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Biomedical Applications with Using Embedded Systems [chapter]

Gulcicek Dere
2021 Data Acquisition - Recent Advances and Applications in Biomedical Engineering  
Besides the use of embedded systems in the field of electrical and electronics engineering, industrial, telecommunication, military, and many other commercial applications, and the other applications in  ...  Embedded system technologies have occupied an important area in biomedical technology.  ...  of biomedical applications of embedded systems.  ... 
doi:10.5772/intechopen.96070 fatcat:3ixcte36ijeinecufirplwelcu

Biomedical Semantic Embeddings: Using hybrid sentences to construct biomedical word embeddings and its applications

Arshad Shaik, Wei Jin
2019 2019 IEEE International Conference on Healthcare Informatics (ICHI)  
Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and Its Applications.  ...  However, most of the research related to word embeddings in biomedical domain focuses on analysis of model architecture, hyper-parameters and input text.  ...  For this reason, it has been used in many applications such as information retrieval, data mining and decision support systems.  ... 
doi:10.1109/ichi.2019.8904533 dblp:conf/ichi/ShaikJ19 fatcat:mtdswhwf4zbvtiv3wurtugdvvu

Introducing Information Retrieval for Biomedical Informatics Students [article]

Sanya B. Taneja, Richard D. Boyce, William T. Reynolds, Denis Newman-Griffis
2021 arXiv   pre-print
These activities provide students with hands-on experience targeted towards common use cases, and introduce fundamental components of NLP workflows for a wide variety of applications.  ...  Introducing biomedical informatics (BMI) students to natural language processing (NLP) requires balancing technical depth with practical know-how to address application-focused needs.  ...  the application-focused settings where most students will go on to use NLP.  ... 
arXiv:2105.02746v1 fatcat:qgtfxt4hqbfprayjzoihofd5hq

Modeling, synthesis, and validation of heterogeneous biomedical embedded systems

Gunar Schirner
2011 2011 IEEE International High Level Design Validation and Test Workshop  
The increasing performance and availability of embedded systems increases their attractiveness for biomedical applications.  ...  This paper overviews an approach for development of biomedical devices at an abstract algorithm level with automatic generation of an embedded implementation.  ...  In this paper, we harness the power of the ESL environment System-on-Chip (SCE) [10] for exploring design alternatives and generating an embedded implementation for biomedical applications focusing on  ... 
doi:10.1109/hldvt.2011.6113984 dblp:conf/hldvt/Schirner11 fatcat:paukmn7d5bds3c6vpxagtqs2au

Development of a Portable Embedded Patient Monitoring System

Jungmuk Kang, Sungil Yoo, Dongik Oh
2013 International Journal of Multimedia and Ubiquitous Engineering  
Based on the graphic display of the biomedical data collected, we verified that the multitasking implementation used in the system was suitable for PMs and for other u-Healthcare applications.  ...  Monitoring and communication applications are implemented on the OS using threads, which facilitates the stable and timely manipulation of signals and the appropriate sharing of resources.  ...  Biosensors used by WIPAMS Each biomedical sensor is connected to a USB port on WIPAMS and RS232 serial communication is used for data exchange.  ... 
doi:10.14257/ijmue.2013.8.6.14 fatcat:k2wfvfgvujfjpnchb7aarsrxoi

Knowledge-based Biomedical Data Science 2019 [article]

Tiffany J. Callahan, Ignacio J. Tripodi Computational Bioscience Program, Department of Pharmacology, University of Colorado Denver Anschutz Medical Campus
2019 arXiv   pre-print
Here we survey the progress in the last year in systems that use formally represented knowledge to address data science problems in both clinical and biological domains, as well as on approaches for creating  ...  Such systems depend on formally represented knowledge in computer systems, often in the form of knowledge graphs.  ...  One proposed a minimum supervision-based approach which combined a traditional NLP-pipelines for information extraction with the use of biomedical context embeddings (80).  ... 
arXiv:1910.06710v1 fatcat:kvz5k643zvhpdiq67blc2v33wi

A Comparison of Word Embeddings for the Biomedical Natural Language Processing [article]

Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul Kingsbury, Hongfang Liu
2018 arXiv   pre-print
Many biomedical applications use different textual resources (e.g., Wikipedia and biomedical articles) to train word embeddings and apply these word embeddings to downstream biomedical applications.  ...  Second, there does not exist a consistent global ranking of word embedding quality for downstream biomedical NLP applications.  ...  word embeddings on more downstream applications with data provided by shared biomedical NLP tasks.  ... 
arXiv:1802.00400v3 fatcat:y5cg4mbbrjh73jnahkbze2buaa

A Comparison of Word Embeddings for the Biomedical Natural Language Processing

Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul Kingsbury, Hongfang Liu
2018 Journal of Biomedical Informatics  
Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties  ...  However, there has been little work on evaluating the word embeddings trained from different textual resources.  ...  word embeddings on more downstream applications with data provided by shared biomedical NLP tasks.  ... 
doi:10.1016/j.jbi.2018.09.008 pmid:30217670 pmcid:PMC6585427 fatcat:ubpgnevnxzcjrf2wotjmojgabm

Evaluation of Named Entity Recognition Systems to Improve Ontology Concept Annotation for Biomedical Knowledge Graphs

Sanya Bathla Taneja, Marcin P Joachimiak, Harshad Hegde, William A Baumgartner Jr., J. Harry Caufield, Tiffany J Callahan, Christopher J Mungall, Richard D Boyce
2022 Zenodo  
We are currently evaluating the effects of the NER systems on downstream KG applications using graph analysis, embedding similarity, and data source cross-validation.  ...  Named Entity Recognition (NER) systems are commonly used in the construction of large biomedical knowledge graphs (KGs) from free text or non-standardized data.  ...  In this study, we evaluate NER systems for KG development, with a focus on using them to map entities to biomedical ontologies.  ... 
doi:10.5281/zenodo.6941350 fatcat:yleoczgfkrfmbdmuovmhijkniq

Building Standardized and Secure Mobile Health Services Based on Social Media

Jesús D. Trigo, Óscar J. Rubio, Miguel Martínez-Espronceda, Álvaro Alesanco, José García, Luis Serrano-Arriezu
2020 Electronics  
The results show that the system is fast enough (less than 1 s) for most mHealth telemonitoring services.  ...  For the former, two sizes of images were tested; for the latter, the two versions of the embedding algorithm were tested.  ...  To accomplish such a system, two Android applications were developed: one for users/patients and the other for formal/informal caregivers.  ... 
doi:10.3390/electronics9122208 fatcat:lqjec4rrebbwdoxs2gvej2jfyi

Analysis of Biomedical Applications in Embedded Systems Devices

Yue Dong, Charlie Siu
2021 Journal of Biomedical and Sustainable Healthcare Applications  
The applications biomedical applications in embedded systems will be discussed in this paper.  ...  Embedded systems are rapidly being used in clinical and biological applications, as well as commercial, telecommunications, government, and other business applications.  ...  Section II below presents a discussion of biomedical applications of embedded systems.  ... 
doi:10.53759/0088/jbsha202101015 fatcat:uop2vb5dsnao5kjswmiflslosq

Knowledge-Based Biomedical Data Science

Tiffany J. Callahan, Ignacio J. Tripodi, Harrison Pielke-Lombardo, Lawrence E. Hunter
2020 Annual Review of Biomedical Data Science  
Here we survey recent progress in systems that use formally represented knowledge to address data science problems in both clinical and biological domains, as well as progress on approaches for creating  ...  Such systems depend on formally represented knowledge in computer systems, often in the form of knowledge graphs.  ...  Good embeddings are important to the performance of machine learning systems and therefore have wide applicability.  ... 
doi:10.1146/annurev-biodatasci-010820-091627 pmid:33954284 pmcid:PMC8095730 fatcat:z26wawifg5awjl5xsx57ahiuge

Recent Advances on Wearable Electronics and Embedded Computing Systems for Biomedical Applications

Enzo Scilingo, Gaetano Valenza
2017 Electronics  
We are also very grateful to Mostafa Bassiouni, the editor-in-chief, for giving us the opportunity to guest-edit the Special Issue, and the entire staff of the Editorial Office of Electronics for our pleasant  ...  Acknowledgments: First of all, we would like to thank all authors of this Special Issue for their excellent contributions.  ...  The Present Special Issue In the frame of wearable electronics and embedded computing systems for biomedical applications, this Special Issue of Electronics includes a total of 14 papers, including two  ... 
doi:10.3390/electronics6010012 fatcat:2s2qrvcfcfdqvd2353ee5kmpgu

BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction [article]

Diana Sousa, Francisco M. Couto
2020 arXiv   pre-print
However, using deep learning methods, along with biomedical ontologies, has been recently shown to effectively advance the biomedical relation extraction field.  ...  We tested our system with three data sets that represent three different types of relations of biomedical entities.  ...  Our system is based on the work of Lamurias et al. [13] and Xu et. al. [25] . Both of these models make use of biomedical resources as embedding layers for their respective systems. Lamurias et. al  ... 
arXiv:2001.07139v1 fatcat:dsifxkfeinc7pmv7tgxnfz24iy

Biomedical event extraction based on GRU integrating attention mechanism

Lishuang Li, Jia Wan, Jieqiong Zheng, Jian Wang
2018 BMC Bioinformatics  
As the primary forum for international evaluation of different biomedical event extraction technologies, BioNLP Shared Task represents a trend in biomedical text mining toward fine-grained information  ...  , utilizing the corpus from the BioNLP'16 Shared Task on Bacteria Biotope task.  ...  The abridged abstract of this work was previously published in the Proceedings of the 13th International Symposium on Bioinformatics Research and Applications (ISBRA 2017), Lecture Notes in Computer Science  ... 
doi:10.1186/s12859-018-2275-2 pmid:30367569 fatcat:4yy7ctpoxzddfaappdbljs7sq4
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