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Glassy carbon microelectrode arrays enable voltage-peak separated simultaneous detection of dopamine and serotonin using fast scan cyclic voltammetry

arXiv

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arXiv 2020年

作者： Castagnola, Elisa Thongpang, Sanitta Hirabayashi, Mieko Nava, Giorgio Nimbalkar, Surabhi Nguyen, Tri Lara, Sandra Oyawalea, Alexis Bunnella, James Moritz, Chet Kassegne, Sam NanoFAB. SDSU Lab Department of Mechanical Engineering San Diego State University San DiegoCA United States University of Washington Departments of Electrical & Computer Engineering Rehabilitation Medicine and Physiology & Biophysics SeattleWA United States Department of Biomedical Engineering Faculty of Engineering Mahidol University Nakorn Pathom Thailand Department of Mechanical Engineering University of California Riverside RiversideCA United States Bill & Melinda Gates Center for Computer Science & Engineering SeattleWA98195 United States

Progress in real-time, simultaneous in vivo detection of multiple neurotransmitters will help accelerate advances in neuroscience research. The need for development of probes capable of stable electrochemical detection of rapid neurotransmitter fluctuations with high sensitivity and selectivity and sub-second temporal resolution has, therefore, become compelling. Additionally, a higher spatial resolution multi-channel capability is required to capture the complex neurotransmission dynamics across different brain regions. These research needs have inspired the introduction of glassy carbon (GC) microelectrode arrays on flexible polymer substrates through carbon MEMS (C-MEMS) microfabrication process followed by a novel pattern transfer technique. These implantable GC microelectrodes offer unique advantages in electrochemical detection of electroactive neurotransmitters through the presence of active carboxyl, carbonyl, and hydroxyl functional groups. In addition, they offer fast electron transfer kinetics, capacitive electrochemical behavior, and wide electrochemical window. Here, we combine the use of these GC microelectrodes with the fast scan cyclic voltammetry (FSCV) technique to optimize the co-detection of dopamine and serotonin in vitro and in vivo. We demonstrate that using optimized FSCV triangular waveform at scan rates ≤ 700 V/s and holding and switching at potentials of 0.4 and 1V respectively, it is possible to discriminate voltage reduction and oxidation peaks of serotonin and dopamine, with serotonin contributing distinct multiple oxidation peaks. Taken together, our results present a compelling case for a carbon-based MEA platform rich with active functional groups that allows for repeatable and stable detection of electroactive multiple neurotransmitters at concentrations as low as 10 nM. © 2020, CC-BY.

关键词： Carbon

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Advancing Italian biomedical Information Extraction with Large Language Models: Methodological Insights and Multicenter Practical Application

SSRN

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SSRN 2023年

作者： Crema, Claudio Buonocore, Tommaso Mario Fostinelli, Silvia Parimbelli, Enea Verde, Federico Fundarò, Cira Manera, Marina Ramusino, Matteo Cotta Capelli, Marco Costa, Alfredo Binetti, Giuliano Bellazzi, Riccardo Redolfi, Alberto Laboratory of Neuroinformatics Italy Molecular Markers Laboratory IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy Dept. of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Department of Neurology and Laboratory of Neuroscience IRCCS Istituto Auxologico Italiano Milan Italy Department of Pathophysiology and Transplantation Dino Ferrari Center Università degli Studi di Milano Milan Italy Neurophysiopatology Unit Italy Psychology Unit IRCCS Istituti Clinici Scientifici Maugeri Pavia Italy Unit of Behavioral Neurology IRCCS Mondino Foundation Pavia Dept. of Brain and Behavioral Sciences University of Pavia Pavia Italy

The introduction of computerized medical records in hospitals has reduced burdensome activities like manual writing and information fetching. However, the data contained in medical records are still far underutilized, primarily because extracting data from unstructured textual medical records takes time and effort. Information Extraction, a subfield of Natural Language Processing, can help clinical practitioners overcome this limitation by using automated text-mining pipelines. In this work, we created the first Italian neuropsychiatric Named Entity Recognition dataset, PsyNIT, and used it to develop a Large Language Model for this task. Moreover, we collected and leveraged three external independent datasets to implement an effective multicenter model, with overall F1-score 84.77%, Precision 83.16%, Recall 86.44%. The lessons learned are: (i) the crucial role of a consistent annotation process and (ii) a fine-tuning strategy that combines classical methods with a "few-shot" approach. This allowed us to establish methodological guidelines that pave the way for Natural Language Processing studies in less-resourced languages. © 2023, The Authors. All rights reserved.

关键词： Natural language processing systems

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Informing the development of assistive technologies for persons with dementia by connecting financial measures of wealth to perceptions of task dependence

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Technology and Disability 2019年第1-2期31卷 39-49页

作者： Czarnuch, Stephen Ricciardelli, Rose Mihailidis, Alex Department of Electrical and Computer Engineering Faculty of Engineering and Applied Science/Discipline of Emergency Medicine Faculty of Medicine Memorial University of Newfoundland St. John's NL Canada Department of Sociology Memorial University of Newfoundland St John's NL Canada Department of Occupational Science and Occupational Therapy Institute of Biomaterials and Biomedical Engineering University of Toronto Toronto ON Canada

BACKGROUND: Older adults with dementia have been targeted toward the development of assistive technologies intended to facilitate aging in place. Researchers have documented financial and occupation strain for the caregiver and the financial limitations experienced by persons with dementia. These factors constitute a potential hindrance to the use and applicability of assistive technologies;technologies that may reduce caregiver burden, allow more time for paid work, and, in consequence, reduce occupational strain. OBJECTIVE: To unpack how financial burden, operationalized as direct (e.g., income) and indirect (e.g., caregiver education, employment status) measures of wealth and assets, affect the perceived independence of people with dementia. METHODS: We draw on data collected through a cross-Canada survey of caregivers to develop a set of predictive models of care-recipient task independence. RESULTS: Our findings suggest that said measures of wealth can predict task independence, and more complicated or instrumental daily tasks (e.g., shopping, driving) are perceived as being those with which care recipients need most assistance. CONCLUSIONS: Considering the economical and emotional obstacles that affect both the caregiver and the care recipient, the development of assistive technologies that would be both financially realistic and assistive for this population in these instrumental daily tasks is warranted. © 2019 - IOS Press and the authors. All rights reserved.

关键词： Assistive technology caregiver dementia financial strain financial wealth independence

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Predictive Protective Control for Flexible Energy System

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IFAC-PapersOnLine 2018年第6期51卷 1-6页

作者： Ozana, S. Pies, M. Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17.listopadu 15 Ostrava Czech Republic

The paper deals with the predictive control applied to flexible cogeneration energy system (FES). The FES was designed and developed by the VITKOVICE POWER engineering joint-stock company and represents a new solution of decentralized cogeneration energy sources. In FES, the heating medium is flue gas generated by combustion of a solid fuel. The heated medium is power gas, which is a gas mixture of air and water steam. Power gas is superheated in the main heat exchanger and led to gas turbines. To protect the main heat exchanger against damage by overheating, the novel predictive protective control based on the mathematical model of exchanger was developed. The paper describes the principle, the design and simulation of the predictive protective method applied to main heat exchanger of FES. © 2018

关键词： Gases Cogeneration plants Fuels Gas turbines Heat exchangers Design and simulation Distributed parameter Energy systems Heating medium Joint stock companies Power engineering Predictive control simulation

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BPS2025 - Rapid and accurate transepithelial resistance measurement of bronchiolar epithelium using impedance spectroscopy and RCRC model

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Biophysical Journal 2025年第3期124卷 296a-297a页

作者： Athena Chien Colby Lewallen Guiying Cui Analia Vazquez Cegla Erica Lull Hanna Khor Nael A. McCarty Craig Forest Walter H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta GA USA National Eye Institute National Institutes of Health Bethesda MD USA Department of Pediatrics Emory University Atlanta GA USA Department of Pharmacology Emory University Atlanta GA USA School of Mechanical Engineering Georgia Institute of Technology Atlanta GA USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Picture Archives Communication System Emory University School of Medicine Atlanta GA USA

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Robust fault detection, location, and recovery of damaged data using linear regression and mathematical models

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IFAC-PapersOnLine 2018年第24期51卷 300-306页

作者： Latocha, A. AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Krakow al. Mickiewicza 30 30-059 Poland

A new method using linear regression and mathematical models is proposed for fault detection, location and the recovery (FDIR) of damaged data. Linear regression was used to identify the mathematical model of the system from source data. For this reason the paper focuses on the class of fault whose impact on the system causes that the measured data are differ from the expected values. Based on the mathematical model of the process developed during identification from source data, the damage area can be pre-located, using proposed recurrence algorithm of fault recovery (FR) we can exactly estimated expected value on the damage area. Based on estimated expected value the damage area can be precisely located and the class of faults can be estimated. This paper proposes an innovative approach to recurrence self-tuning of fault recovery (FR) from parts incomplete or damaged data of the pre-allocated area. © 2018

关键词： Fault detection

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Multiple plans are better than one: Diverse stochastic planning

arXiv

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arXiv 2020年

作者： Ghasemi, Mahsa Crafts, Evan Scope Zhao, Bo Topcu, Ufuk Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Oden Institute for Computational Engineering and Sciences The University of Texas at Austin AustinTX78712 United States Department of Biomedical Engineering The University of Texas at Austin AustinTX78712 United States Department of Aerospace Engineering and Engineering Mechanics The University of Texas at Austin AustinTX78712 United States

In planning problems, it is often challenging to fully model the desired specifications. In particular, in human-robot interaction, such difficulty may arise due to human’s preferences that are either private or complex to model. Consequently, the resulting objective function can only partially capture the specifications and optimizing that may lead to poor performance with respect to the true specifications. Motivated by this challenge, we formulate a problem, called diverse stochastic planning, that aims to generate a set of representative — small and diverse — behaviors that are near-optimal with respect to the known objective. In particular, the problem aims to compute a set of diverse and near-optimal policies for systems modeled by a Markov decision process. We cast the problem as a constrained nonlinear optimization for which we propose a solution relying on the Frank-Wolfe method. We then prove that the proposed solution converges to a stationary point and demonstrate its efficacy in several planning problems. Copyright © 2020, The Authors. All rights reserved.

关键词： Specifications

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Kinect-based human gait recognition using a novel adaptive dynamics learning approach

引用

ASME 2019 Dynamic Systems and Control Conference, DSCC 2019

作者： Chen, Xiaotian Stegagno, Paolo Dong, Xiaonan Yuan, Chengzhi Department of Electrical Computer and Biomedical Engineering University of Rhode Island KingstonRI02881 United States Department of Mechanical Industrial and Systems University of Rhode Island KingstonRI02881 United States

ISBN: (纸本)9780791859148

This paper proposes a human gait recognition method based on a novel adaptive dynamics learning approach (i.e., deterministic learning) and the Kinect depth camera. First, a series of real-time human joint position data is captured and collected by using Microsoft Kinect and Robot Operating System (ROS) packages. Second, the collected position data is converted to four time-varying features that could best represent the human gait dynamics. Third, the human gait dynamics associated with the four features from each gait pattern are effectively modeled using a novel discrete-time adaptive dynamics learning algorithm. A gait dynamics database is developed, based on which a multimodel recognition scheme is implemented to realize real-time rapid recognition of human gait. Finally, a Python-based GUI is created by integrating all the algorithmic components to facilitate user operations and visualizations. In the experiment study, by using the 2-fold, 10-fold cross-validation, and leave-one-out validation approaches, the recognition success rates are reported to be average 93.7% based on our proposed method, which outperforms other state-of-the-art machine learning approaches. Copyright © 2019 ASME.

关键词： Robot Operating System

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Low cost laboratory plant for control system education

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IFAC-PapersOnLine 2018年第6期51卷 289-294页

作者： Docekal, Tomas Golembiovsky, Matej Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17.listopadu 15 Ostrava Czech Republic

This article deals with design and development of low cost laboratory plant for control system education. The apparatus includes DC motor with incremental quadratic encoder. The Arduino platform is used to realize digital control system. It is also possible to use Raspberry Pi to interact with laboratory plant and REX Control System to design control algorithm. © 2018

关键词： Costs DC motors Digital control systems Embedded systems Microcontrollers Microprocessor chips Arduino Arduino platforms Control system education Design and Development Design control algorithms Low costs Raspberry pi

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Evaluating the effectiveness of the "Individual Assistance Plan" for Italian chronic patients

Evaluating the effectiveness of the "Individual Assistance P...

引用

Mediterranean Electrotechnical Conference (MELECON)

作者： Anna Alloni Daniele Santonastaso Marco Villa Matteo Gabetta Mauro Bucalo Silvana Quaglini Biomeris s.r.l. Pavia Italy DSP Solutions Milanese (MI) Italy ATS Valpadana Cremona Italy Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy

ISBN: (数字)9781728152004

ISBN: (纸本)9781728152011

The aim of this work is the evaluation of a relatively new intervention for chronic patients in Italy, namely the PAI, i.e., "Piano Assistenziale Individuale" (Individual Care Plan). It is a service based on the paradigm of the personalised medicine, which should optimize several aspects of the individual care, such as patients' compliance to therapy, ease of access to care delivery, and a tighter monitoring of the patient's status on the long run. The expected outcomes from the PAI introduction are both the improvement of the patients' status and reduction of costs for the care provider. A case-control study has been performed, involving more than 20000 patients, and preliminary results seem to confirm the effectiveness of the new service, in particular by reducing patients' access to hospital and emergency room.

关键词： Pathology Sociology Statistics Monitoring Hospitals Task analysis

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