Detection device and manufacturing method thereof

Abstract

The invention relates to a detection device and a manufacturing method thereof, and the device comprises an electrode assembly which is used for receiving an electroencephalogram signal of a detected object; a light source assembly used for emitting light waves to the detected object; a photoelectric detection component used for receiving an optical signal obtained after the optical waves are reflected or scattered by the brain of the detected object, and performing photoelectric conversion on the optical signal to obtain a brain oxygen detection signal; a processing component used for respectively processing the electroencephalogram signal and the brain oxygen detection signal and respectively acquiring a first detection result and a second detection result of the brain of the detected object; and a flexible substrate used for bearing the electrode assembly, the light source assembly and the photoelectric detection assembly. The multi-channel electroencephalogram and brain oxygen synchronous same-area detection is performed on the detected object, and the flexible substrate is adopted for bearing, so that higher time resolution and spatial resolution can be ensured, the detection accuracy is improved, the natural integration of the detection device and the detected object is realized, the anti-interference capability is effectively improved, and the robustness is good.

Description

technical field [0001] The present disclosure relates to the technical field of medical detection, in particular to a detection device and a manufacturing method thereof. Background technique [0002] As a new means of information interaction, brain-computer interface can directly control external devices by detecting and decoding brain activity signals, and establish a real-time two-way information transmission channel between the brain and the outside world, which has important value and broad prospects. [0003] At present, the mainstream forms of non-invasive brain-computer interface front-end acquisition are mostly based on electroencephalogram (Electroencephalogram, EEG) and functional near-infrared spectroscopy (functional near-infrared spectroscopy, fNIRS). The two technologies are different from EEG and brain oxygen. The physiological level reflects brain activity. The former has the characteristics of high temporal resolution, but low spatial resolution, and is su...

AI Technical Summary

Problems solved by technology

On the one hand, traditional equipment is rigid and cannot form a natural integration with the soft object to be detected, resulting in low user comfort

On the other hand, traditional equipment has the problem of motion artifacts. Interference is introduced due to the movement or vibration of the electrode relative to the detected object, which causes a short-term signal change, resulting in low quality of the collected signal and poor anti-interference ability, which is difficult to meet the needs of daily life. needs

Therefore, a multi-modal brain-computer interface front-end acquisition device that can achieve natural integration with the detected object, adapt to various daily life scenarios and have higher precision remains to be developed

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