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Qinhuangdao Economic and Technological Development Zone
Qinhuangdao Shangben Medical Equipment Technology Co., Ltd
Qinhuangdao Economic and Technological Development Zone

Scale evaluation layerIntegrating 17 international standard scales such as MMSE, MOCA, ADL, etc., guiding participants to complete 6 dimensions of tasks including memory, language, executive function, and visual spatial ability through touch based human-machine dialogue, synchronously recording behavioral data, covering core cognitive function assessment dimensions.
EEG monitoring layerUsing non-invasive brain computer interface technology, the dynamic changes of alpha waves, beta waves, and theta waves are collected in real-time through high-precision electrodes. Nonlinear feature parameters such as singular value decomposition matrix, complexity, approximate entropy, and wavelet entropy are extracted to capture early brain electrophysiological abnormalities of cognitive impairment and identify risks ahead of traditional methods.
Equipped with the variable scale maximum correlation minimum redundancy algorithm, the subjective data of the scale and the objective indicators of EEG are fused and modeled, effectively eliminating human evaluation bias. The clinical diagnosis is consistent and high, and the error rate is reduced by 60% compared to a single scale evaluation. The entire screening process can be completed in 10-15 minutes, and a quantitative evaluation report can be generated in real time, including cognitive domain scores, abnormal indicator labeling, risk level assessment, and personalized intervention recommendations.
Core advantage: Refactoring the efficiency and experience of cognitive screening
1. Breakthrough in objectivity and precision
Non invasive design, no need for blood draw or fasting, can be detected by wearing a lightweight EEG collector, with high acceptance among elderly patients;
Touch based human-computer interaction+one click start operation, real-time display of detection status on LED LCD screen, basic medical staff can get started after simple training;
Adapt to diverse scenarios such as hospitals, communities, and elderly care centers.
Support the establishment of patient records and long-term follow-up data tracking, which can form a "screening intervention rehabilitation" loop with ADTS memory impairment training system and ADMS cognitive neural regulation system. AI algorithms dynamically optimize rehabilitation plans based on EEG characteristics;
Data sampling rate, supporting multi-dimensional data storage, providing standardized datasets for academic research related to cognitive impairment.
Routine cognitive health screening for elderly people aged 60 and above;
Individuals with suspected symptoms such as memory loss, visual spatial impairment, decreased executive ability, and language barriers;
Monitoring of disease progression and evaluation of intervention effectiveness in patients with cognitive impairment;
Middle aged and elderly individuals who are concerned about their own brain health, as well as high-risk individuals with a family history of genetics.
Third class hospitals: neurology, geriatrics, psychiatry, clinical diagnosis and differential diagnosis;
Primary healthcare: large-scale population screening and risk stratification in community health service centers and township health centers;
Professional institutions: Mental health centers, rehabilitation hospitals, patient grading management and classification evaluation;
Health management: specialized assessment and health management services for cognitive health in physical examination centers and elderly care communities.