Zobrazeno 1 - 10
of 310
pro vyhledávání: '"Joo-Hyun Lee"'
Autor:
Joo-Hyun Lee, Hee-Kyung Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract This study aimed to explore the clinical applicability of the shade-matching function in intraoral scanners. This study measured the tooth colors of maxillary anterior dentitions of 83 adults using visual matching, a spectrophotometer, and a
Externí odkaz:
https://doaj.org/article/db37700752094494a1fc018ce707cd8b
Publikováno v:
Sensors, Vol 24, Iss 17, p 5805 (2024)
This paper proposes a novel drone detection method based on a convolutional neural network (CNN) utilizing range–Doppler map images from a frequency-modulated continuous-wave (FMCW) radar. The existing drone detection and identification techniques,
Externí odkaz:
https://doaj.org/article/af9203401c1d41eab182994b05ae4cad
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundThe aim of this study was to investigate the impact of rheumatoid arthritis (RA) on the prevalence of bronchial asthma and asthma-related comorbidities. We also aimed to identify the influence of RA on interrelationship between asthma and a
Externí odkaz:
https://doaj.org/article/103779d38dc44dcaa71e483c9662137a
Publikováno v:
BMC Sports Science, Medicine and Rehabilitation, Vol 14, Iss 1, Pp 1-8 (2022)
Abstract Background Knee injuries in the lower limbs frequently occur, and lower limb muscles need to be strengthened to reduce injuries. Activating muscles can help strengthen muscles.. This study aimed to determine the squat exercises [general squa
Externí odkaz:
https://doaj.org/article/d073b4ccb3954f5a8049642d6e0e17d4
Publikováno v:
IEEE Access, Vol 10, Pp 56031-56043 (2022)
The fully convolutional time-domain speech separation network (Conv-TasNet) has been used as a backbone model in various studies because of its structural excellence. To maximize the performance and efficiency of Conv-TasNet, we attempt to apply a ne
Externí odkaz:
https://doaj.org/article/10d2db5e8fc14a62adf46c98d715ae1d
Publikováno v:
BMC Pulmonary Medicine, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Asthma and osteoarthritis (OA) are medical conditions that inhibit physical activity and adversely affect quality of life. Despite the high prevalence, there are limited studies focusing on the comorbid condition and association b
Externí odkaz:
https://doaj.org/article/8564d9d8a38644618ae01fb5083a178d
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Various commercially available nociception devices have been developed to quantify intraoperative pain. The Surgical Pleth Index (SPI) and Analgesia Nociception Index (ANI) are among the analgesic indices that have been widely used for the evaluation
Externí odkaz:
https://doaj.org/article/1e82c0c373b04002aad4e63d38b8c156
Autor:
Sung-Hee Oh, Dam Kim, Young Eun Lee, Deog-Yoon Kim, Yu Kyung Lee, Joo-Hyun Lee, Sang-Cheol Bae, Yun Young Choi, Junhee Pyo, Jeonghoon Ahn, Yoon-Kyoung Sung
Publikováno v:
BMC Musculoskeletal Disorders, Vol 19, Iss 1, Pp 1-9 (2018)
Abstract Background Vertebral Fracture Assessment (VFA) is a useful tool to detect the vertebral fracture (VF) with low cost and radiation exposure. We aimed to compare screening strategies including VFA and spine radiography (X-ray) for detecting VF
Externí odkaz:
https://doaj.org/article/460df3d206d547ec9295db918779bd8d
Publikováno v:
Medicina, Vol 56, Iss 7, p 335 (2020)
Background and objectives: Anterior cruciate ligament reconstruction (ACLR) often results in quadricep atrophy. The purpose of this study was to compare the bilateral thickness of each quadricep component before and after ACLR. Materials and Methods:
Externí odkaz:
https://doaj.org/article/d90fa8c88d204f62b5271c8439535653
Publikováno v:
Occupational Therapy International, Vol 2017 (2017)
This study investigated the reliability and validity of the Korean version of the Utrecht Scale for Evaluation of Rehabilitation-Participation (K-USER-P) in patients with stroke. Stroke patients participated in this study. The Utrecht Scale for Evalu
Externí odkaz:
https://doaj.org/article/08aadc6fc22045f091af67016a76f530