Epilepsy warning device and epilepsy detection method

Abstract

The invention discloses an epilepsy warning device and an epilepsy detection method. The epilepsy warning device comprises a wristband and a processor, wherein a triaxial acceleration sensor and a triaxial gyroscope sensor are mounted in the wristband; the processor comprises a micro processing chip, a memory and a radio communication module, a microprocessor is connected with the triaxial acceleration sensor and the triaxial gyroscope sensor through the radio communication module, and epilepsy analysis software is cured in the memory. According to the epilepsy warning device disclosed by theinvention, the triaxial acceleration sensor and the triaxial gyroscope sensor at the wrist are used for aquiring hand movement data of a user, an unsupervised probability density estimating function or a machine learning algorithm is used, and warning is performed on abnormal actions such as epilepsy attack, falling and the like.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to an epilepsy alarm device and an epilepsy detection method. Background technique [0002] Epilepsy is a neurological disease that seriously threatens the safety of human life. When patients develop uncontrolled limb movements, the risk of environmental damage suddenly increases, and in severe cases, it may even lead to sudden death. [0003] Due to the short duration of epilepsy, monitoring, especially at night, is difficult. The human cost of monitoring epilepsy patients is too high, and in the clinical diagnosis work, it is difficult for doctors to witness the seizure status of each patient who visits the clinic. They can only understand the condition according to the patient or their family members, which may lead to bias in the judgment of the condition. There have been decades of research on the diagnosis of epilepsy, but the effect is not significant. The key is that most e...

AI Technical Summary

Problems solved by technology

The human cost of monitoring epilepsy patients is too high, and in the clinical diagnosis work, it is difficult for doctors to witness the seizure status of each patient, and they can only understand the condition according to the patients or their family members, which may lead to deviations in the judgment of the condition

There have been decades of research on the diagnosis of epilepsy, but the effect is not significant. The key is that most epilepsy patients have missed the early stage or latent period when they are diagnosed.

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