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

Nivedita Bijlani

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
JMIR Aging|September 19, 2022
An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort StudyNivedita Bijlani, Ramin Nilforooshan, Samaneh Kouchaki
Sensors (Basel, Switzerland)|January 10, 2026
VitalCSI: Contactless Respiratory Rate Estimation Using Consumer-Grade Wi-Fi Channel State InformationTom Michaelis, João Jorge, Nivedita Bijlani, 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 5, 2025
Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoringNivedita Bijlani, Maowen Yin, Gustavo Carneiro, et al.
Computers in Biology and Medicine|October 25, 2024
Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia careNivedita Bijlani, Oscar Mendez Maldonado, Ramin Nilforooshan, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
JMIR Aging|September 19, 2022
An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort StudyNivedita Bijlani, Ramin Nilforooshan, Samaneh Kouchaki
Sensors (Basel, Switzerland)|January 10, 2026
VitalCSI: Contactless Respiratory Rate Estimation Using Consumer-Grade Wi-Fi Channel State InformationTom Michaelis, João Jorge, Nivedita Bijlani, 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 5, 2025
Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoringNivedita Bijlani, Maowen Yin, Gustavo Carneiro, et al.
Computers in Biology and Medicine|October 25, 2024
Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia careNivedita Bijlani, Oscar Mendez Maldonado, Ramin Nilforooshan, et al.
Pageof 1