Buyer Name: University Of Edinburgh
Buyer Address: Charles Stewart House, 9-16 Chambers Street, Edinburgh, UKM75, EH1 1HT, United Kingdom
Contact Email: aoughton@ed.ac.uk
Contact Telephone: +44 1316502759
Buyer Name: University Of Edinburgh
Buyer Address: Charles Stewart House, 9-16 Chambers Street, Edinburgh, UKM75, EH1 1HT, United Kingdom
Contact Email: aoughton@ed.ac.uk
Contact Telephone: +44 1316502759
The University of Edinburgh is intending to award a contract without prior publication for a mobile EEG system to Ant Neuro UK due to competition being absent for technical reasons.
No linked documents found for this notice.
Lot Description: The University of Edinburgh is intending to award a contract without prior publication for a mobile EEG system to Ant Neuro UK due to competition being absent for technical reasons. 1. High-Density EEG Capability (128 Channels Minimum) · Minimum of 128 recording channels · Uniform high-density scalp coverage · Research-grade signal quality suitable for: o Spatial filtering o Source localisation o Fine-grained analysis of cortical dynamics · Stable impedance control across all electrodes · Low-noise amplification appropriate for high-resolution modelling 2. Fully Mobile, Research-Grade System for Immersive VR The research design includes naturalistic movement and immersive VR paradigms. The EEG system must therefore be: · Fully mobile and wireless · Lightweight and body-worn (e.g., backpack-mounted amplifier) · Compatible with VR head-mounted displays (HMDs) without interfering with: o Headset fit o Participant comfort o Range of motion · Resistant to motion-induced artefacts · Designed with low-profile electrodes and integrated wiring · Mechanically stable during head and body movement 3. Precise Synchronisation with VR Systems The system must support robust and low-latency synchronisation between EEG data and VR events. Required features include: · Hardware-level synchronisation (e.g., TTL triggers) · Network-based synchronisation (e.g., Lab Streaming Layer – LSL) · Millisecond-level timing precision · Reliable integration with VR software platforms 4. Medical-Grade Certification Given the potential progression of this research toward clinical translation, the EEG system must: · Hold valid medical CE certification · Comply with applicable medical device regulatory standards · Be suitable for future clinical research use without requiring hardware replacement
Lot 1 Has Options: No
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"date": "2026-02-25T14:50:30Z",
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"description": "The University of Edinburgh is intending to award a contract without prior publication for a mobile EEG system to Ant Neuro UK due to competition being absent for technical reasons.\n1. High-Density EEG Capability (128 Channels Minimum)\n\u00b7 Minimum of 128 recording channels\n\u00b7 Uniform high-density scalp coverage\n\u00b7 Research-grade signal quality suitable for:\no Spatial filtering\no Source localisation\no Fine-grained analysis of cortical dynamics\n\u00b7 Stable impedance control across all electrodes\n\u00b7 Low-noise amplification appropriate for high-resolution modelling\n2. Fully Mobile, Research-Grade System for Immersive VR\nThe research design includes naturalistic movement and immersive VR paradigms. The EEG system must therefore be:\n\u00b7 Fully mobile and wireless\n\u00b7 Lightweight and body-worn (e.g., backpack-mounted amplifier)\n\u00b7 Compatible with VR head-mounted displays (HMDs) without interfering with:\no Headset fit\no Participant comfort\no Range of motion\n\u00b7 Resistant to motion-induced artefacts\n\u00b7 Designed with low-profile electrodes and integrated wiring\n\u00b7 Mechanically stable during head and body movement\n3. Precise Synchronisation with VR Systems\nThe system must support robust and low-latency synchronisation between EEG data and VR events. Required features include:\n\u00b7 Hardware-level synchronisation (e.g., TTL triggers)\n\u00b7 Network-based synchronisation (e.g., Lab Streaming Layer \u2013 LSL)\n\u00b7 Millisecond-level timing precision\n\u00b7 Reliable integration with VR software platforms\n4. Medical-Grade Certification\nGiven the potential progression of this research toward clinical translation, the EEG system must:\n\u00b7 Hold valid medical CE certification\n\u00b7 Comply with applicable medical device regulatory standards\n\u00b7 Be suitable for future clinical research use without requiring hardware replacement",
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"status": "complete",
"title": "VEAT Notice for Mobile EEG"
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