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EEG and EMG Devices Market to Grow by USD 793.5 Million (2024-2028) as Rising Neurological Conditions Drive Demand, AI Impact on Market Trends – Technavio Report

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NEW YORK, Sept. 20, 2024 /PRNewswire/ — Report with the AI impact on market trends- The global EEG and EMG devices market size is estimated to grow by USD 793.5 million from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of almost 7.84%  during the forecast period. Increasing prevalence of neurological conditions is driving market growth, with a trend towards increasing popularity of hybrid brain-computer interface techniques. However, high costs associated with EEG and EMG procedures  poses a challenge. Key market players include Advanced Brain Monitoring Inc., Allengers Medical Systems Ltd., Ambu AS, Bio Signal Group Corp., BioSerenity, Brain Scientific Inc., BrainScope Co. Inc., Cadwell Industries Inc., Ceribell Inc., Compumedics Ltd., Contec Medical Systems Co. Ltd., DEYMED Diagnostic sro, General Electric Co., iMediSync Inc., Koninklijke Philips N.V., Masimo Corp., mBrainTrain LLC, Medtronic Plc, Micromed SpA, Natus Medical Inc., NeuroWave Systems Inc., Nihon Kohden Corp., Noraxon USA Inc., and Zeto Inc..

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Eeg And Emg Devices Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 7.84%

Market growth 2024-2028

USD 793.5 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

7.12

Regional analysis

North America, Europe, Asia, and Rest of World (ROW)

Performing market contribution

North America at 39%

Key countries

US, Germany, Japan, France, and UK

Key companies profiled

Advanced Brain Monitoring Inc., Allengers Medical Systems Ltd., Ambu AS, Bio Signal Group Corp., BioSerenity, Brain Scientific Inc., BrainScope Co. Inc., Cadwell Industries Inc., Ceribell Inc., Compumedics Ltd., Contec Medical Systems Co. Ltd., DEYMED Diagnostic sro, General Electric Co., iMediSync Inc., Koninklijke Philips N.V., Masimo Corp., mBrainTrain LLC, Medtronic Plc, Micromed SpA, Natus Medical Inc., NeuroWave Systems Inc., Nihon Kohden Corp., Noraxon USA Inc., and Zeto Inc.

Market Driver

The hybrid brain-computer interface (hBCI) market is witnessing significant growth due to the increasing demand for equipment combining multiple modalities in brain imaging and prosthesis control. Hybrid systems, such as EEG-EMG, EEG-EOG, and EEG-fNIRS, offer numerous benefits over single brain acquisition modalities. For instance, the combination of EEG and EMG increases the number of brain commands for control applications, enhances classification accuracy, and reduces signal detection time. EEG, known for its ease of use and fast temporal resolution, is frequently used with other brain/non-brain signal acquisition modalities. Applications of EEG-EOG-based brain-computer interfaces include drowsiness detection, wheelchair control, and ocular artifact removal from EEG data. EOG increases the number of commands and removes artifacts for improved accuracy, while EEG removes motion artifacts and enhances classification accuracy. EEG-EMG combinations have been used for tetraplegic patients, artificial arm control for above-knee amputees, and determining muscle fatigue levels. EEG-fNIRS interfaces enable paralyzed patients to communicate and control external devices using their brain functions. EEG-fNIRS enhances classification accuracy and increases the number of control commands for brain-computer interface systems. EEG-NIRS is also gaining prominence as it can simultaneously decode electrical and hemodynamic brain activities. EEG-MEG modalities provide dynamic information, which can determine the precise definition of cognitive processes’ timing and location. For example, EEG-MEG hybrids can be used for non-invasive dynamic imaging of the epileptic brain to improve seizure understanding. The various advantages of hBCI over single modality brain-computer interfaces are driving their popularity in the global EEG and EMG devices market, fueling its growth during the forecast period. 

The EEG and EMG devices market is witnessing significant growth due to the increasing demand for brainwave monitoring devices. Minimally invasive techniques using software for analyzing brain function, cognition, and sensory processing are trending. However, disturbances from surroundings can affect the accuracy of readings. Surface electrodes are commonly used in EEG and sEMG, which measure brain waves and human muscle biopotentials respectively. Neurological disorders like migraines, Alzheimer’s disease, multiple sclerosis, Parkinson’s disease, epilepsy, and sleeping disorders are driving the market. Flexible headbands, such as the Dreem headband, offer comfort for long-term use. Neurophysiology equipment includes EEG and EMG devices with electrodes, amplifiers, filters, and computer interfaces for analyzing brain wave patterns. Cloud devices enable remote monitoring and access to data. Conditions like seizures, head injuries, dizziness, headaches, and brain tumors are also being addressed by these devices.

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Market Challenges

The global EEG and EMG devices market faces significant challenges due to the high costs associated with these neurodiagnostic tools and related procedures. In healthcare, a substantial portion of the budget goes towards manufacturing costs, including plant, machinery, and raw materials. These expenses can hinder the growth of the healthcare equipment market, including the EEG and EMG market. EEG and EMG devices are primarily utilized for neurodiagnostic purposes, yet their high costs can burden end-users and patients. For example, the cost of an EEG headset ranges from USD100 to USD25,000, depending on the number of channels. An EEG headset with 5-14 channels costs between USD100 and USD1,000, while one with 64 channels can cost up to USD25,000. Additional expenses for end-users include preventative maintenance, parts, labor, and technician salaries. Furthermore, the high cost of EEG and EMG procedures can limit their use in developing countries. A standard EEG procedure costs between USD200 and USD700 for patients without insurance, while extended EEGs can cost USD1,000USD3,000 or more. EMG procedures cost USD150USD500 per extremity, with additional costs for hospital stays, facilities, and physician and staff fees. The cost of these procedures varies depending on the hospital setting and healthcare infrastructure. These high costs can hinder the adoption of EEG and EMG devices and procedures, particularly in developing countries. As a result, the global EEG and EMG devices market may experience limited growth during the forecast period.The Electroencephalography (EEG) and Electromyography (EMG) devices market faces several challenges in diagnosing neurological disorders. Skeletal muscles and their electrical activity, as measured by EMG, can interfere with EEG signals from the brain. Cables and signal amplifiers must be carefully managed to minimize interference. Neurological disorders in pediatric and geriatric populations require minimally invasive procedures, making portable EEG machines essential. The coronavirus disease has increased demand for remote diagnostic procedures. EEG and EMG devices must accurately capture electrical impulses from the brain and muscles, even during sleep disorders or muscle disorders like dystrophy, polymyositis, or myasthenia gravis. Real-time review and daily reporting are crucial for effective diagnosis and preventive care. However, challenges include sampling errors, poor spatial resolution, and interference from electrical impulses in muscles. Automatic data backfill and complete data sets are necessary for accurate diagnosis. Brain infections and strokes, as well as motor neuron disorders like amyotrophic lateral sclerosis, require precise diagnosis using EEG and EMG. Wearable devices and computer software are essential for capturing EEG data and providing real-time review, but they must be reliable and accurate. Photic flash and other diagnostic procedures require careful calibration and interpretation. DBMD and other diagnostic tools must be user-friendly and adaptable to various patient populations and conditions.

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Segment Overview

This eeg and emg devices market report extensively covers market segmentation by  

Product 1.1 EEG devices1.2 EMG devicesModality 2.1 Standalone2.2 PortableGeography 3.1 North America3.2 Europe3.3 Asia3.4 Rest of World (ROW)

1.1 EEG devices-  The EEG and EMG devices market refers to the industry that produces and sells Electroencephalography (EEG) and Electromyography (EMG) equipment. These devices measure and record electrical activity in the brain (EEG) and muscles (EMG). They are used in various applications, including clinical diagnosis, research, and neurofeedback therapy. The market is driven by factors such as increasing prevalence of neurological disorders, technological advancements, and growing demand for non-invasive diagnostic tools. Companies in this market include Natus Medical, Neurotechnology, and Compumedics Limited.

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Research Analysis

Electroencephalogram (EEG) equipment is utilized for recording the electrical activity of the brain through electrodes placed on the scalp. Amplifiers and filters are essential components that process and enhance the electrical signals. Brain wave patterns, such as alpha, beta, theta, and delta, are identified and analyzed for various diagnostic procedures, including seizures, strokes, encephalopathy, and sleep disorders. A computer or cloud device processes the data in real-time, providing complete data sets with automatic backfill and daily reporting. EEG data capture involves measuring electrical impulses from the brain, while Electromyography (EMG) records muscle activity and electrical signals from motor neurons. Minimally invasive EEG and EMG devices offer enhanced patient comfort and accuracy. Brainwave monitoring devices provide valuable insights into the functioning of the brain and muscles, contributing significantly to healthcare and research.

Market Research Overview

Electroencephalogram (EEG) equipment is used to record electrical activity directly from the brain. The system includes electrodes, amplifiers, filters, and a computer or cloud device for data analysis. EEG is valuable in diagnosing conditions such as seizures, epilepsy, head injuries, dizziness, and headaches, as well as brain tumors and sleeping disorders. Electromyography (EMG) equipment, another neurodiagnostic tool, measures electrical activity from skeletal muscles, aiding in the diagnosis of neurological disorders like strokes, brain damage, encephalopathy, and various muscle disorders such as dystrophy, polymyositis, and myasthenia gravis. Both EEG and EMG involve electrical impulses and signal amplification, with devices ranging from minimally invasive to portable and wearable. Conditions like narcolepsy, brain infection, and coronavirus disease can also be assessed using these technologies. Preventive care and real-time review are essential features of modern EEG and EMG systems, ensuring complete data sets for accurate diagnosis and daily reporting.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ProductEEG DevicesEMG DevicesModalityStandalonePortableGeographyNorth AmericaEuropeAsiaRest Of World (ROW)

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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CM Global Services Announces Project Santos, a Planned 50-Megawatt AI Data Center Campus in ERCOT South

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CM Global Services targets a site and engages with strategic partners to become operational in the AI data center space.

DENVER, July 23, 2026 /PRNewswire/ — CM Global Services, LLC (CMGS) today announced Project Santos, its plan to develop a 50-megawatt AI data center campus for a site in the ERCOT South grid zone. CMGS is a long-standing strategic partner of Compass Mining, Inc. and is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. The announcement was made by Shanon Squires, Chief Mining Officer of Compass Mining, during a panel on bitcoin mining companies diversifying into AI infrastructure at the Energy Investors Forum.

CMGS intends to deliver Project Santos in two phases. The first phase, a 7-megawatt, 5 MW of IT Load Tier III facility purpose-built for AI inference workloads, is targeted for completion by the end of the first quarter of 2027. A subsequent 43-megawatt expansion, bringing the site to its fully planned 50-megawatt capacity

“This is a disciplined next step for CM Global Services, drawing upon its expertise in standing up infrastructure, while Compass Mining simultaneously continues to be the gold standard in Bitcoin mining-related services,” said Shanon Squires. “Bitcoin mining remains the core of Compass Mining. CMGS’ Project Santos reflects the power infrastructure and site development discipline CMGS built over years, and we’re pursuing this initiative on our own terms.”

“This is a new step forward for CMGS, as we continue building for the future,” said Vishnu Mackenchery, Managing Director at CMGS. “Project Santos marks our entry into AI infrastructure and inference, and we’re charting our own path, moving fast to get there.”

GPU-as-a-Service for Enterprise and Neocloud Customers

Project Santos is being developed as a GPU-as-a-Service (GPUaaS) platform. Rather than requiring customers to bring their own hardware, CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer directly to off-takers as dedicated, single-tenant or multi-tenant compute. The company’s ideal customer profile is AI enterprise organizations seeking dedicated capacity, and CMGS is also in active discussions with neocloud providers.

Project Status

Site: located in the ERCOT South grid zoneCompute: CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer as GPU-as-a-Service to off-takersTotal planned capacity: 50 megawatts, 35 MW of IT to be delivered in two phasesPhase 1: 7 megawatts, 5 MW of IT load Tier III, targeted for completion by end of Q1Phase 2: adding a 43-megawatt expansion, 30 MW of IT load with utility-supported expansionCustomer profile: AI enterprise companies are the ideal customer; CMGS is also in active discussions with neocloud providers

About CMGS

CM Global Services (CMGS) is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. CMGS supports clients with end-to-end logistics solutions, hardware procurement, and site-level execution for next-generation compute infrastructure.

About CMGS and Compass Mining Partnership

Compass Mining serves as a strategic partner and advisor to CM Global Services (CMGS), supporting its growth across global logistics, hardware sales, and infrastructure services. As CMGS expands its focus into AI infrastructure and site development, Compass Mining’s guidance helps shape its strategic direction and execution. Together, the two organizations continue to collaborate on delivering end-to-end solutions for clients building next-generation compute infrastructure.

Disclaimer

This communication contains forward-looking statements relating to a potential closing of a transaction. There can be no assurance that the proposed transaction will be completed on the terms described, or at all. Forward-looking statements are subject to significant business, economic, and competitive uncertainties, many of which are beyond our control. This communication is for informational purposes only and does not constitute an offer to sell, or a solicitation of an offer to buy, any securities of the company. Furthermore, investing in or engaging with our company involves substantial risk, and past performance or previous communications are not indicative of future results. There is no guarantee, assurance, or warranty that any specific financial outcome, return on investment, or overall results will be achieved. Actual results may differ materially and adversely from those expressed, projected, or implied in any forward-looking statements. Investors and stakeholders should not rely solely on preliminary press releases regarding potential transactions or projected financial metrics when making investment decisions. We undertake no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by applicable securities laws. Prospective investors are strongly encouraged to conduct their own independent due diligence and consult with a qualified, independent financial or legal advisor prior to making any investment.

Contact
All inquiries can be made to: Santos@CMGlobalServices.io 

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Advantech Unveils Next-Gen AI Infrastructure Solutions Powered by AMD EPYC™ 9006 Series Processors

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TAIPEI, July 23, 2026 /PRNewswire/ — Advantech, a global leader in industrial edge computing and edge AI solutions, today announced its next-generation server and network platforms powered by the latest AMD EPYC™ 9006 Series processors. Designed to accelerate AI infrastructure from the data center to the intelligent edge, Advantech’s 6th Gen AMD EPYC-powered servers deliver the performance, scalability, and reliability organizations need for AI, HPC, storage, networking, and mission-critical industrial workloads.

At AMD Advancing AI 2026, Advantech will showcase its latest 2U 4-node edge server and EATX server board, demonstrating how its workload-ready server solutions enable customers to build scalable, high-performance AI and edge computing infrastructure with greater deployment confidence.

Continuing Performance Leadership with AMD EPYC 9006 Series Processors

6th Gen AMD EPYC server CPUs bring continued leadership in performance, efficiency, memory bandwidth, and next-generation I/O. Featuring up to 128 cores and 256 threads, advanced 2nm process technology, “Zen 6” and “Zen 6c” architecture, up to 20% average generational performance uplift, and up to 20% performance-per-watt improvement, AMD EPYC 9006 Series processors are designed to support more virtual machines, higher throughput, and better system efficiency. With up to 128 PCIe Gen6 lanes per CPU, CXL™ 3.1 memory expansion, and support for DDR5 8000NHz and MRDIMM 12800MHz for high memory bandwidth, Advantech edge server solutions deliver balanced compute, memory, and I/O performance for next-generation AI, telco, edge, and storage infrastructure.

Key Features Include:

Up to 128 cores / 256 threads with “Zen 6” and “Zen 6c” architectureAdvanced 2nm process technology for improved performance and efficiencyUp to 20% average generational performance uplift and 20% performance-per-watt improvementDDR5-8000 and MRDIMM 12.8G support for higher memory bandwidth and capacityPCIe® Gen6 scalability: up to 128 lanes for 1 CPU and up to 196 lanes for 2 CPUsCXL™ 3.1 support for optimized memory expansion

Comprehensive Edge Server Solutions from Edge to Cloud

Advantech’s edge server portfolio powered by AMD EPYC™ 9006 Series processors delivers a complete board-to-system lineup for AI infrastructure, data centers, cloud, HCI, HPC, edge computing, industrial applications, and high-performance networking. The first-wave portfolio includes:
(1) The SKY-642E5, 4U MGX GPU server, for large-scale AI acceleration
(2) The SKY-722E5, 2U DC-MHS server with DC-SCM support, for modular data center and edge AI deployments
(3) The SKY-712E5, 1U DC-MHS server, supporting HHHL and FH-3/4L expansion cards for high-density enterprise edge and cloud workloads
(4) The SKY-822E5, 2U short-depth DC-SCM modular server, supporting 2–3 dual-slot GPU cards for space-constrained edge data centers
(5) The SKY-924E5F, 2U 4-node front-access server, for distributed edge computing,
(6) The ASMB-982 & ASMB-832 server boards for flexible, high-expandability system designs.

These new platforms also support PCIe Gen6 scalability, GPU-optimized architecture, advanced DDR5/MRDIMM memory, and AFA-ready high-density E1.S/E3.S NVMe SSD storage to meet low-latency data access, high-throughput storage performance, and scalable infrastructure for data-intensive AI and edge-cloud workloads.

Expanding the portfolio further, Advantech also introduces the FWA-6084, the 2U network appliance and is designed for demanding network security and edge AI workloads. It features DDR5/MRDIMM memory capability, eight Gen6 network module cards, and one PCIe Gen5 x16 slot for GPU or add-on card expansion. It is well positioned to support line-speed multiple 200G network workloads without compromise.

Together with Advantech’s unique service advantages—including 3-5-10 service guarantee, strict revision control, stable component supply, worldwide local support, and custom-ready integration—the new portfolio supports customers reduce deployment risk, secure long-term product roadmaps, and accelerate workload-ready AI and edge-cloud infrastructure from concept to deployment.

Explore more product information, please contact us or visit the Advantech x AMD website.

About Advantech

Advantech is a global leader in IoT intelligent systems and embedded platforms, driven by its vision of “Enabling an Intelligent Planet.” To address the growth of edge computing and AI, Advantech focuses on five key markets: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. By integrating edge computing hardware, WISE-IoT software, sector-specific AI solutions, and domain expertise, Advantech creates an orchestration model that connects industrial ecosystems and accelerates industrial intelligence with partners and customers.(www.advantech.com

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SOURCE Advantech Co., Ltd.

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MulticoreWare and AMD Collaborate to Advance Physical AI and Autonomous Robotics on AMD Platforms

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Companies Demonstrated Real-Time Multimodal AI and Vision-Language-Action Workflows on AMD Ryzen™ AI Platforms at AMD Advancing AI 2026

SAN JOSE, Calif., July 23, 2026 /PRNewswire/ — MulticoreWare, Inc., a global technology company specializing in AI software solutions, physical AI, accelerated computing, and engineering services, today announced its ongoing collaboration with AMD to advance autonomous robotics and edge intelligence on AMD platforms.

As part of this collaboration, MulticoreWare joined AMD at AMD Advancing AI 2026 to present ‘Enabling Physical AI on AMD’, demonstrating how advanced vision, language, and action (VLA) models can drive real-time robotic intelligence on AMD Ryzen™ AI Embedded platforms.

As AI increasingly moves from the cloud into robots, autonomous systems, and intelligent edge devices, organizations need efficient ways to run sophisticated AI models closer to where decisions need to be made. Together, AMD and MulticoreWare are helping developers bring advanced perception, reasoning, and action capabilities to AMD-powered systems.

At AMD Advancing AI 2026, AMD and MulticoreWare demonstrated how multimodal VLA models run on AMD Ryzen™ AI Embedded integrated GPUs using AMD ROCm™, enabling robots to perceive, reason, and act in real time. The session showcased practical guidance for AI developers, robotics engineers, and innovators building next-generation intelligent machines on AMD Embedded platforms.

“Physical AI is reshaping how machines perceive, decide and act in the real world,” said Sumit Shah, Head of Product Management and Marketing, Adaptive and Embedded Computing Group, AMD. “AMD Ryzen™ AI Embedded X100 Series processors deliver a scalable, open x86 Embedded platform that unifies AI, real-time control and industrial reliability to enable the generation of autonomous systems without locking developers into a single compute architecture or software stack.”

“A Physical AI system depends on a tightly integrated loop between perception and actuation. It must operate in real time, on real hardware, and in environments that are inherently unpredictable,” said Vish Rajalingam, VP & GM, Mobility and Transportation BU at MulticoreWare. “That makes it a hardware-software co-design challenge, not simply an AI inference problem. Building on the open-source AMD Robotics Software Suite, we work closely with OEMs to optimize the entire stack so that latency, reliability and accuracy targets are consistently achieved in production environments. That’s the integration MulticoreWare and AMD deliver together to move intelligent robotic systems from prototype to deployment.”

This session builds on more than 15 years of collaboration, with MulticoreWare delivering software optimization, AI, and engineering expertise across the AMD ecosystem, including Ryzen™ AI, Ryzen™, AMD EPYC™, AMD Instinct™, AMD Radeon™, and adaptive computing technologies.

About MulticoreWare

MulticoreWare, Inc. is a global technology company delivering AI software solutions and engineering services that accelerate innovation in Physical AI, Agentic AI, Robotics, Edge Intelligence, and Accelerated Computing. With expertise in multimodal AI, Vision-Language-Action (VLA) models, sensor perception and fusion, AI optimization, embedded systems, and high-performance software, MulticoreWare helps customers transform advanced AI technologies into production-ready solutions. Its innovations power applications across automotive, robotics, industrial automation, smart cities, healthcare, defense, and intelligent edge devices, while its video codec technologies enable next-generation video experiences worldwide.
www.multicorewareinc.com

AMD, the AMD Arrow logo, EPYC, Instinct, Radeon, Ryzen and combinations thereof are trademarks of Advanced Micro Devices, Inc.

Contact:
Suchithra Thyagarajan
VP – Corporate Marketing
marcom@multicorewareinc.com 

 

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