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Cognitive function assessment device

NegotiableUpdate on 05/06
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Overview

The cognitive function assessment device adopts a combination of graphic drawing parallel coordinate maps and radar maps to visualize and quantify EEG and behavioral control. Through real-time recording and point distribution calculation of the graphic drawing process, as well as variable scale singular value analysis and calculation of EEG physiological parameters in the time-frequency domain, it achieves the diagnosis and early risk assessment of Alzheimer's disease!

Product Details

Product registration name: Early cognitive function screening device

Product nickname:ADDSCognitive function assessment device

认知功能评估设备

Product core positioning
ADDSCognitive function assessment deviceIt is an intelligent medical device that connects the entire process of "early screening, disease monitoring, and rehabilitation evaluation". With a three in one technology architecture of "international scale+EEG monitoring+AI analysis", it solves the three major pain points of "high missed diagnosis rate, fuzzy data, and cumbersome process" in traditional cognitive evaluation. As a clinically recognized cognitive function assessment device, it can not only accurately capture abnormal signals in the prodromal phase of cognitive impairment, but also provide traceable and comparable quantitative data links for medical staff, matching the core requirements of "precise assessment and stratified intervention" in the "Chinese Alzheimer's Disease Dementia Diagnosis and Treatment Guidelines (2025 Edition)", and becoming a core support tool for cognitive health services in medical and health management institutions.
Highlights of differentiated technology
1. AI driven bimodal evaluation technology
  • The dual track acquisition mode of "Behavioral Scale+EEG Signal" integrates six international standard scales such as MMSE and MOCA, synchronously capturing cognitive behavioral data and alpha/beta/theta EEG characteristics;

  • Equipped with a self-developed intelligent analysis engine, a cognitive function evaluation model is constructed through deep learning algorithms, which automatically eliminates subjective interference factors and improves the repeatability of evaluation results by 75%;

  • The sensitivity of identifying mild cognitive impairment (MCI) reached 92.3%, which is earlier than traditional assessment tools to detect potential risks and strive for a golden window for intervention treatment.

2. Grassroots friendly operating system
  • Non invasive none Pain detection, EEG collector made of medical grade flexible materials, suitable for special populations such as the elderly;

  • Minimalist operation process: Scan the code to create a file → Wear the device → One click start → Automatic report output, no need for professional technicians to be on duty throughout the process, community medical staff can master it in 5 minutes;

  • Efficient screening capability: The detection time is about 15 minutes, supporting batch data export and statistical analysis, suitable for large-scale population census.

3. Full scenario data interconnection capability
  • Instantly issue evaluation reports, support data tracking, and dynamically present cognitive function change curves;

  • Compliant with Class I BF medical safety standards, certified for electromagnetic compatibility, and capable of stable operation in outpatient, community, and elderly care settings.

Accurately adapting to scenarios and crowds
Core service population
  • Middle aged and elderly population: Routine cognitive health check ups for individuals aged 60 and above, and cognitive function monitoring for those living alone;

  • Suspected symptomatic individuals: identification of the causes of memory decline, language expression disorders, and decreased logical thinking in the population;

  • Rehabilitation population: Quantitative evaluation of the effectiveness of medication treatment and rehabilitation training for patients with cognitive impairment.

Key application scenarios
  • Third class hospital: rapid triage in neurology outpatient department, comprehensive evaluation in geriatrics department, and differential diagnosis in psychiatry department (to improve diagnostic efficiency);

  • Primary healthcare: Annual screening of community health service centers and cognitive function monitoring of township health centers;

  • Professional institutions: graded management of mental health centers, efficacy tracking of rehabilitation hospitals, risk assessment of dementia care institutions;

  • Health management: specialized services provided by physical examination centers, health monitoring in elderly care communities, and cognitive health screening for enterprise employees.