Wearable eeg signal detection device and manufacturing method thereof

Abstract

The invention relates to a wearable eeg signal detection device and a manufacturing method thereof. The device is used for being worn to the auricle of an organism to obtain eeg signals of the organism, each electrode unit of the device comprises an electrode, a substrate layer with a preset three-dimensional shape and a connecting line connected with the corresponding electrode; the substrate layer is used for bearing the electrode and the connecting line; the electrode units are attached to the target position of the organism; the electrodes are in contact with the target positions for detection to obtain detection signals; a treatment circuit performs receiving and analysis and treatment on the obtained eeg signals of the organism according to the detection signals, and when the eeg signals are determined to meet a response condition, corresponding reminding is given out; and a wearable housing is used for bearing the treatment circuit, and the structure shape of the wearable housing can cooperate with the auricle of the organism. The device provided by the embodiment of the invention can be worn for a long term, is good in wearing comfortable degree, is used for real-time monitoring of the eeg signals, and can give out reminding according to monitored results.

Description

technical field [0001] The present disclosure relates to the technical field of flexible electronics, in particular to a wearable EEG signal detection device and a manufacturing method thereof. Background technique [0002] Electrical activity is the basic physiological activity of the human body, and the onset of brain diseases is often accompanied by changes in electrical signals. Although epilepsy and other brain diseases are accompanied by changes in EEG signals during seizures, their sudden nature makes it difficult to predict the law of onset and make it difficult for patients to receive timely treatment. Some brain diseases can be diagnosed based on the EEG waveform, but the brain diseases with occult and rapid characteristics will be missed due to insufficient monitoring time of conventional EEG. [0003] For brain diseases, scholars have developed several electronic devices implanted in the body for lesion localization and postoperative evaluation. However, such de...

AI Technical Summary

Problems solved by technology

Although epilepsy and other brain diseases are accompanied by changes in EEG signals during seizures, their sudden nature makes it difficult to predict the regularity of the onset and make it difficult for patients to receive timely treatment.

Some brain diseases can be diagnosed based on the EEG waveform, but the brain diseases with occult and rapid characteristics will cause missed diagnosis due to insufficient monitoring time of conventional EEG

[0003] For brain diseases, scholars have developed several electronic devices implanted in the body for lesion localization and postoperative evaluation. However, such devices face the dual challenges of biocompatibility and surgical trauma, and it is difficult to achieve long-term monitoring

Not only that, limited by the small implantation space in the body, the integration of such devices is low, often requiring external external equipment for signal analysis and processing, which not only limits the daily activities of patients because it is not easy to carry, but also increases maintenance costs

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