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

Sungmook Lim

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

Pageof 1
Sort By:
Frontiers in Chemistry|March 18, 2024
Epoxy-based multifunctional solid polymer electrolytes for structural batteries and supercapacitors. a short reviewNitai Chandra Adak, Sungmook Lim, Guk-Hwan Lee, et al.
Sensors (Basel, Switzerland)|November 11, 2022
Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW RadarSungmook Lim, Gwang Soo Jang, Wonyoung Song, et al.
Journal of Sleep Research|September 26, 2023
Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency-modulated continuous-wave radarJi Hyun Lee, Hyunwoo Nam, Dong Hyun Kim, et al.
Sensors (Basel, Switzerland)|October 14, 2022
Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort StudyJae Won Choi, Dong Hyun Kim, Dae Lim Koo, et al.
Pageof 1

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

Sort By:
Pageof 1
Frontiers in Chemistry|March 18, 2024
Epoxy-based multifunctional solid polymer electrolytes for structural batteries and supercapacitors. a short reviewNitai Chandra Adak, Sungmook Lim, Guk-Hwan Lee, et al.
Sensors (Basel, Switzerland)|November 11, 2022
Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW RadarSungmook Lim, Gwang Soo Jang, Wonyoung Song, et al.
Journal of Sleep Research|September 26, 2023
Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency-modulated continuous-wave radarJi Hyun Lee, Hyunwoo Nam, Dong Hyun Kim, et al.
Sensors (Basel, Switzerland)|October 14, 2022
Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort StudyJae Won Choi, Dong Hyun Kim, Dae Lim Koo, et al.
Pageof 1