1.Machine Learning for Movement Pattern Changes during Kinect-Based Mixed Reality Exercise Programs in Women with Possible Sarcopenia: Pilot Study
Yunho SUNG ; Ji-won SEO ; Byunggul LIM ; Shu JIANG ; Xinxing LI ; Parivash JAMRASI ; So Young AHN ; Seohyun AHN ; Yuseon KANG ; Hyejung SHIN ; Donghyun KIM ; Dong Hyun YOON ; Wook SONG
Annals of Geriatric Medicine and Research 2024;28(4):427-436
Background:
Sarcopenia is a muscle-wasting condition that affects older individuals. It can lead to changes in movement patterns, which can increase the risk of falls and other injuries.
Methods:
Older women participants aged ≥65 years who could walk independently were recruited and classified into two groups based on knee extension strength (KES). Participants with low KES scores were assigned to the possible sarcopenia group (PSG; n=7) and an 8-week exercise intervention was implemented. Healthy seniors with high KES scores were classified as the reference group (RG; n=4), and a 3-week exercise intervention was conducted. Kinematic movement data were recorded during the intervention period. All participants' exercise repetitions were used in the data analysis (number of data points=1,128).
Results:
The PSG showed significantly larger movement patterns in knee rotation during wide squats compared to the RG, attributed to weakened lower limb strength. The voting classifier, trained on the movement patterns from wide squats, determined that significant differences in overall movement patterns between the two groups persisted until the end of the exercise intervention. However, after the exercise intervention, significant improvements in lower limb strength in the PSG resulted in reduced knee rotation range of motion and max, thereby stabilizing movements and eliminating significant differences with the RG.
Conclusion
This study suggests that exercise interventions can modify the movement patterns in older individuals with possible sarcopenia. These findings provide fundamental data for developing an exercise management system that remotely tracks and monitors the movement patterns of older adults during exercise activities.
2.Machine Learning for Movement Pattern Changes during Kinect-Based Mixed Reality Exercise Programs in Women with Possible Sarcopenia: Pilot Study
Yunho SUNG ; Ji-won SEO ; Byunggul LIM ; Shu JIANG ; Xinxing LI ; Parivash JAMRASI ; So Young AHN ; Seohyun AHN ; Yuseon KANG ; Hyejung SHIN ; Donghyun KIM ; Dong Hyun YOON ; Wook SONG
Annals of Geriatric Medicine and Research 2024;28(4):427-436
Background:
Sarcopenia is a muscle-wasting condition that affects older individuals. It can lead to changes in movement patterns, which can increase the risk of falls and other injuries.
Methods:
Older women participants aged ≥65 years who could walk independently were recruited and classified into two groups based on knee extension strength (KES). Participants with low KES scores were assigned to the possible sarcopenia group (PSG; n=7) and an 8-week exercise intervention was implemented. Healthy seniors with high KES scores were classified as the reference group (RG; n=4), and a 3-week exercise intervention was conducted. Kinematic movement data were recorded during the intervention period. All participants' exercise repetitions were used in the data analysis (number of data points=1,128).
Results:
The PSG showed significantly larger movement patterns in knee rotation during wide squats compared to the RG, attributed to weakened lower limb strength. The voting classifier, trained on the movement patterns from wide squats, determined that significant differences in overall movement patterns between the two groups persisted until the end of the exercise intervention. However, after the exercise intervention, significant improvements in lower limb strength in the PSG resulted in reduced knee rotation range of motion and max, thereby stabilizing movements and eliminating significant differences with the RG.
Conclusion
This study suggests that exercise interventions can modify the movement patterns in older individuals with possible sarcopenia. These findings provide fundamental data for developing an exercise management system that remotely tracks and monitors the movement patterns of older adults during exercise activities.
3.Machine Learning for Movement Pattern Changes during Kinect-Based Mixed Reality Exercise Programs in Women with Possible Sarcopenia: Pilot Study
Yunho SUNG ; Ji-won SEO ; Byunggul LIM ; Shu JIANG ; Xinxing LI ; Parivash JAMRASI ; So Young AHN ; Seohyun AHN ; Yuseon KANG ; Hyejung SHIN ; Donghyun KIM ; Dong Hyun YOON ; Wook SONG
Annals of Geriatric Medicine and Research 2024;28(4):427-436
Background:
Sarcopenia is a muscle-wasting condition that affects older individuals. It can lead to changes in movement patterns, which can increase the risk of falls and other injuries.
Methods:
Older women participants aged ≥65 years who could walk independently were recruited and classified into two groups based on knee extension strength (KES). Participants with low KES scores were assigned to the possible sarcopenia group (PSG; n=7) and an 8-week exercise intervention was implemented. Healthy seniors with high KES scores were classified as the reference group (RG; n=4), and a 3-week exercise intervention was conducted. Kinematic movement data were recorded during the intervention period. All participants' exercise repetitions were used in the data analysis (number of data points=1,128).
Results:
The PSG showed significantly larger movement patterns in knee rotation during wide squats compared to the RG, attributed to weakened lower limb strength. The voting classifier, trained on the movement patterns from wide squats, determined that significant differences in overall movement patterns between the two groups persisted until the end of the exercise intervention. However, after the exercise intervention, significant improvements in lower limb strength in the PSG resulted in reduced knee rotation range of motion and max, thereby stabilizing movements and eliminating significant differences with the RG.
Conclusion
This study suggests that exercise interventions can modify the movement patterns in older individuals with possible sarcopenia. These findings provide fundamental data for developing an exercise management system that remotely tracks and monitors the movement patterns of older adults during exercise activities.
4.Clinical Analysis and Red Flag Signs in Pediatric Headache According to Age
Yoon Hee JO ; Yoo Jung LEE ; Donghyun SHIN ; Soo Young LYU ; Juhyun KONG ; Yun-Jin LEE ; Sang Ook NAM ; Young Mi KIM
Annals of Child Neurology 2024;32(2):122-129
Purpose:
The clinical characteristics of headaches vary by age among pediatric patients. Red flag signs are key factors in differentiating secondary headaches and should be considered in the context of the patient’s age.
Methods:
This study involved a retrospective chart review of pediatric patients presenting with headaches. Patients were categorized by age into three groups: pre-school age (under 6 years), school-age (6 to 12 years), and adolescence (over 12 years). Demographic data, headache characteristics, laboratory findings, and neuroimaging results were evaluated. Overall, 17 potential red flags were assessed.
Results:
A total of 687 patients were included, of whom 102 were of pre-school age, 314 were school-aged, and 271 were adolescents. The frequency of overweight/obesity was found to increase with age. The pre-school age group experienced a shorter period from symptom onset to presentation and a briefer duration of pain. In contrast, adolescents displayed a longer period from symptom onset, a greater frequency of headaches occurring at least three times per week, and a higher rate of headache episodes lasting over 3 days. Children under 6 years old were more commonly diagnosed with secondary headaches than older children. Across age groups, secondary headaches were suspected when systemic symptoms such as fever were present, when the headache had a sudden onset, when the patient responded poorly to medication, or when abnormal neurological signs and symptoms were observed.
Conclusion
The clinical features of pediatric patients vary by age group. Clinicians should consider red flag signs in the context of patient age and individual characteristics.
5.Painful Chronic Expanding Hematoma of the Transtibial Amputation Stump
Son Mi LEE ; Donghyun SHIN ; Jongkyu KIM
Clinical Pain 2023;22(1):48-51
Chronic expanding hematoma (CEH) is a hematoma that increases in size, usually occurring after trauma or surgery, more than a month after initial bleeding. Thighs and upper limbs are the most common sites of CEH. Only a few cases of CEH have been reported in the amputation stump site since CEH itself is a rare disease.We experienced a case of a 59-year-old man who underwent transtibial amputation and suffered from recurrent non-infectious hematoma. For the treatment of CEH, the patient underwent an open bursectomy, followed by bony spur removal surgery. However, CEH recurred, and the pain was only managed by intermittent aspiration and compression. We report a long journey of managing painful CEH of the transtibial amputation stump.
6.Comparative Validation of the Mixed and Permanent Dentition at Web-Based Artificial Intelligence Cephalometric Analysis
Journal of Korean Academy of Pediatric Dentistry 2022;49(1):85-94
This retrospective study aimed to evaluate the difference in measurement between conventional orthodontic analysis and artificial intelligence orthodontic analysis in pediatric and adolescent patients aged 7 - 15 with the mixed and permanent dentition.A total of 60 pediatric and adolescent patients (30 mixed dentition, 30 permanent dentition) who underwent lateral cephalometric radiograph for orthodontic diagnosis were randomly selected. Seventeen cephalometric landmarks were identified, and 22 measurements were calculated by 1 examiner, using both conventional analysis method and deep learning-based analysis method. Errors due to repeated measurements were assessed by Pearson’s correlation coefficient. For the mixed dentition group and the permanent dentition group, respectively, a paired t-test was used to evaluate the difference between the 2 methods.The difference between the 2 methods for 8 measurements were statistically significant in mixed dentition group: APDI, SNA, SNB, Mandibular plane angle, LAFH (p < 0.001), Facial ratio (p = 0.001), U1 to SN (p = 0.012), and U1 to A-Pg (p = 0.021). In the permanent dentition group, 4 measurements showed a statistically significant difference between the 2 methods: ODI (p = 0.020), Wits appraisal (p = 0.025), Facial ratio (p = 0.026), and U1 to A-Pg (p = 0.001).Compared with the time-consuming conventional orthodontic analysis, the deep learning-based cephalometric system can be clinically acceptable in terms of reliability and validity. However, it is essential to understand the limitations of the deep learning-based programs for orthodontic analysis of pediatric and adolescent patients and use these programs with the proper assessment.
7.Isolated Intracranial Rosai–Dorfman Disease Mimicking Meningioma: A Case Report
Minji SHIN ; Young Jin HEO ; Donghyun KIM ; Hae Woong JEONG ; Jin Wook BAEK ; Ha Young PARK
Journal of the Korean Radiological Society 2022;83(3):719-723
Rosai–Dorfman Disease (RDD) is a rare lymphoproliferative disease, and the occurrence of isolated intracranial RDD is extremely rare. Most cases of intracranial RDDs present as dural masses showing homogenous enhancement on MRI, which makes it difficult to differentiate these masses from meningiomas before surgery unless massive cervical lymphadenopathy is observed. We herein report a rare case of isolated intracranial RDD in a 65-year-old male. Brain MRI revealed a well-defined enhancing mass-like lesion involving the right frontal convexity and subtle diffusion restriction. However, only a subtle blush was observed on the preoperative cerebral angiogram. Although instances of isolated intracranial RDD are rare, it should be considered as a potential differential diagnosis when a dural mass with hypovascularity is visualized on the cerebral angiogram.
8.Methodology and Rationale for Ophthalmic Examinations in the Seventh and Eighth Korea National Health and Nutrition Examination Surveys (2017–2021)
Su Jeong SONG ; Kyung Seek CHOI ; Jong Chul HAN ; Donghyun JEE ; Jin Wook JEOUNG ; Young Joon JO ; Jae Yong KIM ; Ko Eun KIM ; Seong Taeck KIM ; Ji Woong LEE ; Tae Eun LEE ; Dong Hui LIM ; Chan Yun KIM ; Hyun Woong KIM ; Sang Woo PARK ; Ki Ho PARK ; Sang Jun PARK ; Min SAGONG ; Jae Pil SHIN ; Chungkwon YOO ; Yoonjung KIM ; Kyungwon OH ; Kyu Hyung PARK
Korean Journal of Ophthalmology 2021;35(4):295-303
This report provides a detailed description of the methodology for ophthalmic examinations according to the Korea National Health and Nutrition Examination Survey (KNHANES) VII and VIII (from 2017 to 2021). The KNHANES is a nationwide survey which has been performed since 1998 in representatives of whole Korean population. During the KNHANES VII and VIII, in addition to the ophthalmic questionnaire, intraocular pressure measurement, visual field test, auto refractometry, axial length and optical coherence tomography measurements were included. This new survey will provide not only provide normative and pathologic ophthalmic data including intraocular pressure, refractive error, axial length, visual field and precise measurement of anterior segment, macula and optic nerve with optical coherence tomography, but also a more accurate diagnosis for major adult blindness diseases, including age-related macular degeneration, diabetic retinopathy, glaucoma, and other ocular diseases, for the national Korean population.
9.Methodology and Rationale for Ophthalmic Examinations in the Seventh and Eighth Korea National Health and Nutrition Examination Surveys (2017–2021)
Su Jeong SONG ; Kyung Seek CHOI ; Jong Chul HAN ; Donghyun JEE ; Jin Wook JEOUNG ; Young Joon JO ; Jae Yong KIM ; Ko Eun KIM ; Seong Taeck KIM ; Ji Woong LEE ; Tae Eun LEE ; Dong Hui LIM ; Chan Yun KIM ; Hyun Woong KIM ; Sang Woo PARK ; Ki Ho PARK ; Sang Jun PARK ; Min SAGONG ; Jae Pil SHIN ; Chungkwon YOO ; Yoonjung KIM ; Kyungwon OH ; Kyu Hyung PARK
Korean Journal of Ophthalmology 2021;35(4):295-303
This report provides a detailed description of the methodology for ophthalmic examinations according to the Korea National Health and Nutrition Examination Survey (KNHANES) VII and VIII (from 2017 to 2021). The KNHANES is a nationwide survey which has been performed since 1998 in representatives of whole Korean population. During the KNHANES VII and VIII, in addition to the ophthalmic questionnaire, intraocular pressure measurement, visual field test, auto refractometry, axial length and optical coherence tomography measurements were included. This new survey will provide not only provide normative and pathologic ophthalmic data including intraocular pressure, refractive error, axial length, visual field and precise measurement of anterior segment, macula and optic nerve with optical coherence tomography, but also a more accurate diagnosis for major adult blindness diseases, including age-related macular degeneration, diabetic retinopathy, glaucoma, and other ocular diseases, for the national Korean population.
10.CORM-2-entrapped ultradeformable liposomes ameliorate acute skin inflammation in an ear edema model
Gwan-Yeong LEE ; Alam ZEB ; Eun-Hye KIM ; Beomseon SUH ; Young-Jun SHIN ; Donghyun KIM ; Kyoung-Won KIM ; Yeong-Hwan CHOE ; Ho-Ik CHOI ; Cheol-Ho LEE ; Omer Salman QURESHI ; In-Bo HAN ; Sun-Young CHANG ; Ok-Nam BAE ; Jin-Ki KIM
Acta Pharmaceutica Sinica B 2020;10(12):2362-2373
The short release half-life of carbon monoxide (CO) is a major obstacle to the effective therapeutic use of carbon monoxide-releasing molecule-2 (CORM-2). The potential of CORM-2-entrapped ultradeformable liposomes (CORM-2-UDLs) to enhance the release half-life of CO and alleviate skin inflammation was investigated in the present study. CORM-2-UDLs were prepared by using soy phosphatidylcholine to form lipid bilayers and Tween 80 as an edge activator. The deformability of CORM-2-UDLs was measured and compared with that of conventional liposomes by passing formulations through a filter device at a constant pressure. The release profile of CO from CORM-2-UDLs was evaluated by myoglobin assay.

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