Article
Chemistry, Analytical
Koshiro Haruyama, Michiyuki Kawakami, Kohsuke Okada, Kohei Okuyama, Keita Tsuzuki, Meigen Liu
Summary: The study aimed to investigate the differences in gait characteristics between stroke patients and healthy controls using a newly defined distance in the lower limb. Results showed that stroke patients exhibited less shortening of the pelvis-toe distance on the affected side and excessive shortening on the non-affected side compared to controls. Additionally, PTDmin in stroke patients was found to have moderate to high correlations with gait speed and observational gait scale.
Article
Biology
Jie Wang, Lei Qiao, Long Yu, Yanmin Wang, Redha Taiar, Ying Zhang, Weijie Fu
Summary: Customized insoles have a significant positive impact on gait performance in stroke patients, enhancing their walking ability effectively.
Article
Rehabilitation
Kazuhiro Tsuchiyama, Masahiko Mukaino, Kei Ohtsuka, Fumihiro Matsuda, Hiroki Tanikawa, Junya Yamada, Kannit Pongpipatpaiboon, Yoshikiyo Kanada, Eiichi Saitoh, Yohei Otaka
Summary: This study investigated the effects of ankle-foot orthoses on post-stroke gait stability. The results showed that ankle-foot orthoses improved gait stability indices, but may have either non-significant or possibly negative effects in patients with mild ankle impairment. However, the effect on toe clearance was significant.
EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE
(2022)
Article
Engineering, Biomedical
Julio Salvador Lora-Millan, Francisco Jose Sanchez-Cuesta, Juan Pablo Romero, Juan C. Moreno, Eduardo Rocon
Summary: This study introduces the design and validation of the REFLEX prototype, a knee-ankle-foot orthosis designed to assist the paretic limbs of hemiparetic patients during gait. The preliminary results showed that assisting the paretic leg can reduce compensatory mechanisms developed by the nonparetic leg.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Engineering, Biomedical
T. Scone, M. Saadat, H. Barton, A. Rastegarpanah
Summary: This pilot study utilized the Linear Fit Method to compare the gait of stroke survivors with a healthy baseline in terms of walking speed. The results showed significant linear relationships between walking speed and the variations in the hemiparetic gait pattern. As walking speed increased, certain aspects of the gait pattern became more similar to the healthy comparison, while others remained different. These findings demonstrate how joint kinematics can be used to identify and quantify effective compensatory hemiparetic gait patterns.
Article
Engineering, Multidisciplinary
Jingyu Kang, Tao Liu, Yao Lu, Linlin Lu, Kai Dong, Shujuan Wang, Bo Li, Ying Yao, Yuan Bai, Wei Fan
Summary: This paper presents a piezoelectric yarn sensor based on electrospinning and 2D braiding technology for real-time online monitoring of advanced 3D textile composites. The sensor demonstrates long-term, low-frequency, high-frequency, and stable monitoring capabilities, making it a promising tool for damage monitoring in composites.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Medicine, General & Internal
Wonjun Oh, Chanhee Park, Seungjun Oh, Sung (Joshua) H. You
Summary: The study demonstrates that robotic-assisted gait training can improve sensorimotor function, balance, trunk stability, and walking distance in subacute stroke patients. Regardless of initial functional ambulation category, RAGT maximizes improvements in FMA, BBS, TIS, and other functional scores during neurorehabilitation.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Engineering, Biomedical
Yi-Tsen Pan, Inseung Kang, James Joh, Patrick Kim, Kinsey R. Herrin, Trisha M. Kesar, Gregory S. Sawicki, Aaron J. Young
Summary: Powered assistance from hip exoskeletons is an effective means to increase walking speed post-stroke, and tuning the balance of assistance between the non-paretic and paretic limbs (i.e., a bilateral strategy) may be the most effective way to maximize performance gains.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Hyung Suk Yang, C. Roger James, Lee T. Atkins, Steven F. Sawyer, Phillip S. Sizer, Neeraj A. Kumar, Nathan E. Burgess, Jongyeol Kim
Summary: This study examines the potential benefits of using arm weight intervention to improve gait performance in stroke survivors. The findings suggest that adding arm weight can increase the gait speed and step length of stroke patients, indicating it as a potential rehabilitation intervention for this population.
CLINICAL BIOMECHANICS
(2023)
Article
Chemistry, Multidisciplinary
Takuya Hosokai, Junichi Nomoto
Summary: This article explores a real-time monitoring technique for laser-induced functionalization of transparent conductive oxide films. Two types of monitoring apparatus, electrical and optical, were developed and applied to different types of films. The study suggests that monitoring the changes in optical properties in the near-infrared region is more suitable.
Article
Chemistry, Analytical
Antoine Poirot, Nacera Bedrici, Jean-Christophe Walrick, Michel Arrigoni
Summary: The aim of this paper is to study the potential use of flexible materials with piezoresistive property for structural health monitoring (SHM) and low-energy impact detection. The study shows the relationship between the electrical resistance and strain rate of a conductive foam filled with activated carbon. In addition, a demonstrative experiment is conducted to show the feasibility of using piezoresistive foam for SHM in a composite sandwich structure.
Article
Engineering, Electrical & Electronic
Sumit Majumder, M. Jamal Deen
Summary: Advancements in micro-electromechanical systems technology have led to the development of miniature, low-power, and high-performance inertial motion sensors that are widely used in smart gadgets. These sensors have the potential to enable efficient home-based health monitoring, especially in the continuous monitoring of lower-limb joints on wearable platforms for tele-rehabilitation of patients with motor impairments. The proposed sensor fusion algorithm successfully estimates lower-limb joint angles in real-time, demonstrating robustness against external acceleration and magnetic disturbances.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Nguyen Ngan Giang, Seul Gi Kim, Insik In, Sung Young Park
Summary: In situ wireless monitoring of cell proliferation and detachment kinetics was conducted using pH-responsive zwitterionic polymer dots (Z-PDs), which demonstrated high sensitivity and potent means for monitoring and manipulating cell adhesion and detachment under various pH conditions. Z-PD-coated substrates promoted cell proliferation at neutral pH through pi-pi stacking of aromatic rings, while inducing cell detachment under acidic and basic conditions, resulting in enhanced resistance. Overall, Z-PD biosensors proved to be a favorable approach for monitoring cell-surface interactions, offering excellent pH responsiveness and the ability to acquire electrochemical signals via a smartphone.
ANALYTICAL CHEMISTRY
(2021)
Review
Engineering, Biomedical
Shannon B. Lim, Dennis R. Louie, Sue Peters, Teresa Liu-Ambrose, Lara A. Boyd, Janice J. Eng
Summary: Investigations into real-time brain activations during walking post-stroke have shown differences in brain activation compared to healthy individuals, with different components of gait leading to different brain activations. Asymmetrical activations during gait were closely related to performance asymmetry, while hyperactivations often decreased with walking interventions and improved walking performance.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Engineering, Biomedical
Mohammad Shushtari, Hannah Dinovitzer, Jiacheng Weng, Arash Arami
Summary: An ultra-robust accurate gait phase estimator, trained on data from hip and knee joint angles of 14 participants, was developed to estimate gait phases during treadmill and overground walking. The estimator showed uniform spatial and temporal performance across participants and gait conditions, and demonstrated robustness to various walking conditions and interactions with an exoskeleton.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Health Care Sciences & Services
Byung-Moon Choi, Ji Yeon Yim, Hangsik Shin, Gyujeong Noh
Summary: This study developed a new analgesic index using PPG spectrograms and a CNN to objectively assess postoperative pain in conscious patients. The index showed high sensitivity and specificity in detecting pain, confirming its efficiency in detecting postoperative pain in conscious patients. Further research is needed to assess the feasibility of the index in different populations and to prevent overfitting.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Physiology
Byung-Moon Choi, Hangsik Shin, Joo-Hyun Lee, Ji-Yeon Bang, Eun-Kyung Lee, Gyu-Jeong Noh
Summary: The clinical performance of the SPI and ANI in conscious healthy volunteers and parturients was evaluated in this study, with results indicating that both indices were effective for detecting pain in these populations.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Chemistry, Analytical
Donggeun Roh, Hangsik Shin
Summary: This study successfully developed a machine learning model that accurately evaluates the quality of a photoplethysmogram. Through data expansion, it achieved high accuracy in signal quality assessment without requiring complicated pre-processing or feature detection.
Article
Computer Science, Information Systems
Hangsik Shin
Summary: This study explores a vascular aging assessment model based on photoplethysmogram (PPG) features and confirms the importance of specific PPG features using explainable artificial intelligence. The developed XGBoost regression model shows comparable performance to existing PPG-based models in estimating age.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Biology
Hangsik Shin
Summary: A deep neural network-based signal quality assessment model for photoplethysmogram (PPG) was developed and optimized to achieve high accuracy in distinguishing waveform quality, with potential application in wearable healthcare.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Chemistry, Analytical
Hangsik Shin
Summary: The study successfully distinguished between hemiplegic and normal gaits using a convolutional neural network with signal measured by a sensor freely located in the pocket, avoiding additional preprocessing steps. The model demonstrated high accuracy, precision, and recall in a clinical trial.
Article
Geriatrics & Gerontology
Julius Opwonya, Changwon Wang, Kyoung-Mi Jang, Kunho Lee, Joong Il Kim, Jaeuk U. Kim
Summary: This study investigated executive control deficits and saccade behavioral changes in patients with MCI using comprehensive neuropsychological assessment and interleaved saccade paradigms. The results demonstrate that patients with MCI have impairments in inhibitory control and error monitoring, and the saccade paradigms have clinical potential as a screening tool for MCI.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Review
Physiology
Junyung Park, Hyeon Seok Seok, Sang-Su Kim, Hangsik Shin
Summary: This review examines the use of photoplethysmogram (PPG) in clinical and daily life settings, focusing on its generation mechanisms, measurement principles, clinical applications, noise definition, pre-processing techniques, feature detection techniques, and post-processing techniques. The study finds that the application field of PPG is expanding from clinical to mobile environments, and machine learning-based methods hold promise for future solutions.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Medical Informatics
Junyung Park, Hangsik Shin
Summary: This study discovered highly correlated features from the incident and reflected waves decomposed from a photoplethysmogram waveform and developed an artificial neural network-based regression model for the assessment of vascular aging. The results showed that the features defined from the reflected wave and skewness of the photoplethysmogram were useful for assessing vascular aging, and the regression model using these features had a strong correlation with the participant's real age.
JMIR MEDICAL INFORMATICS
(2022)
Article
Medicine, General & Internal
Sungyeup Kim, Beanbonyka Rim, Seongjun Choi, Ahyoung Lee, Sedong Min, Min Hong
Summary: This paper proposes a deep learning method with transfer learning to classify lung diseases on chest X-ray images, aiming to improve the efficiency and accuracy of computer-aided diagnostic systems. The experiments on different datasets have achieved promising results in terms of the accuracy and specificity of disease classification.
Article
Multidisciplinary Sciences
Hangsik Shin, Gyujeong Noh, Byung-Moon Choi
Summary: In this study, a deep learning-based model was developed for non-invasive assessment of vascular age using photoplethysmogram (PPG). The model showed good performance, and the contribution of PPG waveform to vascular age estimation was analyzed using Grad-Cam.
SCIENTIFIC REPORTS
(2022)
Article
Psychology, Biological
Hangsik Shin
Summary: This study evaluated the feasibility of continuous pulse transit time (CPTT) as a non-invasive method for continuous blood pressure estimation. The results showed that CPTT-based blood pressure estimation had good correlations and small root-mean-squared-error, indicating its potential as a non-invasive continuous blood pressure monitoring method.
Article
Chemistry, Analytical
Jong-Gab Ho, Young Kim, Se-Dong Min
Summary: In this study, a lightweight insole-type textile capacitive sensor was developed to analyze plantar pressure distribution and center of pressure trajectory. The results showed that the sensor was capable of accurately identifying pressure segments at different gait speeds, and it exhibited similar accuracy and consistency compared to the traditional F-scan sensor. These findings provide a basis for future research in rehabilitation engineering and the development of smart devices.
Article
Health Care Sciences & Services
Changwon Wang, Chungkeun Lee, Hangsik Shin
Summary: As a new therapeutic technique based on digital technology, the commercialization and clinical application of digital therapeutics (DTx) are increasing. However, the lack of consensus on a definition, insufficiencies in research and development, clinical trials, standardization of regulatory frameworks, and technological maturity have made the use of DTx as a general medical component ambiguous. This study investigates definitions, clinical trials, commercial products, and regulatory status related to DTx and suggests the necessity and considerations for international agreements on the definition and characteristics of DTx, focusing on commercialization characteristics.
NPJ DIGITAL MEDICINE
(2023)
Article
Computer Science, Information Systems
Oh-Seok Kwon, Jisu Lee, Je-Wook Park, So-Hyun Yang, Inseok Hwang, Hee Tae Yu, Hangsik Shin, Hui-Nam Pak
Summary: This study proposes a novel algorithm for automated three-dimensional cardiac wall thickness measurement, including automated boundary detection and solving geometric problems. The results of the verification experiments demonstrate the potential of the algorithm in terms of measurement accuracy and efficiency.
