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SSRN 2023年

作者： Choi, Heesun Quagliato, Luca Chung, Yoon-Sok Lee, Taeyong Division of Mechanical and Biomedical Engineering Ewha Womans University Seoul03760 Korea Republic of Division of Mechanical and Biomedical Engineering Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of Department of Endocrinology and Metabolism Ajou University School of Medicine Suwon16499 Korea Republic of

Background and Objectives: Bone fracture risk assessment for osteopenia and osteoporotic patients is essential for the adoption of early countermeasures and avoiding discomfort and hospitalization. Currently employed methodologies, such as FRAX®, provides a risk assessment over a five to ten years period without showing the main variables influencing the prediction nor how they can be targeted in the short term. Thus, a lesser black-box approach where the fracture risk can be assessed in real-time from a commonly employed analysis, id est the dual-energy X-ray absorptiometry (2D-DXA), would be of help to clinicians and patients alike. Accordingly, this study presents three real-time machine learning (ML) assessment models, with distinct complexity, architectures, and performances, capable of predicting a binary fracture risk based on a femur head-hip joint 2D-DXA scan. Methods: A ~10,000 adult Korean gathered between 2017 and 2021 and composed of ~90% female and ~10% male ranging from 50 to 99 years of age was considered. 10% of the data is relevant to subjects who experienced skeletal fractures, among which 245 cases are femur fractures. The 2D-DXA analyses of the femur head-hip joint region carried out on patients allowed collecting 23 parameters, including the patient’s age, BMI, and gender, associated with one binary variable, defined in terms of non-fracture (NFX) or fracture (FX), to be employed as the training dataset for the three ML models employed and optimized in this research. The 2D-DXA results’ database (DB) was employed to train three ML classifiers with a binary (NFX/FX) output layer, namely the Extreme Gradient Boosting (XGB), the K-Nearest Neighbor (KNN), and Deep Neural Network (DNN). To avoid overfitting due to the higher number of NFX data with respect to FX one, two features augmentation techniques based on the Synthetic Minority Over-sampling Technique (SMOTE) and Oversample using Adaptive Synthetic (ADASYN) oversamplers were employed. For all

关键词： Fracture

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Design and Evaluation of an Immersive Virtual Reality Game for the Treatment of Attention Deficit and Hiperactivity Disorder in Adults

SSRN

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SSRN 2023年

作者： Alvarez-Suarez, Ana Caldas, Oscar I. Biomedical Engineering Program Faculty of Engineering Universidad Militar Nueva Granada Km 2 Via Cajica-Zipaquira Cajica250247 Colombia

Attention deficit hyperactivity disorder (ADHD) is one of the most common psychological pathologies worldwide. Despite mostly occurring in childhood, it could lead to difficulties in adults, mainly on social relations, personal life and performance in work or *** present, novel technological approaches, such as interactive tools in mixed and virtual reality (VR), have proven to enhance the traditional therapies to reduce the observation dependency and subjectivity. However, usage is still not widespread due to higher costs, field implementation difficulties (e.g., electroencephalography or electrooculography), or being only pediatric-oriented. Therefore, the following research aimed to design and evaluate an immersive Virtual Reality game based on the psychological evaluation of the Continuous Performance Test (CPT) to quantify and supervise the ADHD symptoms, and test any *** game design methodology, measuring techniques and data analysis are presented. A controlled experiment was carried out with 37 participants randomly assigned to two immersion groups: a VR version developed in Unity vs Real version of a custom-made table tennis game, designed to assess nine ADHD-related symptom indicators. All participants performed the activity three times (once per week) to test the individual effect of time and its interaction with the level of immersion. Results suggested greater impulsivity and cognitive flexibility when performing the therapy in VR than in real table tennis, whereas no significant differences were found between the three weekly sessions. © 2023, The Authors. All rights reserved.

关键词： Virtual reality

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Rapid Escherichia coli Cloned DNA Detection in Serum Using an Electrical Double Layer-Gated Field-Effect Transistor-Based DNA Sensor

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Analytical Chemistry 2023年第17期95卷 6871-6878页

作者： Paulose, Akhil K. Hou, Yueh-Ju Huang, Yu-Shan Chakkalaparambil Dileep, Navyamol Chiu, Chia-Lin Pal, Arnab Kalaimani, Vishal Mani Lin, Zong-Hong Chang, Chuang-Rung Chen, Cheng-Pin Lin, Yi-Chun Cheng, Chien-Yu Cheng, Shu-Hsing Cheng, Chao-Min Wang, Yu-Lin Institute of Nanoengineering and Microsystems National Tsing Hua University Hsinchu30013 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu30013 Taiwan College of Semiconductor Research National Tsing Hua University Hsinchu30013 Taiwan Department of Life Sciences National University of Kaohsiung Kaohsiung811726 Taiwan Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan Institute of Biotechnology National Tsing Hua University Hsinchu30013 Taiwan Department of Infectious Diseases Taoyuan General Hospital Ministry of Health and Welfare Taoyuan32748 Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu30013 Taiwan International Intercollegiate PhD Program National Tsing Hua University Hsinchu30013 Taiwan

In this study, a rapid diagnosis platform was developed for the detection of Escherichia coli O157:H7. An electrical double layer (EDL)-gated field-effect transistor-based biosensor (BioFET) as a point-of-care testing device is demonstrated with its high sensitivity, portability, high selectivity, quick response, and ease of use. The specially designed ssDNA probe was immobilized on the extended gate electrode to bind the target complementary DNA segment of E. coli, resulting in a sharp drain current change within minutes. The limit of detection for target DNA is validated to a concentration of 1 fM in buffer solution and serum. Meanwhile, the results of a Kelvin probe force microscope were shown to have reduced surface potential of the DNA immobilized sensors before and after the cDNA detection, which is consistent with the decreased drain current of the BioFET. A 1.2 kb E. coli duplex DNA synthesized in plasmid was sonicated and detected in serum samples with the sensor array. Gel electrophoresis was used to confirm the efficiency of sonication by elucidating the length of DNA. Those results show that the EDL-gated BioFET system is a promising platform for rapid identification of pathogens for future clinical needs. © 2023 American Chemical Society

关键词： DNA

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Computerized Classification Method for Molecular Subtypes in Glioma with Multi-Scale 3D-Attention Branch Networks Analyzing Multi-Sequence Brain MRI Images

IEEJ Transactions on Electronics, Information and Systems

引用

IEEJ Transactions on Electronics, Information and Systems 2023年第5期143卷 539-545页

作者： Tanaka, Daiki Hizukuri, Akiyoshi Nakayama, Ryohei Kusuda, Kaori Masamune, Ken Muragaki, Yoshihiro Graduate School of Science and Engineering Ritsumeikan University 1-1-1 Nojihigashi Kusatsu Shiga525-8577 Japan Division of Healthcare Informatics Tokyo Healthcare Universtiy 3-11-3 Setagaya Setagaya-ku Tokyo154-8568 Japan Faculty of Advanced Techno-Surgery Institute of Advanced Biomedical Engineering and Science Tokyo Women’s Medical University 8-1 Kawada-cho Shinjuku-ku Tokyo162-8666 Japan

The purpose of this study was to develop a computerized classification method for molecular subtypes in low-grade gliomas (LGGs) with multi-scale 3D-attention branch networks analyzing multi-sequence brain MRI images. Our dataset consisted of brain T1-weighted and T2-weighted MRI images for 217 patients (58 Astrocytoma IDH-mutant, 49 Astrocytoma IDH-wildtype, and 110 Oligodendroglioma). The proposed method was constructed from a feature extractor, an attention branch, and a perception branch. In the feature extractor, the feature maps were extracted from brain T1-weighted and T2-weighted MRI images, respectively. The attention branch focused on a tumor region and generated the attention maps normalized to 0.0 – 1.0. The feature maps were then multiplied by the attention maps to weight features on LGG in the feature maps. The molecular subtype in LGG was evaluated in the perception branch. The classification accuracy for the proposed method was 63.6%, showing an improvement when compared with the conventional method using only single sequence (T2-weighted) MRI images (59.9%). © 2023 The Institute of Electrical Engineers of Japan.

关键词： Tumors

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Comparison of Precision Grasping Performance between Artificial Fingers With and Without Nails 4

Comparison of Precision Grasping Performance between Artific...

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4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022

作者： Kumagai, Ayane Obata, Yoshinobu Yabuki, Yoshiko Jiang, Yinlai Yokoi, Hiroshi Togo, Shunta The University of Electro-Communications Graduate School of Informatics and Engineering Department of Mechanical and Intelligent System Engineering Tokyo Japan The University of Electro-Communications Center for Neuroscience and Biomedical Engineering Tokyo Japan Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing China

ISBN: (纸本)9781665419048

In this study, we investigated the effect of the presence or absence of fingernails on precision grasping using artificial anthropomimetic fingers. We hypothesized that fingernails improve precision grasping performance by increasing the friction coefficient while suppressing fingertip deformation. To test our hypothesis, we developed artificial fingertips, each composed of bone, nail, skin, and soft tissue, and fabricated three types of artificial fingers with different skin softness grades and artificial fingers without nails as the control condition. Pull-out experiments of cylindrical objects and T-shaped blocks were conducted using the developed artificial fingertips with and without nails, and the pull-out resistance forces were compared. The nail contributed to object grasping stability because the pull-out resistance force was significantly increased by the presence of the nail in the artificial fingertip with soft skin. The rate of increase in the resistance force of the T-shaped block was more significant than that of the cylindrical object because the finger pulp deformation was suppressed by the nail, and the form closure, that is, geometric constraint, was formed for the grasping object. These results suggest that the human nail improves precision grasping performance by forming geometric constraints on the grasped object, suppressing finger pulp deformation. © 2022 IEEE.

关键词： Deformation

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Evaluation of Multi-Sensor Gloves Development as an Assistive Interpreter for Indonesian Sign Language

Evaluation of Multi-Sensor Gloves Development as an Assistiv...

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International Conference on Computer engineering, Network and Intelligent Multimedia (CENIM)

作者： Dwisainstia Aponno Achmad Arifin Muhammad Hilman Fatoni Mohammad Nuh Takashi Watanabe Biomedical Engineering Departement Institut Teknologi Sepuluh Nopember Surabaya Indonesia Graduate School of Biomedical Engineering Tohoku University Sendai Japan

ISBN: (纸本)9781665476515

Individuals who suffer in speaking and hearing are known as people with hearing and speech impairment. Sign language is used by them to communicate. Nevertheless, the general public does not fully comprehend sign language. In this study, assistive technology for the Indonesian Sign Language Interpretation System was developed to convert the alphabet sign into text. The system incorporates the usage of flex sensors, pressure sensor, and MPU6050 module. After the development, the evaluation for this interpreter is carried out. The classifier was able to identify 24 out of 26 alphabets with detection error frequently occurring in the letters N and R with an accuracy of 94% in the second experiment. By using a specific classification and including more test data, this study expected outcome can be heightened. The results show that the classification method, along with the tool, may be used effectively as a speech and hearing aid.

关键词： Pressure sensors Wiring Dictionaries Flexible printed circuits Shape Gesture recognition Auditory system

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Development of fall prevention training device that can provide external disturbance to the ankle with pneumatic gel muscles (PGM) while walking

arXiv

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arXiv 2024年

作者： Isoshima, Keigo Tada, Mitsunori Maeda, Noriaki Tashiro, Tsubasa Arima, Satoshi Nagao, Takumi Tamura, Yuki Kurita, Yuichi Graduate School of Advanced Science and Engineering Hiroshima University Higashi Hiroshima Japan Tokyo Japan Graduate School of Biomedical and Health Sciences Hiroshima University Hiroshima Japan

Although the average life expectancy in Japan has been increasing in recent years, the problem of the large gap between healthy and average life expectancy still needs to be solved. Among the factors that lead to the need for nursing care, injuries due to falls account for a certain percentage of the total. In this paper, we developed boots that can provide external disturbance to the ankle with pneumatic gel muscles (PGM) while walking. We experimented using the acceleration and angular velocity of the heel as evaluation indices to evaluate the effectiveness of fall prevention training using this device, which is smaller and more wearable than conventional devices. This study confirmed that the developed system has enough training intensity to affect the gait waveform significantly. © 2024, CC BY.

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Development of VOCs Mixture Biomarker Classification System Based on Preconcentrator with Embedded Sensing Control

Development of VOCs Mixture Biomarker Classification System ...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Pornpawit Sinsukudomchai Arporn Teeramongkonrasmee Chadin Kulsing Isaya Thaveesangsakulthai Pakpum Somboon Biomedical Engineering Program Chulalongkorn University Bangkok Thailand Dept. of Electrical Engineering Chulalongkorn University Bangkok Thailand Chemistry Faculty of Science Chulalongkorn University Bangkok Thailand

ISBN: (数字)9798350381559

ISBN: (纸本)9798350381566

A volatile organic compound (VOCs) classification system is developed for non-invasive biomarker screening tests. The developed system utilizes a preconcentrator, which contains an absorbent material for trapping VOCs at low temperatures and thermally desorbing at specific elevated temperatures. This system is especially useful for detection of odor mixture at low concentration and target VOCs biomarkers in the odor sample can also be measured with enhanced selectivity. All sensing processes, including a PID temperature controller for heating preconcentrator, odor sensor interface, and solenoid valve control, are performed using only a single embedded microcontroller. An odor mixture with low concentration is measured and classified in order to investigate the developed system. The result of the experiment and the principal component analysis (PCA) shows that the system with the preconcentrator can measure the VOCs mixture of odor sample in terms of sensitivity and selectivity. This system prototype is useful for screening tests of exhaled breath biomarker.

关键词： Temperature measurement Temperature sensors Volatile organic compounds Temperature distribution Sensitivity Microcontrollers Valves

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Study of Cell Encapsulation System in Using Thai Silk Fibroin-Based Hydrogel 15

Study of Cell Encapsulation System in Using Thai Silk Fibroi...

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15th biomedical engineering International Conference, BMEiCON 2023

作者： Suksomthong, Nitchaya Aueviriyavit, Sasitorn Ratanavaraporn, Juthamas Chulalongkorn University Interdisciplinary Program of Biomedical Engineering Faculty of Engineering Bangkok Thailand Nano Safety and Bioactivity Research Team Pathum Thani Thailand Faculty of Engineering Chulalongkorn University Biomed. Eng. Prog. Biomed. Eng. Res. Ctr. Biomaterial Eng. for Medical and Health Research Unit Bangkok Thailand

ISBN: (纸本)9798350345247

Designing biomimetic tissue models and developing scaffolds under cell-compatible protocols are a challenge in the field of tissue engineering. Cell encapsulation technique was selected with hydrogel fabrication due to its similarity to the condition within the human body. This study proposed SF-based hydrogels with the aim of application as cell encapsulation matrix. The vital properties, including gelation, diffusion, and cell viability were evaluated. SF/DMPG hydrogels exhibited rapid gelation and sufficient diffusion. L929 cells encapsulated in SF/DMPG survived after the fabrication process, with proliferation occurred at day 1 of culture which was done in static condition. The developed hydrogels showed potential application as a cell encapsulation matrix using tissue engineering, especially bioink. © 2023 IEEE.

关键词： Hydrogels

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Parent-Centered Design: A Preliminary Usability Study on Newborn Home Cardiac Monitoring

Parent-Centered Design: A Preliminary Usability Study on New...

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IEEE Signal Processing in Medicine and Biology Symposium (SPMB)

作者： S. Ruckman F. Taghva A. Taebi Biomedical Engineering Program Mississippi State University Mississippi State Mississippi USA School of Information University of California Berkeley California USA

ISBN: (数字)9798350388572

ISBN: (纸本)9798350388589

Current measurement techniques in the medical field, such as electrocardiography (ECG) and pulse oximetry, are critical for monitoring the cardiovascular health of newborns [1]. Although there are devices on the market capable of measuring these signals, they are often not designed for use with newborns. This study conducted a preliminary usability test of four cardiovascular monitors for use with a newborn model. The findings indicated that users prefer a simple, wireless device that can be securely attached to a child to minimize movement. Additionally, they value a guided process and straightforward, user-friendly software. Understanding user preferences can facilitate developing an affordable, at-home monitoring device tailored for newborns which in turn may enhance early detection and management of congenital heart diseases (CHDs).

关键词： Wireless communication Pediatrics Current measurement Electrocardiography Signal processing User experience Software Usability biomedical monitoring Monitoring

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