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Øyvind Meinich-Bache
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Motion based detection of respiration rate in infants using video
DM Tveit, K Engan, I Austvoll, Ø Meinich-Bache
2016 IEEE International Conference on Image Processing (ICIP), 1225-1229, 2016
322016
Activity recognition from newborn resuscitation videos
Ø Meinich-Bache, SL Austnes, K Engan, I Austvoll, T Eftestøl, H Myklebust, ...
IEEE journal of biomedical and health informatics 24 (11), 3258-3267, 2020
242020
Object detection during newborn resuscitation activities
Ø Meinich-Bache, K Engan, I Austvoll, T Eftestøl, H Myklebust, LB Yarrot, ...
IEEE journal of biomedical and health informatics 24 (3), 796-803, 2019
162019
Real‐time chest compression quality measurements by smartphone camera
Ø Meinich-Bache, K Engan, TS Birkenes, H Myklebust
Journal of healthcare engineering 2018 (1), 6241856, 2018
132018
Newborn Time-improved newborn care based on video and artificial intelligence-study protocol
K Engan, Ø Meinich-Bache, S Brunner, H Myklebust, C Rong, ...
BMC Digital Health 1 (1), 10, 2023
82023
Detecting chest compression depth using a smartphone camera and motion segmentation
Ø Meinich-Bache, K Engan, T Eftestøl, I Austvoll
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017
72017
Towards using thermal cameras in birth detection
J García-Torres, Ø Meinich-Bache, S Brunner, A Johannessen, S Rettedal, ...
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022
52022
Robust real-time chest compression rate detection from smartphone video
Ø Meinich-Bache, K Engan, TS Birkenes, H Myklebust
Proceedings of the 10th International Symposium on Image and Signal …, 2017
32017
Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos
J García-Torres, Ø Meinich-Bache, SI Rettedal, A Kibsgaard, S Brunner, ...
Northern Lights Deep Learning Conference 2024, 2024
22024
Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data
J Urdal, K Engan, T Eftestøl, Ø Meinich-Bache, IA Haug, PF Mdoe, ...
Biomedical Signal Processing and Control 86, 105290, 2023
22023
Usability, acceptability and feasibility of a novel technology with visual guidance with video and audio recording during newborn resuscitation: a pilot study
KC Ashish, SYJ Kong, O Basnet, SH Haaland, P Bhattarai, Ø Gomo, ...
BMJ health & care informatics 29 (1), 2022
22022
Semi-Supervised Action Recognition From Newborn Resuscitation Videos
STH Rizvi, Ø Meinich-Bache, V Kolstad, S Rettedal, S Brunner, K Engan
2024 IEEE International Conference on Image Processing (ICIP), 2347-2353, 2024
2024
Detection of time of birth and cord clamping using thermal video in the delivery room
V Kolstad, J García-Torres, S Brunner, A Johannessen, E Foglia, H Ersdal, ...
Frontiers in Pediatrics 12, 1342415, 2024
2024
Mothers’ acceptability of using novel technology with video and audio recording during newborn resuscitation: A cross-sectional survey
SYJ Kong, A Acharya, O Basnet, SH Haaland, R Gurung, Ø Gomo, ...
PLOS Digital Health 3 (4), e0000471, 2024
2024
Analysis and Knowledge Extraction of Newborn Resuscitation Activities from Annotation Files
M Abukmeil, Ø Meinich-Bache, T Eftestøl, S Rettedal, H Myklebust, ...
2024
Towards using Thermal Cameras in Birth Detection
J Garcia-Torres Fernandez, Ø Meinich-Bache, B Sara, A Johannessen, ...
2022 IEEE 14th image video and multidimensional signal processing workshop …, 2022
2022
Automatic Video Analysis in Resuscitation
Ø Meinich-Bache
University of Stavanger, Norway, 2020
2020
Kinect Modelling of Chest Compressions-A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies
Ø Meinich-Bache, K Engan, T Eftestøl, I Austvoll
2018 25th IEEE International Conference on Image Processing (ICIP), 913-917, 2018
2018
Knowledge Extraction and Representation Learning from Medical Text Data: Application to Resuscitation Data Analysis
M Abukmeil, Ø Meinich-Bache, TC Eftestøl, H Ersdal, S Rettedal, ...
Kjersti, Knowledge Extraction and Representation Learning from Medical Text …, 0
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