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

Sourhall P300 Recognition Memory Research

Comprehensive controlled study conducted in Sourhall 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 Sourhall participants.

Sourhall Recognition Memory Research Documentation

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

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

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

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

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

Sourhall Study Abstract

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

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

Results: Sourhall 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 Sourhall testing period.

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

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

Sourhall Plain-English Summary

In simple terms, this Sourhall 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 Sourhall.

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

Sourhall Pre-Test System Calibration

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

Sourhall 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 Sourhall channels within ±0.2% tolerance

Sourhall 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 Sourhall parameters within specification limits

Sourhall Research Methodology

Week 1: Sourhall Participant Recruitment & Randomization

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

Week 1-2: Sourhall Equipment Setup & Calibration Validation

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

Week 3-6: Sourhall Controlled Testing Protocol

Sourhall 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 Sourhall laboratory.

Week 6-7: Sourhall Polygraph Comparison Testing

All Sourhall 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: Sourhall Post-Test Calibration & Analysis

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

Sourhall P300 Recognition Response Analysis

Sourhall Group Comparison: Innocent vs Guilty Knowledge P300 Responses

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

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

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

Sourhall Statistical Analysis & Performance Metrics

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

Sourhall Statistical Significance Testing:

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

Sourhall Detection Performance Metrics:

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

Sourhall Post-Test System Validation

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

Sourhall 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%

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

Sourhall Recognition Memory Research Key Findings

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

Sourhall Discussion & Clinical Implications

This controlled study conducted in Sourhall 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.

Sourhall Clinical Significance:

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

Sourhall Practical Applications:

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

From Sourhall Research to Real-World Lie Detector Testing

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

How the Sourhall 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 Sourhall
  • 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 Sourhall 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 Sourhall P300 Research?

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

Sourhall Future Research Directions

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

Sourhall Planned Studies:

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

Sourhall P300 Research & Testing Services

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

Sourhall Service Features:

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

Sourhall Frequently Asked Questions

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

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

Our Sourhall 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 Sourhall.

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

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

Is the Sourhall research data available for academic use?

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

Sourhall 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 Sourhall?

Our Sourhall 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.