FieldLine offers the HEDscan system, a wearable magnetoencephalography platform that uses room‑temperature optically‑pumped magnetometer sensors mounted on an adjustable helmet. The plug‑and‑play design eliminates cryogenic cooling and heavy shielding, enabling high‑density, real‑time neural recordings in standard clinical or research settings.
Funding
Funding not disclosed
Founders
Product
Problem
Conventional magnetoencephalography (MEG) systems rely on cryogenically cooled sensors, large fixed arrays, and heavily shielded rooms, which restrict subject movement, increase setup complexity, and limit accessibility to specialized facilities.
Solution
FieldLine’s HEDscan system replaces traditional SQUID sensors with optically‑pumped magnetometer (OPM) quantum sensors that operate at room temperature. The sensors are mounted directly on a lightweight, adjustable helmet, allowing subjects of any age or head size to move freely during recordings. The plug‑and‑play design eliminates the need for cryogenic cooling and extensive magnetic shielding, enabling deployment in standard medical rooms. A scalable architecture supports up to 512 sensors, providing high‑density coverage for detailed neural mapping. The system delivers high‑fidelity neural activity data suitable for clinical diagnostics, research studies, and brain‑computer interface applications.
Target Audience
Primary customers are neuroscientists, clinical neurophysiology labs, hospitals, and research institutions developing brain‑computer interfaces that require high‑resolution, mobile MEG recordings.
Features
- Optically‑pumped magnetometer sensors that function without cryogenic cooling
- Wearable helmet design accommodating all head sizes and permitting natural movement
- Plug‑and‑play setup with minimal calibration and no requirement for specialized shielding rooms
- Scalable sensor array up to 512 channels for high‑density brain coverage
- Real‑time neural activity recording with quantum‑level sensitivity
- Compatibility with existing clinical and research workflows, including BCI integration