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Perturbation-induced electromyographic activity is predictive of flexion synergy expression and a sensitive measure of post-stroke motor impairment 46

Perturbation-induced electromyographic activity is predictiv...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Sinha, Nirvik Dewald, Julius P.A. Yang, Yuan Interdepartmental Neuroscience Program Northwestern University ChicagoIL United States Edmond and Lily Safra Center for Brain Sciences Hebrew University Jerusalem Israel McCormick School of Engineering and Applied Sciences Northwestern University Department of Biomedical Engineering ChicagoIL United States Feinberg School of Medicine Northwestern University Department of Physical Therapy and Human Movement Sciences ChicagoIL United States Grainger College of Engineering University of Illinois Urbana-Champaign Department of Bioengineering UrbanaIL United States Carle Foundation Hospital UrbanaIL United States

ISBN: (纸本)9798350371499

The goal of this study was to explore whether the stretch reflex-induced muscle activity is correlated with the expression of the flexion synergy and, therefore, can serve as a quantitative indicator of post-stroke motor impairment. Eleven stroke participants stroke were recruited for this study. Their forearm was connected to a robotic device that applied continuous position perturbations to the paretic elbow joint. The magnitude of EMG activity of the spastic biceps brachii was measured. The expression of the flexion synergy was determined using the increase of synergistic elbow flexion torque when subjects were gradually lifting their paretic arm with two derived measures: normalized flexion synergy area (NFSA) and the mean slope of the expression of flexion synergy (ΔFS). Significant positive correlations were found between spastic biceps EMG (predictor variable) and the flexion synergy expression (response variables), i.e., NFSA (ρ = 0.89, p © 2024 IEEE.

关键词： Electromyography

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Opto2P-FCM: A MEMS Based Miniature Two-Photon Microscope with Patterned Optogenetic Stimulation

Opto2P-FCM: A MEMS Based Miniature Two-Photon Microscope wit...

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Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics

作者： Futia, Gregory L. Zohrabi, Mo McCullough, Connor Teel, Alec de Souza, Fabio Simoes Oroke, Ryan Bright, Victor M. Restrepo, Diego Gopinath, Juliet T. Gibson, Emily A. Department of Bioengineering University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Cell and Developmental Biology University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Department of Mechanical Engineering University of Colorado BoulderCO80309 United States Department of Physics University of Colorado BoulderCO80309 United States Materials Science and Engineering Program University of Colorado BoulderCO80309 United States

Miniaturized microscopes for monitoring neural activity are an indispensable tool for neuroscience research. We present a novel MEMS based miniature microscope with patterned optogenetic stimulation capabilities enabl... 详细信息

ISBN: (纸本)9781957171340

关键词： Microscopes

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Genomic Alterations of KRAS and NRAS in B&H Colorectal and Non-small Cell Lung Cancer Patients

Genomic Alterations of KRAS and NRAS in B&H Colorectal and N...

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International Conference on Medical and Biological Engineering in Bosnia and Herzegovina, CMBEBIH 2021

作者： Smajović, Lejla-Nur Pećar, Dino Salihefendić, Lana Hromić-Jahjefendić, Altijana Konjhodžić, Rijad Alea Genetic Center Olovska br. 67 Sarajevo71000 Bosnia and Herzegovina Genetics and Bioengineering Program Faculty of Engineering and Natural Sciences International University of Sarajevo Hrasnička cesta br. 15 Sarajevo71210 Bosnia and Herzegovina

ISBN: (纸本)9783030739089

Non-small cell lung cancer (NSCLC) and colorectal cancer (CRC) are two leading neoplasms in population of Bosnian cancer patients and a leading cause of death. RAS family of genes, in particular KRAS gene, is one of the most frequently mutated oncogene in these cancer types. This paper reports diagnostic samples from 36 CRC and 14 NSCLC Bosnian patients that were analyzed by next generation sequencing (NGS). Based on Ion AmpliSeq technology, NGS enabled molecular characterization of a panel of 22 hotspot regions of genes known to be involved in pathogenesis of NSCLC and CRC. We identified 33.3% of CRC patients harboring KRAS mutations and 11.1% patients harboring NRAS mutations. In NSCLC group, we identified 35.7% of KRAS-mutant patients. None of the NSCLC patients carried NRAS mutation. We found that CRC patients harbored 8 distinctive KRAS mutation subtypes, most of which were pathogenic. KRAS G13D was the most frequently occurring KRAS mutation subtype (33.3%) in CRC. 2 subtypes of NRAS mutations were detected, one of which was a well-documented pathogenic mutation. In NSCLC patients, we detected 3 KRAS mutant subgroups. KRAS G12C mutant was the most frequently detected KRAS mutation subtype in NSCLC patients (80%). Mean number of co-occurring aberrations per cancer type was 6.75 and 11 for CRC and NSCLC, respectively. Two most frequently co-occurring pathogenic aberrations were found in TP53 and PIK3CA genes. Thus, RAS-mutants in the population of B&H cancer patients are highly heterogeneous and distinctive molecular profiles have potentially different implications in cancer-associated pathways and therapeutic significance indicating the need for further investigation of KRAS subtype as a potent biomarker. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Genes

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Attenuation Correction for Phantom Images Acquired in the Second Generation PETcoil Insert for PET/MR Brain Imaging

Attenuation Correction for Phantom Images Acquired in the Se...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Y. Pan J. Fisher C. Wang C. Levin Applied Physics Stanford University Stanford California United States of America Electrical Engineering Stanford University Stanford California United States of America Rad/Molecular Imaging Program Stanford University Stanford California United States of America Radiology Physics Bioengineering Stanford University Stanford California United States of America

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

This paper proposes a geometry-based attenuation correction method for phantom PET scans using emission data alone. The method reconstructs the phantom image without attenuation and scatter correction, registers the image with the known phantom, and calculates the intersection of every line of response (LOR) with the registered phantom geometry. Knowing the attenuation per LOR allows us to manipulate the list-mode emission data accordingly and generate a list-mode data file with an enhanced number of coincidences per LOR according to the estimated *** approach yielded promising results when applied to a Hoffman brain phantom study using the second-generation PETcoil insert scanner. The intensity line profile generated by summing the signal intensity along the transverse and coronal axes looked more like the expected line profile without scatter correction, as expected. This approach can be easily generalized to any other phantoms and scanners.

关键词： Neuroimaging Geometry Microwave integrated circuits Semiconductor detectors Phantoms Attenuation Imaging phantoms

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Dynamic Threshold Discriminator - Mutual Learning for Scalable Time Stamping Neural Networks

Dynamic Threshold Discriminator - Mutual Learning for Scalab...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S. Bae M. Yi J.S. Lee Seoul National University Graduate School Interdisciplinary Program in Bioengineering Seoul Republic of Korea Seoul National University Graduate School Integrated Major in Innovative Medical Science Seoul Republic of Korea Department of Nuclear Medicine Seoul National University Seoul Republic of Korea

The precision of emission image estimation relies on accurate interaction time estimation, which is becoming increasingly possible with neural network-based time stamping methods. In order to expand the use of these methods to multiple detector systems and facilitate mutual training, we leverage the inherent variance-bias characteristics of scintillator detectors. Our neural network, called the Dynamic Threshold Discriminator (DTD), is designed to estimate appropriate thresholds for given waveforms rather than estimating time stamps directly to exploit the characteristic. We assessed the feasibility of DTD using experimental data and compared it to classical time stamping methods (LED, CFD, LED with energy correction) and a neural network-based time stamping method. The proposed method showed a 12% lower coincidence timing resolution compared to LED with energy correction for a 500 keV energy window even without energy information and demonstrated robust performance regardless of the digitizer's sampling rate.

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The minimum dataset for rare diseases in Brazil: A systematic review protocol

The minimum dataset for rare diseases in Brazil: A systemati...

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2021 International Conference on ENTERprise Information Systems, CENTERIS 2021 / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021 and International Conference on Health and Social Care Information Systems and Technologies 2021

作者： Bernardi, Filipe Andrade Yamada, Diego Bettiol De Oliveira, Bibiana Mello Lima, Vinicius Costa Félix, Têmis Maria Alves, Domingos Bioengineering Postgraduate Program University of São Paulo São Carlos Brazil Ribeirao Preto Medical School University of Sao Paulo Ribeirao Preto Brazil Postgraduate Program in Genetics and Molecular Biology Federal University of Rio Grande Do sul Porto Alegre Brazil Medical Genetics Service Porto Alegre Clinics Hospital Porto Alegre Brazil

The Minimum Data Set (MDS) can be used for subsidiarity decision-making and health planning. Besides, this strategy allows to identify obligatory points that must be adjusted to achieve sustainable management in the planning and development of relevant Health Information Systems for public health. Specifically, in the context of rare diseases, the MDS strategy can be very valuable. This systematic review will focus on research using MDS for rare diseases in several databases. We seek to answer the question: "What is the minimum data set used in registries for rare diseases?" Some outcomes of interests specific for MDS will involve information about epidemiology, clinical procedures, and therapeutic resources among other features. We hope that by standardizing data through a careful analysis of evidence from different sources of a common format, with shared specifications and structures, we can help in the methodological transparency and reproducibility of results in the context of rare disease research. © 2021 Elsevier B.V. All rights reserved.

关键词： Public health

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HUMAN NOT IN THE LOOP: OBJECTIVE SAMPLE DIFFICULTY MEASURES FOR CURRICULUM LEARNING

arXiv

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arXiv 2023年

作者： Zhou, Zhengbo Luo, Jun Kitamura, Gene Wu, Shandong Intelligent Systems Program University of Pittsburgh PittsburghPA United States Loma Linda University Loma LindaCA United States Dept. of Radiology Dept. of Biomedical Informatics Dept. of Bioengineering University of Pittsburgh PittsburghPA United States

Curriculum learning is a learning method that trains models in a meaningful order from easier to harder samples. A key here is to devise automatic and objective difficulty measures of samples. In the medical domain, previous work applied domain knowledge from human experts to qualitatively assess classification difficulty of medical images to guide curriculum learning, which requires extra annotation efforts, relies on subjective human experience, and may introduce bias. In this work, we propose a new automated curriculum learning technique using the variance of gradients (VoG) to compute an objective difficulty measure of samples and evaluated its effects on elbow fracture classification from X-ray images. Specifically, we used VoG as a metric to rank each sample in terms of the classification difficulty, where high VoG scores indicate more difficult cases for classification, to guide the curriculum training process We compared the proposed technique to a baseline (without curriculum learning), a previous method that used human annotations on classification difficulty, and anti-curriculum learning. Our experiment results showed comparable and higher performance for the binary and multi-class bone fracture classification tasks. © 2023, CC BY.

关键词： Medical imaging

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My Latent Tuberculosis Treatment - mobile application to assist in adherence to latent tuberculosis treatment

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Procedia Computer Science 2022年 196卷 640-646页

作者： Thomaz Felipe Soares Arnizant Filipe Andrade Bernardi Tiago Lara Michelin Sanchez Nathalia Yukie Crepaldi Thiago Nascimento do Prado Marcelle Temporim Novaes Ethel Leonor Noia Maciel Domingos Alves Ribeirao Preto Medical School University of Sao Paulo Ribeirao Preto Brazil Bioengineering Postgraduate Program University of São Paulo São Carlos Brazil Espírito Santo Federal University – Epidemiology Laboratory Vitória Brazil

According to the World Health Organization (WHO), latent tuberculosis occurs through latent infection by Mycobacterium tuberculosis without evidence of active tuberculosis (TB) symptoms. As patients don’t develop the same symptoms as active TB, the treatment is abandoned before the end, as it lasts about six months. This leads to significant treatment avoidance, requiring new forms of adherence to latent TB treatment. One of the strategies to help to latent TB treatment is the possibility of using applications for mobile devices, once the use of ICTs to aid in the treatment of LTBI can increase the rate of treatment adherence. Thus, this work aimed to study the creation of a technology that helps the adherence of these patients, being made available an application that is easy to use, intuitive, free and developed in a language for Android phones, which accompany the patient throughout the treatment.

关键词： latent tuberculosis mobile app mHealth

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A Rapid Manual Solid Phase Peptide Synthesis Method for High-Throughput Peptide Production

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Journal of Biomedical Materials Research - Part A 2025年第5期113卷 e37922页

作者： Overby, Clyde Abraham, Brittany Adjei-Sowah, Emmanuella March, Alyson Ling, Kevin Basu, Sayantani Benoit, Danielle S. W. Department of Biomedical Engineering University of Rochester RochesterNY United States Center for Musculoskeletal Research University of Rochester RochesterNY United States Department of Chemical Engineering University of Rochester RochesterNY United States Materials Science Program University of Rochester RochesterNY United States Department of Bioengineering Knight Campus for Accelerating Scientific Impact University of Oregon EugeneOR United States

Solid phase peptide synthesis (SPPS) techniques are critical for developing and using peptides in various biomedical applications. However, typical synthesis routes used in SPPS are either resource-intensive (e.g., with automated synthesis or commercial services) or time-consuming (e.g., with manual benchtop synthesis). Here, a rapid manual synthesis method was developed to produce up to 8 peptides with fast cycle times simultaneously. Peptides synthesized manually were of equivalent or superior quality to those produced by in-house microwave-assisted automated peptide synthesis, with higher average crude purity of 70% compared to 50%. The method significantly reduced synthesis time, enabling the parallel coupling of up to 8 amino acids simultaneously in 15–20 min, as opposed to traditional benchtop peptide synthesis, which requires 80–150 min per amino acid. This approach offers an intermediate throughput between milligram-scale libraries and gram-scale single peptide synthesis, enabling rapid iteration for novel peptide designs without the need for expensive automated systems. As a result, peptide modifications, including incorporation of unnatural amino acids, can be explored, accelerating the development of peptides for a wide range of applications. © 2025 The Author(s). Journal of Biomedical Materials Research Part A published by Wiley Periodicals LLC.

关键词： Medical applications

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My Latent Tuberculosis Treatment - Mobile application to assist in adherence to latent tuberculosis treatment

My Latent Tuberculosis Treatment - Mobile application to ass...

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作者： Soares Arnizant, Thomaz Felipe Bernardi, Filipe Andrade Michelin Sanchez, Tiago Lara Crepaldi, Nathalia Yukie Do Prado, Thiago Nascimento Novaes, Marcelle Temporim Noia Maciel, Ethel Leonor Alves, Domingos Ribeirao Preto Medical School University of Sao Paulo Ribeirao Preto Brazil Bioengineering Postgraduate Program University of São Paulo São Carlos Brazil Espírito Santo Federal University Epidemiology Laboratory Vitória Brazil

According to the World Health Organization (WHO), latent tuberculosis occurs through latent infection by Mycobacterium tuberculosis without evidence of active tuberculosis (TB) symptoms. As patients don't develop the same symptoms as active TB, the treatment is abandoned before the end, as it lasts about six months. This leads to significant treatment avoidance, requiring new forms of adherence to latent TB treatment. One of the strategies to help to latent TB treatment is the possibility of using applications for mobile devices, once the use of ICTs to aid in the treatment of LTBI can increase the rate of treatment adherence. Thus, this work aimed to study the creation of a technology that helps the adherence of these patients, being made available an application that is easy to use, intuitive, free and developed in a language for Android phones, which accompany the patient throughout the treatment. © 2021 Elsevier B.V. All rights reserved.

关键词： mHealth

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