Quantitative Statistical Analysis

Comprehensive and Advanced Quantitative EEG Statistical Analysis

EEG activity contains rich information, but due to the lack of high-precision quantitative analysis algorithms, EEG has long relied on manual visual inspection for qualitative analysis, placing significant pressure on doctors' subjective judgment. In recent years, the widespread use of multi-channel, high-sampling-rate long-term video EEG technology has posed greater challenges to conventional visual inspection-based analysis methods. Through digital signal processing technology, quantitative analysis methods deeply analyze EEG signals, precisely statistics and visually present the epileptic characteristics of EEG signals, better assisting doctors in making scientific judgments about relevant pathological patterns and providing effective help for clinical diagnosis and research.

Quantitative Statistical Analysis
Rich Clinical Applications

The system uses statistics, data science, and computer technology to perform quantitative statistical analysis of EEG signals, intuitively displaying patients' brain function status through rich trend graphs, tables, and indicators, helping doctors easily identify key features, quickly locate data segments requiring in-depth analysis, and more accurately assess disease types and severity. The table shows several applicable application directions.

Epilepsy Diagnosis
Coma Assessment
Cerebrovascular Disease
Sleep Monitoring
Brain Function Assessment
Anesthesia Monitoring

Epilepsy Diagnosis

Assist doctors in quantitative analysis of abnormal discharge activities

Determine seizure type and frequency

  • Discharge frequency map
  • Average amplitude
  • Discharge index

Initial localization of epileptic focus

  • Discharge voltage topography
  • Average discharge waveform
  • Source localization results

Coma Assessment

Quantitative analysis of EEG activity to assist doctors in assessing consciousness disorder severity and coma state

  • Burst suppression ratio
  • Inter-burst interval
  • Bursts per minute

Cerebrovascular Disease

Frequency analysis of corresponding frequency bands to display cerebral blood flow and cerebral oxygen metabolism, assisting doctors in judging neurological function prognosis

  • Relative alpha histogram
  • Relative alpha variation score

Sleep Monitoring

Assist doctors in analyzing patient sleep activity

Analyze sleep structure

  • Sleep structure diagram

Sleep stage & sleep quality assessment

  • α/δ power ratio

Brain Function Assessment

Analyze frequency and amplitude of corresponding frequency band activities to assist doctors in assessing brain function status

  • α/δ power ratio

Anesthesia Monitoring

Quantitative analysis of abnormal EEG phenomena to assist doctors in judging anesthesia depth

  • Burst-suppression pattern
  • Inter-burst interval
Rich Clinical Applications
Statistics Empowering Medicine
Statistics Empowering Medicine

Automatic Artifact Removal: Comprehensive artifact removal function clears various artifacts from different sources, ensuring high-quality real data input, making statistical indicators closer to brain signal changes.

Support for Multiple Data Formats: Such as Japanese Nihon Kohden .EEG format, European common data format .edf, .rda format supported by profusion, etc.

Quantitative Statistical Analysis: Using advanced statistical analysis algorithms to output high-precision statistical analysis results.

Convenient Operation Interface: Streamlined steps, one-click processing of raw EEG data, panoramic display of quantitative statistical analysis results.

Quick Analysis Completion: Efficient algorithms process large-scale EEG data, saving manual reading time.