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Guest Editorial: Special Section on AI-Based Biomedical Circuits and Systems

Jun Zhou, Ying Wei, Chao Wang, Fengbo Ren, Li Huang
2020 IEEE Transactions on Biomedical Circuits and Systems  
However, most of the existing work for AI-based biomedical applications mainly focus on the AI algorithm design.  ...  Tofighi Zavareh et al. 6) Review of AI-based biomedical processing algorithms and processors: comprehensive review on the state of the arts and trends of the AI-based biomedical processing algorithms  ...  His major research interests include energy-efficient digital signal processor design, ultra-low-voltage circuit design, MEMS sensor ASIC design, and heterogeneous 3D-IC design, especially for biomedical  ... 
doi:10.1109/tbcas.2020.2978994 fatcat:g2fmguh6rffltilhar2545tw4u

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Mostafa Rahimiazghadi, Corey Lammie, Jason Kamranr Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri
2020 IEEE Transactions on Biomedical Circuits and Systems  
biomedical applications at the edge.  ...  This paper can serve a large audience, ranging from nanoelectronics researchers to biomedical and healthcare practitioners in grasping the fundamental interplay between hardware, algorithms, and clinical  ...  TABLE II A II NUMBER OF RECENT EDGE-AI CMOS CHIPS SUITABLE FOR PORTABLE HEALTHCARE AND BIOMEDICAL APPLICATIONSRNN-CNN TABLE III EXISTING III HARDWARE IMPLEMENTATIONS AND HARDWARE-BASED SIMULATIONS OF  ... 
doi:10.1109/tbcas.2020.3036081 pmid:33156792 fatcat:rjwfjd7vmvglpk762mqeyiteqq

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications [article]

Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri
2020 arXiv   pre-print
biomedical applications at the edge.  ...  This paper can serve a large audience, ranging from nanoelectronics researchers, to biomedical and healthcare practitioners in grasping the fundamental interplay between hardware, algorithms, and clinical  ...  Although there are previous reviews on general AI-based algorithm design and hardware for biomedical applications [25] , to the best of our knowledge, this is the first work where a comprehensive tutorial  ... 
arXiv:2007.05657v1 fatcat:amqutl3suvgq5nygna4ef36usy

Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT

Luca Benini, Simone Benatti, Taekwang Jang, Abbas Rahimi
2021 IEEE transactions on computers  
"ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators" by Mei et al. proposes a memory-centric DNN codesign framework for extending the design space exploration with  ...  It shows that EFS based algorithms result in higher accuracy, lower L2 norm, and least number of support vectors compared to LS-SVM variants.  ...  Wang et al. design an edge-intelligent hierarchical dynamic pricing mechanism based on cloud-edge client collaboration that utilizes a double-label radius k-nearest neighbors algorithm.  ... 
doi:10.1109/tc.2021.3082675 fatcat:ffx3cnnozbbivf5zokiil62irq

Harnessing Artificial Intelligence and Machine Learning in Biomedical Applications with the Appropriate Regulation of Data

Nicole Bonan, Jaclyn Brennan, Anthony Hennig, Mark Alexander Kaltenborn
2021 Journal of Science Policy & Governance  
AI- and ML-based devices and systems have an advantage over traditional medical device systems because they are designed to learn and improve using large databases of actual or simulated patient data.  ...  quality of care for patients.  ...  Acknowledgements The authors would like to acknowledge the organizers of the National Science Policy Network's Science Policy Memo workshop for providing an environment in which the authors could receive  ... 
doi:10.38126/jspg180102 fatcat:tldd5arotvdtdbeeez43p3zlg4

2020 Index IEEE Transactions on Biomedical Circuits and Systems Vol. 14

2020 IEEE Transactions on Biomedical Circuits and Systems  
., 1333-1345 Ivorra, A., see Malik, S., TBCAS Aug. 2020 867-878 Iwata, A., see Kikkawa, T., 1333-1345 J Jafari, R., see  ...  ., +, TBCAS Aug. 2020 825-837 A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications.  ...  ., +, TBCAS Dec. 2020 1195-1206 Fuzzy neural networks A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications.  ... 
doi:10.1109/tbcas.2021.3059009 fatcat:rthgi6nrxzeaxkkwqwx753nrze

IMS 2022

2021 IEEE Microwave Magazine  
diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for  ...  RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization  ... 
doi:10.1109/mmm.2021.3088046 fatcat:hqrdk2khtbedzgx6kczud2qdqy

IMS2022 CFP

2021 IEEE Microwave Magazine  
diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for  ...  RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization  ... 
doi:10.1109/mmm.2021.3102285 fatcat:fgbstxnv7bbyfaqcx7alpanvam

IMS 2022

2021 IEEE Microwave Magazine  
diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for  ...  RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization  ... 
doi:10.1109/mmm.2021.3077744 fatcat:rmqv7y7yfvfbde6qejjh6q3hni

IMS2022 CFP

2021 IEEE Microwave Magazine  
diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for  ...  RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization  ... 
doi:10.1109/mmm.2021.3095980 fatcat:d4qb4ql5r5cjxkyzhvyqx3vfmi

IMS 2022

2021 IEEE Microwave Magazine  
diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for  ...  RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization  ... 
doi:10.1109/mmm.2021.3094086 fatcat:5b7lfe4v4vhsbl436vgs6gbtta

IJMLNCE Editorial Note Volume No 03, Issue No 04

Shivani Agarwal, Manju Khari, Prakash Singh Tanwar
2020 International Journal of Machine Learning and Networked Collaborative Engineering  
The Second research article suggested "The mechanism for Predictive Load Control v cons of biomedical engineering in the health care industry..  ...  The discussion has been concluded with the observation that biomedical engineering can be deeply integrated with healthcare, and various devices and instruments can be designed to cure various diseases  ...  The integration of these technology trends in the public sector is the elixir for infinite issues such as lack of resources and allocation of the public spending on buying new tools for the business continuation  ... 
doi:10.30991/ijmlnce.2019v03i04 fatcat:bmorqooalrarvks6wj6v46sxh4

Hardware-assisted Machine Learning in Resource-constrained IoT Environments for Security: Review and Future Prospective

Georgios Kornaros
2022 IEEE Access  
INDEX TERMS AI-based IoT security, Hardware-based machine learning, IoT intrusion detection, Trusted embedded devices I. INTRODUCTION  ...  This review aims to illuminate the value of various approaches for addressing IoT security in a truly effective, flexible, and seamless manner, as well as to provide answers to questions about tradeoffs  ...  attackers Merenda et al., [37] Review of implementing edge machine learning on Internet of Things devices Xu et al., [38] State-of-the-art hardware-based attacks on DNN with focus on hardware Trojans  ... 
doi:10.1109/access.2022.3179047 fatcat:damwrncpzzbxzamtghwlmrg6v4

Recent trends in neuromorphic engineering

Sumit Soman, jayadeva, Manan Suri
2016 Big Data Analytics  
We hope that this review would serve as a handy reference to both beginners and experts, and provide a glimpse into the broad spectrum of applications of neuromorphic hardware and algorithms.  ...  There is a diversity of work in the literature pertaining to neuromorphic systems, devices and circuits.  ...  It has around 450 citations and is the subject of review articles in AI Review, the Egyptian Informatics Journal, and Neural Computing and Applications (Springer).  ... 
doi:10.1186/s41044-016-0013-1 fatcat:oyjitbviy5cdpesqwo6fp5tpgu

AI in Health: State of the Art, Challenges, and Future Directions

Fei Wang, Anita Preininger
2019 IMIA Yearbook of Medical Informatics  
The increase in computer hardware and software applications in medicine, as well as digitization of health-related data together fuel progress in the development and use of AI in medicine.  ...  Artificial intelligence (AI) technologies continue to attract interest from a broad range of disciplines in recent years, including health.  ...  Biomedical Literature Data Published reports in the biomedical literature are another important source of data for AI in health applications.  ... 
doi:10.1055/s-0039-1677908 pmid:31419814 pmcid:PMC6697503 fatcat:mhxvvtvvbzdffmha73cfxy3nua
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