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Updated: May 2, 2026

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A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
Published on: July 7, 2023
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Performance Evaluation of SmartBrain: A Wearable PET System for Human Brain Imaging.
Han Liu1,2, Wenkang Qu1, Da Liang1
1Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China.
Summary
SmartBrain, a wearable brain PET system, offers real-time cerebral metabolic activity imaging. This novel platform enables naturalistic brain imaging and supports diagnosis of neurologic disorders.
Area of Science:
- Medical Imaging
- Neuroscience
- Nuclear Medicine
Background:
- Conventional brain Positron Emission Tomography (PET) requires stationary subjects, limiting naturalistic brain research.
- Cerebral metabolic activity imaging is crucial for understanding brain function and neurological disorders.
Purpose of the Study:
- To evaluate the performance of SmartBrain, a novel wearable brain PET system for real-time imaging.
- To assess the suitability of SmartBrain for clinical brain research and diagnosis of neurological disorders.
Main Methods:
- SmartBrain utilizes 192 detectors with lutetium-yttrium oxyorthosilicate crystal arrays and silicon photomultiplier arrays.
- Physical performance was evaluated using the National Electrical Manufacturers Association (NEMA) NU 2-2018 standard.
- Imaging studies included 18F-FDG phantoms and dynamic rat imaging, alongside a healthy volunteer scan.
Main Results:
- Achieved spatial resolution of 2.29 mm, sensitivity of 720.2 cps/MBq, and time-of-flight resolution of 234 ps.
- Demonstrated clear visualization of brain structures in phantoms and resolved rods as small as 1.7 mm.
- Image quality metrics met NEMA standards, with contrast recovery coefficients up to 89.4% and background variability of 11.3%.
Conclusions:
- SmartBrain is a suitable wearable PET platform for clinical brain research, capable of visualizing brain structures.
- Its mobile and wearable nature provides unique opportunities for naturalistic brain imaging.
- Potential for future clinical applications in diagnosing and managing neurological disorders.

