Publications by authors named "Sung Ho Cho"

Human posture recognition has a wide range of applicability in the detective and preventive healthcare industry. Recognizing posture through frequency-modulated continuous wave (FMCW) radar poses a significant challenge as the human subject is static. Unlike existing radar-based studies, this study proposes a novel framework to extract the postures of two humans in close proximity using FMCW radar point cloud.

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Mental distress-induced imbalances in autonomic nervous system activities adversely affect the electrical stability of the cardiac system, with heart rate variability (HRV) identified as a related indicator. Traditional HRV measurements use electrocardiography (ECG), but impulse radio ultra-wideband (IR-UWB) radar has shown potential in HRV measurement, although it is rarely applied to psychological studies. This study aimed to assess early high levels of mental distress using HRV indices obtained using radar through modified signal processing tailored to reduce phase noise and improve positional accuracy.

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Branchio-oto-renal (BOR) and branchio-otic (BO) syndromes are characterized by anomalies affecting the ears, often accompanied by hearing loss, as well as abnormalities in the branchial arches and renal system. These syndromes exhibit a broad spectrum of phenotypes and a complex genomic landscape, with significant contributions from the gene and the gene family, including and . Due to their diverse phenotypic presentations, which can overlap with other genetic syndromes, molecular genetic confirmation is essential.

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In this study, we propose a deep learning-based nystagmus detection algorithm using video oculography (VOG) data to diagnose benign paroxysmal positional vertigo (BPPV). Various deep learning architectures were utilized to develop and evaluate nystagmus detection models. Among the four deep learning architectures used in this study, the CNN1D model proposed as a nystagmus detection model demonstrated the best performance, exhibiting a sensitivity of 94.

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Semi-infinite single-atom-thick graphene is an ideal reinforcing material that can simultaneously improve the mechanical, electrical, and thermal properties of matrix. Here, we present a float-stacking strategy to accurately align the monolayer graphene reinforcement in polymer matrix. We float graphene-poly(methylmethacrylate) (PMMA) membrane (GPM) at the water-air interface, and wind-up layer-by-layer by roller.

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Recently, radar sensors have been extensively used for vital sign monitoring in dogs, owing to their noncontact and noninvasive nature. However, a public dataset on dog vital signs has yet to be proposed since capturing data from dogs requires special training and approval. This work presents the first ever ultra wideband radar-based dog vital sign (UWB-DVS) dataset, which was captured in two independent scenarios.

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Article Synopsis
  • * The study reviewed 338 cases to identify new TMC1 variants and used structural modeling to understand their effects on the protein's function and interaction with membranes.
  • * Two novel variants (p.Phe419Ser and p.Trp482Arg) were linked to DFNA36, showing that they negatively impact the protein's stability and interactions in the lipid bilayer, leading to moderate, progressive hearing loss in affected individuals.
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Article Synopsis
  • In the context of the COVID-19 pandemic, researchers explored the use of a non-contact IR-UWB radar sensor as an innovative tool for early detection of developmental delays in infants, especially those with conditions like hydrocephalus.
  • The study found that the radar measurements of infant movements correlated well with traditional methods (actigraphy and video recordings), indicating its potential reliability as a screening method.
  • Results showed that after treatment for hydrocephalus, the movement patterns detected by the radar became more balanced, suggesting it could effectively monitor and predict motor disorders in young infants.
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Hemispherical image sensors simplify lens designs, reduce optical aberrations, and improve image resolution for compact wide-field-of-view cameras. To achieve hemispherical image sensors, organic materials are promising candidates due to the following advantages: tunability of optoelectronic/spectral response and low-temperature low-cost processes. Here, a photolithographic process is developed to prepare a hemispherical image sensor array using organic thin film photomemory transistors with a density of 308 pixels per square centimeter.

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Short-range millimeter wave radar sensors provide a reliable, continuous and non-contact solution for vital sign extraction. Off-The-Shelf (OTS) radars often have a directional antenna (beam) pattern. The transmitted wave has a conical main lobe, and power of the received target echoes deteriorate as we move away from the center point of the lobe.

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  • Physical fatigue can be evaluated through heart rate variability (HRV), and this study measured HRV using both impulse-radio ultra wideband (IR-UWB) radar and electrocardiography (ECG) to compare their reliability.
  • The HRV was recorded in 15 subjects at rest and after a 20-minute exercise, with various fatigue levels monitored, and findings showed a strong agreement between radar and ECG measurements of the LF/HF ratio.
  • Additionally, the study found a strong correlation between body fat percentage and recovery time from physical fatigue, indicating that noncontact radar can accurately distinguish between fatigue and rest states based on HRV.
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Anthropometric profiles are important indices for assessing medical conditions, including malnutrition, obesity, and growth disorders. Noncontact methods for estimating those parameters could have considerable value in many practical situations, such as the assessment of young, uncooperative infants or children and the prevention of infectious disease transmission. The purpose of this study was to investigate the feasibility of obtaining noncontact anthropometric measurements using the impulse-radio ultrawideband (IR-UWB) radar sensor technique.

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In this study, the impacts of different ultrasonic treatments on TiO particles were determined and they were used to manufacture the photoelectrodes of a dye-sensitized solar cell (DSSC). Two methods were used to prepare TiO particles directly sonicated by an ultrasonic horn, and TiO treated indirectly by an ultrasonic cleaner. TEM, XPS analysis was confirmed that cavitation bubbles generated during ultrasonication resulted in defects on the surface of TiO particles, and the defect induced surface activation.

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The gold standard for sleep monitoring, polysomnography (PSG), is too obtrusive and limited for practical use with tiny infants or in neonatal intensive care unit (NICU) settings. The ability of impulse-radio ultrawideband (IR-UWB) radar, a non-contact sensing technology, to assess vital signs and fine movement asymmetry in neonates was recently demonstrated. The purpose of this study was to investigate the possibility of quantitatively distinguishing and measuring sleep/wake states in neonates using IR-UWB radar and to compare its accuracy with behavioral observation-based sleep/wake analyses using video recordings.

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Recently, noncontact vital sign monitors have attracted attention because of issues related to the transmission of contagious diseases. We developed a real-time vital sign monitor using impulse-radio ultrawideband (IR-UWB) radar with embedded processors and software; we then evaluated its accuracy in measuring heart rate (HR) and respiratory rate (RR) and investigated the factors affecting the accuracy of the radar-based measurements. In 50 patients visiting a cardiology clinic, HR and RR were measured using IR-UWB radar simultaneously with electrocardiography and capnometry.

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The development of a 3D-Printed Load Cell (PLC) was studied using a nanocarbon composite strain sensor (NCSS) and a 3D printing process. The miniature load cell was fabricated using a low-cost LCD-based 3D printer with UV resin. The NCSS composed of 0.

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Research on the quantification of hyperactivity in youth with attention-deficit/hyperactivity disorder (ADHD) has been limited and inconsistent. The purpose of this study was to test the discriminative value of impulse-radio ultra-wideband (IR-UWB) radar for monitoring hyperactive individuals with ADHD and healthy controls (HCs). A total of 10 ADHD patients and 15 HCs underwent hyperactivity assessment using IR-UWB radar during a 22-min continuous performance test.

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In the past few decades, deep learning algorithms have become more prevalent for signal detection and classification. To design machine learning algorithms, however, an adequate dataset is required. Motivated by the existence of several open-source camera-based hand gesture datasets, this descriptor presents UWB-Gestures, the first public dataset of twelve dynamic hand gestures acquired with ultra-wideband (UWB) impulse radars.

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Article Synopsis
  • - The paper discusses the advancements in short-range radar systems that can non-invasively monitor human vital signs, highlighting their potential for use in remote healthcare and smart sensor applications.
  • - A new dataset containing radar-recorded vital signs for 50 children under 13 is introduced, alongside a clinically-approved sensor used for reliable comparisons.
  • - The research proposes a child age-group classification system using the GoogLeNet framework, aimed at enhancing child safety in smart vehicles by predicting the age of unknown individuals based on radar data.
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Background: Current cardiorespiratory monitoring equipment can cause injuries and infections in neonates with fragile skin. Impulse-radio ultra-wideband (IR-UWB) radar was recently demonstrated to be an effective contactless vital sign monitor in adults. The purpose of this study was to assess heart rates (HRs) and respiratory rates (RRs) in the neonatal intensive care unit (NICU) using IR-UWB radar and to evaluate its accuracy and reliability compared to conventional electrocardiography (ECG)/impedance pneumography (IPG).

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In this paper, we compare the performances of impulse radio ultra-wideband (IR-UWB) and frequency modulation continuous wave (FMCW) radars in measuring noncontact vital signs such as respiration rate and heart rate. These two type radars have been widely used in various fields and have shown their applicability to extract vital signs in noncontact ways. IR-UWB radar can extract vital signs using distance information.

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Synopsis of recent research by authors named "Sung Ho Cho"

  • - Sung Ho Cho's recent research focuses on the innovative application of impulse radio ultra-wideband (IR-UWB) radar technology in medical assessments, particularly for psychological and physiological health, demonstrating its capability to measure heart rate variability and monitor vital signs noninvasively.
  • - The author has explored significant genetic aspects of developmental and auditory conditions, including the analysis of novel TMC1 variants linked to hearing loss and the genomic landscape of Branchio-Oto-Renal syndrome, underscoring the importance of genetic confirmation for diverse phenotypic presentations.
  • - Additionally, Cho's work includes the development of advanced diagnostic tools using deep learning algorithms for detecting nystagmus, contributing to the diagnostic accuracy of benign paroxysmal positional vertigo (BPPV), as well as assessing movement asymmetry in infants as a means for early developmental delay screening.