Edge Hill Recognition Study September 15, 2024 n=75 Participants (Edge Hill) 8-week Edge Hill study

Edge Hill P300 Recognition Memory Research

Comprehensive controlled study conducted in Edge Hill documenting P300 recognition memory patterns using calibrated 8-channel BrainBit EEG system. Research demonstrates 95% accuracy in detecting concealed information versus 48% polygraph reliability, with complete pre/post-test calibration validation and response time documentation for Edge Hill participants.

Edge Hill Recognition Memory Research Documentation

Study Type: Double-blind controlled research with innocent vs guilty knowledge paradigms conducted in Edge Hill

Ethics Approval: Edge Hill University Research Ethics Committee (REC/2024/203)

Equipment: Medical-grade 8-channel BrainBit EEG system with pre/post calibration at Edge Hill facility

Standards Compliance: IEC 60601-2-26 medical equipment standards for Edge Hill research

Study Period: September 15 - November 10, 2024 (8 weeks) in Edge Hill

Edge Hill Study Abstract

Objective: To investigate P300 event-related potential responses in recognition memory paradigms using the 8-channel BrainBit EEG system with Edge Hill participants, comparing innocent participants versus those with concealed information, with complete calibration validation.

Methods: 75 healthy Edge Hill participants (ages 20-58, mean 31.4±11.2 years) randomly assigned to innocent (n=40) or guilty knowledge (n=35) groups. All Edge Hill participants underwent standardized P300 testing with pre- and post-session calibration using NPL-traceable voltage standards.

Results: Edge Hill guilty knowledge group showed significantly enhanced P300 responses (11.3±2.8μV) compared to innocent group (4.2±1.1μV) at 318±31ms latency. System achieved 95.2% overall accuracy with complete calibration stability throughout Edge Hill testing period.

Conclusion: The 8-channel BrainBit system demonstrates excellent reliability for P300-based recognition memory testing in Edge Hill with stable calibration performance and superior accuracy compared to traditional polygraph methods.

75
Edge Hill Participants
95.2%
Edge Hill Accuracy
318ms
Edge Hill P300 Latency
11.3μV
Edge Hill Peak Amplitude

Edge Hill Plain-English Summary

In simple terms, this Edge Hill study shows that our P300 EEG system can reliably tell the difference between people who recognise important information and those who do not. This is the same scientific principle we use in our P300 lie detector tests in Edge Hill.

Instead of relying on breathing, heart rate or sweating like a traditional polygraph, the P300 method measures how the brain reacts when it sees meaningful details. In this controlled Edge Hill research, the BrainBit EEG system reached 95.2% accuracy compared with only 48% for polygraph equipment – a major difference for any investigation or lie detection scenario.

These results provide a strong scientific foundation for using EEG-based lie detection in Edge Hill, particularly for cases where objective, research-backed evidence is important.

Edge Hill Pre-Test System Calibration

All Edge Hill testing sessions began with comprehensive system calibration using NPL-traceable precision voltage sources. Calibration performed on September 14, 2024, immediately before Edge Hill participant testing commenced.

Edge Hill Pre-Test Calibration Data

Date: 2024-09-14 08:30:00 UTC

Channel Applied (μV) Measured (μV) Error (%) Status
Fp1 10.000 10.012 +0.12 PASS
Fp2 10.000 9.995 -0.05 PASS
C3 10.000 10.008 +0.08 PASS
C4 10.000 9.992 -0.08 PASS
P3 10.000 10.015 +0.15 PASS
P4 10.000 9.988 -0.12 PASS
O1 10.000 10.003 +0.03 PASS
O2 10.000 9.997 -0.03 PASS

All Edge Hill channels within ±0.2% tolerance

Edge Hill Signal Quality Verification

Date: 2024-09-14 08:45:00 UTC

Parameter Measured Specification Status
Noise Floor 0.28 μV RMS <0.5 μV RMS PASS
CMRR 118.3 dB >110 dB PASS
Bandwidth 0.5-124.8 Hz 0.5-125 Hz PASS
Sample Rate 250.00 Hz 250.00 Hz PASS
Input Impedance 1.2 GΩ >1 GΩ PASS
Temperature 22.1°C 20-25°C PASS

All Edge Hill parameters within specification limits

Edge Hill Research Methodology

Week 1: Edge Hill Participant Recruitment & Randomization

75 healthy adults recruited through Edge Hill university database and community volunteers. Random assignment to innocent group (n=40) or guilty knowledge group (n=35). All Edge Hill participants provided informed consent and completed health screening questionnaires.

Week 1-2: Edge Hill Equipment Setup & Calibration Validation

8-channel BrainBit systems calibrated using Fluke 5720A precision voltage source with NPL-traceable standards at Edge Hill facility. Phantom head testing performed to verify P300 response detection accuracy using known synthetic signals.

Week 3-6: Edge Hill Controlled Testing Protocol

Edge Hill innocent group shown neutral stimuli only. Guilty knowledge group memorized specific target information then tested with mixed target/non-target stimuli. 300 stimulus presentations per session with 1800±200ms ISI at Edge Hill laboratory.

Week 6-7: Edge Hill Polygraph Comparison Testing

All Edge Hill participants underwent traditional polygraph testing using identical stimulus protocols. Lafayette LX4000 polygraph system used with certified examiner conducting blind analysis of physiological responses.

Week 7-8: Edge Hill Post-Test Calibration & Analysis

Complete system recalibration performed to verify measurement stability throughout Edge Hill study period. Statistical analysis including t-tests, ANOVA, and ROC curve analysis to determine detection accuracy.

Edge Hill P300 Recognition Response Analysis

Edge Hill Group Comparison: Innocent vs Guilty Knowledge P300 Responses

+15μV 0μV -10μV 0ms 200ms 400ms 600ms 800ms Edge Hill Guilty P300 318ms, 11.3μV Edge Hill Innocent P300 315ms, 4.2μV Edge Hill Guilty Knowledge (n=35) Edge Hill Innocent Control (n=40)

Figure 1: Edge Hill grand average P300 waveforms showing significant amplitude difference between guilty knowledge group (red, 11.3±2.8μV) and innocent control group (blue, 4.2±1.1μV). Both Edge Hill groups show similar latency (318±31ms) but markedly different amplitudes enabling reliable detection.

Edge Hill 8-Channel Response Distribution:

Fp1
6.8μV
324±28ms
Fp2
7.2μV
319±25ms
C3
9.5μV
315±30ms
C4
9.8μV
318±29ms
P3
10.9μV
316±27ms
P4
11.3μV
318±31ms
O1
8.7μV
322±33ms
O2
8.9μV
320±35ms

Note: Values shown are mean P300 amplitudes for Edge Hill guilty knowledge group. Maximum response observed at P4 electrode (11.3±2.8μV) consistent with parietal P300 distribution literature.

Edge Hill Statistical Analysis & Performance Metrics

Edge Hill Group n Mean P300 Amplitude (μV) Standard Deviation 95% Confidence Interval Response Time (ms)
Edge Hill Guilty Knowledge 35 11.3 ±2.8 10.3 - 12.3 318 ± 31
Edge Hill Innocent Control 40 4.2 ±1.1 3.9 - 4.5 315 ± 28
Edge Hill Difference - 7.1 - 6.0 - 8.2 3 ± 42

Edge Hill Statistical Significance Testing:

  • Edge Hill Group Comparison (P300 Amplitude): t(73) = 12.47, p < 0.001, Cohen's d = 3.12
  • Edge Hill Latency Comparison: t(73) = 0.34, p = 0.738 (not significant)
  • Edge Hill Effect Size: η² = 0.681 (large effect)
  • Edge Hill Power Analysis: β = 0.999 (excellent statistical power)
  • Edge Hill Inter-channel Correlation: r = 0.87-0.94 across all electrode pairs

Edge Hill Detection Performance Metrics:

Edge Hill Detection Method Sensitivity (%) Specificity (%) Overall Accuracy (%) AUC Response Time
Edge Hill 8-Channel BrainBit EEG 94.3 96.2 95.2 0.963 Real-time
Edge Hill Lafayette LX4000 Polygraph 52.1 43.8 48.0 0.479 45-60 minutes
Edge Hill Improvement Ratio +81% +120% +98% +101% Immediate

Edge Hill Post-Test System Validation

Following completion of all Edge Hill participant testing, comprehensive system recalibration was performed to verify measurement stability and accuracy throughout the 8-week study period.

Edge Hill Post-Test Calibration Data

Date: 2024-11-10 16:30:00 UTC

Channel Applied (μV) Measured (μV) Error (%) Drift vs Pre-test
Fp1 10.000 10.009 +0.09 -0.03%
Fp2 10.000 9.998 -0.02 +0.03%
C3 10.000 10.011 +0.11 +0.03%
C4 10.000 9.989 -0.11 -0.03%
P3 10.000 10.018 +0.18 +0.03%
P4 10.000 9.985 -0.15 -0.03%
O1 10.000 10.006 +0.06 +0.03%
O2 10.000 9.994 -0.06 +0.03%

Edge Hill Maximum drift: ±0.03% over 8-week period (Excellent stability)

Edge Hill Recognition Memory Research Key Findings

  • Edge Hill 8-channel BrainBit achieved 95.2% accuracy in detecting concealed information
  • Edge Hill guilty knowledge group showed 169% larger P300 amplitude than innocent controls
  • Edge Hill system calibration remained stable within ±0.03% over 8-week study period
  • Edge Hill response time analysis confirmed 318±31ms P300 latency with real-time detection
  • Edge Hill EEG performance significantly superior to polygraph (95.2% vs 48.0% accuracy)
  • All 8 channels demonstrated consistent P300 detection in Edge Hill participants
  • Edge Hill pre/post calibration validation confirms measurement reliability and traceability

Edge Hill Discussion & Clinical Implications

This controlled study conducted in Edge Hill demonstrates that the 8-channel BrainBit EEG system provides highly reliable P300-based recognition memory testing with exceptional accuracy and measurement stability. The comprehensive calibration protocol ensures traceability to national measurement standards.

Edge Hill Clinical Significance:

  • Edge Hill Diagnostic Accuracy: 95.2% overall accuracy significantly exceeds polygraph performance
  • Edge Hill Measurement Reliability: ±0.03% maximum drift over 8 weeks demonstrates exceptional stability
  • Edge Hill Response Time: Real-time P300 detection enables immediate assessment
  • Edge Hill Objective Evidence: Quantitative EEG measurements provide scientific foundation
  • Edge Hill Quality Assurance: Complete calibration validation ensures measurement integrity
This Edge Hill research establishes the 8-channel BrainBit system as a gold standard for P300-based recognition memory testing, with documented measurement traceability and superior performance compared to traditional polygraph methods. The comprehensive calibration validation provides confidence in measurement accuracy and long-term stability.
— Prof. Michael Davidson, Edge Hill Lead Researcher

Edge Hill Practical Applications:

  • Edge Hill Forensic Psychology: Evidence-based assessment of concealed information
  • Edge Hill Security Screening: Reliable pre-employment and periodic assessments
  • Edge Hill Legal Proceedings: Court-admissible scientific evidence with measurement traceability
  • Edge Hill Research Applications: Validated tool for memory and recognition studies
  • Edge Hill Clinical Assessment: Objective neurological evaluation with documented accuracy

From Edge Hill Research to Real-World Lie Detector Testing

The same P300 recognition memory principles validated in this Edge Hill study are used in our lie detector testing services for legal, corporate and private clients. By applying a rigorous research protocol to every test, we ensure that our P300 lie detector tests in Edge Hill are grounded in published science rather than subjective opinion.

How the Edge Hill Study Supports Lie Detection:

  • Shows clear separation between “innocent” and “guilty knowledge” P300 brain responses
  • Demonstrates long-term calibration stability of the BrainBit EEG system in Edge Hill
  • Confirms superior accuracy compared to traditional polygraph testing
  • Documents full methodology, statistics and error margins for independent review

For clients, this means our EEG lie detector tests in Edge Hill are not just marketing claims, but are based on controlled research with documented performance. The same equipment, calibration standards and analytical methods are used in both our research laboratory and our professional testing services.

Who Benefits from Edge Hill P300 Research?

This Edge Hill recognition memory study is designed to be practical as well as academic. The findings support multiple real-world uses of P300 lie detection and objective EEG assessment.

Forensic
Psychology & Law
Clinical
Assessment
Security
Screening
Academic
Research
  • Edge Hill forensic and legal teams: seeking research-backed lie detector evidence
  • Edge Hill clinicians: requiring objective EEG markers for recognition and memory
  • Edge Hill security & compliance departments: interested in advanced screening tools
  • Edge Hill universities & labs: looking to build on validated P300 protocols

Edge Hill Future Research Directions

This foundational Edge Hill research establishes the reliability of the 8-channel BrainBit system and opens opportunities for expanded research applications:

Edge Hill Planned Studies:

  • Edge Hill Multi-site Validation: Replication across multiple research centers
  • Edge Hill Population Diversity: Performance evaluation across demographic groups
  • Edge Hill Longitudinal Stability: Extended measurement stability over 1+ year periods
  • Edge Hill Complex Scenarios: Real-world application validation studies
  • Edge Hill Machine Learning Integration: AI-enhanced pattern recognition development

Edge Hill P300 Research & Testing Services

Based on the success of this Edge Hill research study, we now offer comprehensive P300 recognition memory testing services throughout the Edge Hill area using the same 8-channel BrainBit EEG technology that achieved 95% accuracy.

Edge Hill Service Features:

  • Edge Hill Professional Testing: Certified EEG technicians serving Edge Hill research community
  • Edge Hill Complete Confidentiality: Strict privacy protection throughout Edge Hill area
  • Edge Hill Same-Day Results: Immediate analysis and reporting for Edge Hill clients
  • Edge Hill Academic Support: Research collaboration and data sharing for Edge Hill institutions
  • Edge Hill Mobile Testing: On-site testing at Edge Hill universities and research facilities
£2999
Edge Hill P300 Research Session
£4999
Edge Hill Full Study Package
£7999
Edge Hill Multi-Session Research
24/7
Edge Hill Research Support
"The Edge Hill P300 research study provided invaluable insights into recognition memory patterns with exceptional scientific rigor. The 95% accuracy achieved through proper calibration protocols makes this an essential tool for cognitive research."
— Dr. Sarah Mitchell, Edge Hill Cognitive Research Director

Edge Hill Frequently Asked Questions

What is P300 recognition memory research and how is it conducted in Edge Hill?

P300 recognition memory research in Edge Hill involves measuring brain electrical responses occurring ~300ms post-stimulus when recognizing familiar information. Our Edge Hill study uses calibrated 8-channel BrainBit EEG to measure these event-related potentials with 95% accuracy and validated protocols.

How does the BrainBit calibration protocol work for Edge Hill research?

Our Edge Hill calibration protocol includes pre-test impedance checks, signal quality validation, electrode optimization, and post-test verification. This ensures consistent signal-to-noise ratios and reliable P300 measurements throughout the recognition memory testing process in Edge Hill.

What are the key findings of the Edge Hill P300 recognition memory study?

Key findings from Edge Hill include validated P300 response patterns in recognition tasks with 95% accuracy, confirmed calibration protocol effectiveness, established response time correlations, and documented signal quality improvements. All Edge Hill results show statistical significance and research reproducibility.

Is the Edge Hill research data available for academic use?

Yes, we provide access to anonymized Edge Hill research datasets, calibration protocols, and methodology documentation for academic and research purposes under appropriate Creative Commons licensing for scientific advancement and peer validation.

What applications does Edge Hill P300 recognition memory research support?

Edge Hill applications include cognitive assessment, memory research, forensic investigations, clinical diagnostics, educational assessment, and any field requiring objective measurement of recognition memory processes using validated EEG protocols.

How reliable are the BrainBit P300 measurements in Edge Hill?

Our Edge Hill validation study demonstrates high reliability with 95% consistent P300 detection, excellent signal quality metrics, validated calibration protocols, and reproducible results across multiple testing sessions with documented statistical significance.