Stroke patient voice communication care control system and method based on brain-computer interface

Abstract

The invention discloses a stroke patient voice communication care control system and method based on a brain-computer interface. The system comprises a visual stimulation module, an EEG signal collection module used for collecting an EEG signal in real time and transmitting the EEG signal to an EEG signal analysis module, the EEG signal analysis module used for performing steady state visual evoked potential analysis and extracting EEG signal characteristics for the received EEG signal after a patient is determined to pay attention to the flashing region, transmitting the EEG signal characteristics to a voice synthesis module, forming a calling signal and transmitting the calling signal to a ward calling module, and the voice synthesis module used for synthesizing the voice and outputtingthe voice, wherein the visual stimulation module is divided into multiple flashing regions, the flashing frequency of each flashing region is different, and each flashing region is constantly bright and is used for stimulating the stroke patient to generate the EEG signal.

Description

technical field [0001] The invention belongs to the technical field of voice communication nursing control, and in particular relates to a brain-computer interface-based voice communication nursing control system and method for stroke patients. Background technique [0002] Cerebral stroke, also known as stroke or cerebrovascular accident (CVA), is an acute cerebrovascular disease, a group of brain tissue damage caused by the sudden rupture of blood vessels in the brain or the inability of blood to flow into the brain due to vascular obstruction. disease. [0003] Stroke has become one of the biggest threats to the health of middle-aged and elderly people. Stroke has the characteristics of high incidence rate, high disability rate, high mortality rate, and high recurrence rate, which seriously affects human health. The prognosis of stroke will leave different degrees of limb dysfunction, sensory impairment, speech impairment, cognitive impairment, etc. About 37.66% have sp...

AI Technical Summary

Problems solved by technology

The prognosis of stroke will leave different degrees of limb dysfunction, sensory impairment, speech impairment, cognitive impairment, etc. About 37.66% have speech impairment, which brings great difficulties to patients' daily life: (1) Speech impairment It largely leads to stroke depression, which not only reduces the quality of life of patients, but also is closely related to poor prognosis, increased mortality, impaired activities of daily living, and poor compliance with rehabilitation therapy

(2) Language barriers in stroke make it difficult for patients to communicate with family members and medical staff, and it is difficult for patients to express their care needs and physical conditions, which hinders timely and effective care from family members and medical staff

[0005] At this stage, there have been many studies on the use of brain-computer interface technology to realize text input, but the information that users want to convey is still on the screen, which causes inconvenience to information exchange; the realization of text input based on brain-computer interface technology Most of them are just to realize the text transmission between severely disabled people with language barriers and others, and they are rarely applied to the care and nursing during their hospitalization. The patient's EEG signal with communication intention is screened out, and the patient's EEG signal with communication intention is converted into Chinese voice output

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