaLog Smartphone Application for Gait AnalysisKeren Tchelet, Alit Stark-Inbar, Ziv Yekutieli
Sensors (Basel, Switzerland)|June 10, 2022
Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force PlateKeren Tchelet Karlinsky, Yael Netz, Jeremy M Jacobs, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|May 28, 2021
Remote smartphone gait monitoring and fall prediction in Parkinson's disease during the COVID-19 lockdownMassimo Marano, Francesco Motolese, Mariagrazia Rossi, et al.
Frontiers in Neuroscience|April 27, 2011
Reduced synchronization persistence in neural networks derived from atm-deficient miceNoah Levine-Small, Ziv Yekutieli, Jonathan Aljadeff, et al.
Gerontology|September 13, 2021
Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and OlderYael Netz, Ziv Yekutieli, Michal Arnon, et al.
Sensors (Basel, Switzerland)|September 27, 2025
Sympathetic Burden Measured Through a Chest-Worn Sensor Correlates with Spatiotemporal Gait Performances and Global Cognition in Parkinson's DiseaseGabriele Sergi, Ziv Yekutieli, Mario Meloni, et al.
Multiple Sclerosis and Related Disorders|December 23, 2023
Smartphone-based gait assessment for multiple sclerosisKeren Regev, Noa Eren, Ziv Yekutieli, et al.
BMC Geriatrics|October 27, 2021
Personalized multicomponent exercise programs using smartphone technology among older people: protocol for a randomized controlled trialYael Netz, Esther Argov, Ziv Yekutieli, et al.
Journal of Medical Internet Research|October 15, 2025
A Smartphone Platform for Remote Motor Fitness Assessment and AI-Generated Personalized Exercise Programs for Older Adults: Randomized Controlled TrialYael Netz, Salit Bar-Shalom, Esther Argov, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|January 21, 2025
Fear of falling impairs spatiotemporal gait parameters, mobility, and quality of life in Parkinson's disease: a cross-sectional studyMassimo Marano, Gabriele Sergi, Alessandro Magliozzi, et al.
Pageof 2