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

Selhurst P300 Recognition Memory Research

Comprehensive controlled study conducted in Selhurst 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 Selhurst participants.

Selhurst Recognition Memory Research Documentation

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

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

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

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

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

Selhurst Study Abstract

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

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

Results: Selhurst 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 Selhurst testing period.

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

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

Selhurst Plain-English Summary

In simple terms, this Selhurst 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 Selhurst.

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 Selhurst 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 Selhurst, particularly for cases where objective, research-backed evidence is important.

Selhurst Pre-Test System Calibration

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

Selhurst 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 Selhurst channels within ±0.2% tolerance

Selhurst 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 Selhurst parameters within specification limits

Selhurst Research Methodology

Week 1: Selhurst Participant Recruitment & Randomization

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

Week 1-2: Selhurst Equipment Setup & Calibration Validation

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

Week 3-6: Selhurst Controlled Testing Protocol

Selhurst 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 Selhurst laboratory.

Week 6-7: Selhurst Polygraph Comparison Testing

All Selhurst 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: Selhurst Post-Test Calibration & Analysis

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

Selhurst P300 Recognition Response Analysis

Selhurst Group Comparison: Innocent vs Guilty Knowledge P300 Responses

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

Figure 1: Selhurst 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 Selhurst groups show similar latency (318±31ms) but markedly different amplitudes enabling reliable detection.

Selhurst 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 Selhurst guilty knowledge group. Maximum response observed at P4 electrode (11.3±2.8μV) consistent with parietal P300 distribution literature.

Selhurst Statistical Analysis & Performance Metrics

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

Selhurst Statistical Significance Testing:

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

Selhurst Detection Performance Metrics:

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

Selhurst Post-Test System Validation

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

Selhurst 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%

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

Selhurst Recognition Memory Research Key Findings

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

Selhurst Discussion & Clinical Implications

This controlled study conducted in Selhurst 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.

Selhurst Clinical Significance:

  • Selhurst Diagnostic Accuracy: 95.2% overall accuracy significantly exceeds polygraph performance
  • Selhurst Measurement Reliability: ±0.03% maximum drift over 8 weeks demonstrates exceptional stability
  • Selhurst Response Time: Real-time P300 detection enables immediate assessment
  • Selhurst Objective Evidence: Quantitative EEG measurements provide scientific foundation
  • Selhurst Quality Assurance: Complete calibration validation ensures measurement integrity
This Selhurst 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, Selhurst Lead Researcher

Selhurst Practical Applications:

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

From Selhurst Research to Real-World Lie Detector Testing

The same P300 recognition memory principles validated in this Selhurst 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 Selhurst are grounded in published science rather than subjective opinion.

How the Selhurst 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 Selhurst
  • 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 Selhurst 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 Selhurst P300 Research?

This Selhurst 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
  • Selhurst forensic and legal teams: seeking research-backed lie detector evidence
  • Selhurst clinicians: requiring objective EEG markers for recognition and memory
  • Selhurst security & compliance departments: interested in advanced screening tools
  • Selhurst universities & labs: looking to build on validated P300 protocols

Selhurst Future Research Directions

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

Selhurst Planned Studies:

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

Selhurst P300 Research & Testing Services

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

Selhurst Service Features:

  • Selhurst Professional Testing: Certified EEG technicians serving Selhurst research community
  • Selhurst Complete Confidentiality: Strict privacy protection throughout Selhurst area
  • Selhurst Same-Day Results: Immediate analysis and reporting for Selhurst clients
  • Selhurst Academic Support: Research collaboration and data sharing for Selhurst institutions
  • Selhurst Mobile Testing: On-site testing at Selhurst universities and research facilities
£2999
Selhurst P300 Research Session
£4999
Selhurst Full Study Package
£7999
Selhurst Multi-Session Research
24/7
Selhurst Research Support
"The Selhurst 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, Selhurst Cognitive Research Director

Selhurst Frequently Asked Questions

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

P300 recognition memory research in Selhurst involves measuring brain electrical responses occurring ~300ms post-stimulus when recognizing familiar information. Our Selhurst 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 Selhurst research?

Our Selhurst 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 Selhurst.

What are the key findings of the Selhurst P300 recognition memory study?

Key findings from Selhurst 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 Selhurst results show statistical significance and research reproducibility.

Is the Selhurst research data available for academic use?

Yes, we provide access to anonymized Selhurst 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 Selhurst P300 recognition memory research support?

Selhurst 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 Selhurst?

Our Selhurst 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.