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

Gita Pendharkar

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Gait & Posture|February 4, 2012
Automated method to distinguish toe walking strides from normal strides in the gait of idiopathic toe walking children from heel accelerometry dataGita Pendharkar, Paul Percival, David Morgan, 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
Wavelet PCA for automatic identification of walking with and without an exoskeleton on a treadmill using pressure and accelerometer sensorsGanesh R Naik, Gita Pendharkar, Hung T Nguyen
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|November 2, 2023
Detecting early-stage Parkinson's disease from gait dataParvathy Nair, Maryam Shojaei Baghini, Gita Pendharkar, 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 24, 2009
Detecting idiopathic toe-walking gait pattern from normal gait pattern using heel accelerometry data and Support Vector MachinesGita Pendharkar, Daniel T H Lai, Rezaul K Begg
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Multiscale PCA to distinguish regular and irregular surfaces using tri axial head and trunk acceleration signalsGita Pendharkar, Ganesh R Naik, Amit Acharyya, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Predicting Early Stage Drug Induced Parkinsonism using Unsupervised and Supervised Machine LearningParvathy Nair, Roth Trisno, Maryam Shojaei Baghini, et al.
Australasian Psychiatry : Bulletin of Royal Australian and New Zealand College of Psychiatrists|February 26, 2020
Using accelerometer as a diagnostic tool to detect drug-induced parkinsonism (DIP) secondary to first-generation anti-psychotic medicationsRoth Trisno, Parvathy Nair, Daniel Martin, et al.
American Journal of Obstetrics and Gynecology|March 22, 2025
Intravaginal electrical stimulation of the pelvic floor for women with urinary incontinence - a systematic review of randomised controlled trialsDurga Naidu, Rohan Modi, Mugdha Kulkarni, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Gait & Posture|February 4, 2012
Automated method to distinguish toe walking strides from normal strides in the gait of idiopathic toe walking children from heel accelerometry dataGita Pendharkar, Paul Percival, David Morgan, 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
Wavelet PCA for automatic identification of walking with and without an exoskeleton on a treadmill using pressure and accelerometer sensorsGanesh R Naik, Gita Pendharkar, Hung T Nguyen
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|November 2, 2023
Detecting early-stage Parkinson's disease from gait dataParvathy Nair, Maryam Shojaei Baghini, Gita Pendharkar, 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 24, 2009
Detecting idiopathic toe-walking gait pattern from normal gait pattern using heel accelerometry data and Support Vector MachinesGita Pendharkar, Daniel T H Lai, Rezaul K Begg
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Multiscale PCA to distinguish regular and irregular surfaces using tri axial head and trunk acceleration signalsGita Pendharkar, Ganesh R Naik, Amit Acharyya, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Predicting Early Stage Drug Induced Parkinsonism using Unsupervised and Supervised Machine LearningParvathy Nair, Roth Trisno, Maryam Shojaei Baghini, et al.
Australasian Psychiatry : Bulletin of Royal Australian and New Zealand College of Psychiatrists|February 26, 2020
Using accelerometer as a diagnostic tool to detect drug-induced parkinsonism (DIP) secondary to first-generation anti-psychotic medicationsRoth Trisno, Parvathy Nair, Daniel Martin, et al.
American Journal of Obstetrics and Gynecology|March 22, 2025
Intravaginal electrical stimulation of the pelvic floor for women with urinary incontinence - a systematic review of randomised controlled trialsDurga Naidu, Rohan Modi, Mugdha Kulkarni, et al.
Pageof 1