Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[ATM/H2AX and repair of sperm-DNA damage during cryopreservation].

Zhonghua nan ke xue = National journal of andrology·2011
Same author

Predicting accident frequency at their severity levels and its application in site ranking using a two-stage mixed multivariate model.

Accident; analysis and prevention·2011
Same author

Photothermally enhanced photodynamic therapy delivered by nano-graphene oxide.

ACS nano·2011
Same author

[Characteristics of soil respiration in Phyllostachys edulis forest in Wanmulin Natural Reserve and related affecting factors].

Ying yong sheng tai xue bao = The journal of applied ecology·2011
Same author

Quality changes in sea urchin (Strongylocentrotus nudus) during storage in artificial seawater saturated with oxygen, nitrogen and air.

Journal of the science of food and agriculture·2011
Same author

Global effect of an RNA polymerase β-subunit mutation on gene expression in the radiation-resistant bacterium Deinococcus radiodurans.

Science China. Life sciences·2011
Same journal

Multiplexed Crossbar GFET Array With BioADC for Multi-Modal Aptamer-Based Sensing.

IEEE transactions on biomedical circuits and systems·2026
Same journal

A VPG-Based Adaptive Windowing PPG Sensor IC for Low-Power Wearable Monitoring.

IEEE transactions on biomedical circuits and systems·2026
Same journal

A Chopper Amplifier with Feedforward SAR ADC Assisted DC Servo Loop Achieving ±1V DC Offset Cancellation in 2.1s for Neural Signal Recordings.

IEEE transactions on biomedical circuits and systems·2026
Same journal

ANP-R: A 22nm 0.88pJ/SOP Asynchronous SNN-based Processor with Coarse-Grained Reconfigurable Architecture Enabling Multisensory On-chip Incremental Learning for Edge AI.

IEEE transactions on biomedical circuits and systems·2026
Same journal

A High-Efficiency Neural Processing SoC for Adaptive Closed-Loop Neuromodulation.

IEEE transactions on biomedical circuits and systems·2026
Same journal

DustNet: A Wireless Network of Ultrasonic Neural Implants.

IEEE transactions on biomedical circuits and systems·2026
See all related articles

Related Experiment Video

Updated: Dec 28, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

696

A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications.

Ying Wei, Jun Zhou, Yin Wang

    IEEE Transactions on Biomedical Circuits and Systems
    |February 21, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This review explores artificial intelligence (AI) algorithms and hardware for biomedical processing, covering applications like ECG and EEG. It analyzes AI techniques and hardware trends for enhanced medical signal analysis and device development.

    More Related Videos

    Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
    06:33

    Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

    Published on: February 9, 2024

    1.7K
    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
    07:46

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

    Published on: August 9, 2024

    1.1K

    Related Experiment Videos

    Last Updated: Dec 28, 2025

    Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
    05:33

    Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

    Published on: July 11, 2025

    696
    Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
    06:33

    Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

    Published on: February 9, 2024

    1.7K
    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
    07:46

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

    Published on: August 9, 2024

    1.1K

    Area of Science:

    • Biomedical Engineering
    • Artificial Intelligence
    • Signal Processing

    Background:

    • Biomedical signal processing relies heavily on advanced algorithms and specialized hardware.
    • The integration of Artificial Intelligence (AI) offers significant potential for improving the accuracy and efficiency of biomedical data analysis.
    • Existing approaches face challenges in real-time processing and specific application demands.

    Purpose of the Study:

    • To provide a comprehensive review of current AI-based algorithms and hardware for biomedical processing.
    • To analyze the state-of-the-art and emerging trends in AI for applications such as electrocardiography (ECG), electroencephalography (EEG), and hearing aids.
    • To compare the advantages and disadvantages of various AI algorithms and hardware architectures.

    Main Methods:

    • Review of existing literature on AI algorithms for biomedical signal classification, including Support Vector Machines (SVM), Back Propagation Neural Networks (BPNN), Convolutional Neural Networks (CNN), Probabilistic Neural Networks (PNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), and fuzzy neural networks.
    • Analysis of AI-based biomedical processors for ECG, EEG, EMG classification, and hearing aids, examining architecture and circuit-level techniques.
    • Comparative assessment of algorithm and hardware performance in different application contexts.

    Main Results:

    • Identified key AI algorithms and their suitability for various biomedical signal classification tasks.
    • Reviewed diverse AI hardware architectures and circuit designs tailored for specific biomedical applications.
    • Highlighted the pros and cons of different AI approaches in terms of accuracy, efficiency, and power consumption.
    • Detailed current research trends and future directions in AI-based biomedical processing.

    Conclusions:

    • AI-based algorithms and hardware are rapidly advancing the field of biomedical processing.
    • The selection of appropriate AI techniques and hardware architectures is crucial for optimizing performance in specific applications like ECG and EEG analysis.
    • Future research should focus on developing more efficient, integrated, and application-specific AI solutions for healthcare.