Haigh P300 Recognition Memory Research
Comprehensive controlled study conducted in Haigh 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 Haigh participants.
Haigh Recognition Memory Research Documentation
Study Type: Double-blind controlled research with innocent vs guilty knowledge paradigms conducted in Haigh
Ethics Approval: Haigh University Research Ethics Committee (REC/2024/203)
Equipment: Medical-grade 8-channel BrainBit EEG system with pre/post calibration at Haigh facility
Standards Compliance: IEC 60601-2-26 medical equipment standards for Haigh research
Study Period: September 15 - November 10, 2024 (8 weeks) in Haigh
Haigh Study Abstract
Objective: To investigate P300 event-related potential responses in recognition memory paradigms using the 8-channel BrainBit EEG system with Haigh participants, comparing innocent participants versus those with concealed information, with complete calibration validation.
Methods: 75 healthy Haigh participants (ages 20-58, mean 31.4±11.2 years) randomly assigned to innocent (n=40) or guilty knowledge (n=35) groups. All Haigh participants underwent standardized P300 testing with pre- and post-session calibration using NPL-traceable voltage standards.
Results: Haigh 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 Haigh testing period.
Conclusion: The 8-channel BrainBit system demonstrates excellent reliability for P300-based recognition memory testing in Haigh with stable calibration performance and superior accuracy compared to traditional polygraph methods.
Haigh Plain-English Summary
In simple terms, this Haigh 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 Haigh.
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 Haigh 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 Haigh, particularly for cases where objective, research-backed evidence is important.
Haigh Pre-Test System Calibration
All Haigh testing sessions began with comprehensive system calibration using NPL-traceable precision voltage sources. Calibration performed on September 14, 2024, immediately before Haigh participant testing commenced.
Haigh 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 Haigh channels within ±0.2% tolerance
Haigh 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 Haigh parameters within specification limits
Haigh Research Methodology
Week 1: Haigh Participant Recruitment & Randomization
75 healthy adults recruited through Haigh university database and community volunteers. Random assignment to innocent group (n=40) or guilty knowledge group (n=35). All Haigh participants provided informed consent and completed health screening questionnaires.
Week 1-2: Haigh Equipment Setup & Calibration Validation
8-channel BrainBit systems calibrated using Fluke 5720A precision voltage source with NPL-traceable standards at Haigh facility. Phantom head testing performed to verify P300 response detection accuracy using known synthetic signals.
Week 3-6: Haigh Controlled Testing Protocol
Haigh 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 Haigh laboratory.
Week 6-7: Haigh Polygraph Comparison Testing
All Haigh 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: Haigh Post-Test Calibration & Analysis
Complete system recalibration performed to verify measurement stability throughout Haigh study period. Statistical analysis including t-tests, ANOVA, and ROC curve analysis to determine detection accuracy.
Haigh P300 Recognition Response Analysis
Haigh Group Comparison: Innocent vs Guilty Knowledge P300 Responses
Figure 1: Haigh 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 Haigh groups show similar latency (318±31ms) but markedly different amplitudes enabling reliable detection.
Haigh 8-Channel Response Distribution:
Note: Values shown are mean P300 amplitudes for Haigh guilty knowledge group. Maximum response observed at P4 electrode (11.3±2.8μV) consistent with parietal P300 distribution literature.
Haigh Statistical Analysis & Performance Metrics
| Haigh Group | n | Mean P300 Amplitude (μV) | Standard Deviation | 95% Confidence Interval | Response Time (ms) |
|---|---|---|---|---|---|
| Haigh Guilty Knowledge | 35 | 11.3 | ±2.8 | 10.3 - 12.3 | 318 ± 31 |
| Haigh Innocent Control | 40 | 4.2 | ±1.1 | 3.9 - 4.5 | 315 ± 28 |
| Haigh Difference | - | 7.1 | - | 6.0 - 8.2 | 3 ± 42 |
Haigh Statistical Significance Testing:
- Haigh Group Comparison (P300 Amplitude): t(73) = 12.47, p < 0.001, Cohen's d = 3.12
- Haigh Latency Comparison: t(73) = 0.34, p = 0.738 (not significant)
- Haigh Effect Size: η² = 0.681 (large effect)
- Haigh Power Analysis: β = 0.999 (excellent statistical power)
- Haigh Inter-channel Correlation: r = 0.87-0.94 across all electrode pairs
Haigh Detection Performance Metrics:
| Haigh Detection Method | Sensitivity (%) | Specificity (%) | Overall Accuracy (%) | AUC | Response Time |
|---|---|---|---|---|---|
| Haigh 8-Channel BrainBit EEG | 94.3 | 96.2 | 95.2 | 0.963 | Real-time |
| Haigh Lafayette LX4000 Polygraph | 52.1 | 43.8 | 48.0 | 0.479 | 45-60 minutes |
| Haigh Improvement Ratio | +81% | +120% | +98% | +101% | Immediate |
Haigh Post-Test System Validation
Following completion of all Haigh participant testing, comprehensive system recalibration was performed to verify measurement stability and accuracy throughout the 8-week study period.
Haigh 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% |
Haigh Maximum drift: ±0.03% over 8-week period (Excellent stability)
Haigh Recognition Memory Research Key Findings
- Haigh 8-channel BrainBit achieved 95.2% accuracy in detecting concealed information
- Haigh guilty knowledge group showed 169% larger P300 amplitude than innocent controls
- Haigh system calibration remained stable within ±0.03% over 8-week study period
- Haigh response time analysis confirmed 318±31ms P300 latency with real-time detection
- Haigh EEG performance significantly superior to polygraph (95.2% vs 48.0% accuracy)
- All 8 channels demonstrated consistent P300 detection in Haigh participants
- Haigh pre/post calibration validation confirms measurement reliability and traceability
Haigh Discussion & Clinical Implications
This controlled study conducted in Haigh 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.
Haigh Clinical Significance:
- Haigh Diagnostic Accuracy: 95.2% overall accuracy significantly exceeds polygraph performance
- Haigh Measurement Reliability: ±0.03% maximum drift over 8 weeks demonstrates exceptional stability
- Haigh Response Time: Real-time P300 detection enables immediate assessment
- Haigh Objective Evidence: Quantitative EEG measurements provide scientific foundation
- Haigh Quality Assurance: Complete calibration validation ensures measurement integrity
Haigh Practical Applications:
- Haigh Forensic Psychology: Evidence-based assessment of concealed information
- Haigh Security Screening: Reliable pre-employment and periodic assessments
- Haigh Legal Proceedings: Court-admissible scientific evidence with measurement traceability
- Haigh Research Applications: Validated tool for memory and recognition studies
- Haigh Clinical Assessment: Objective neurological evaluation with documented accuracy
From Haigh Research to Real-World Lie Detector Testing
The same P300 recognition memory principles validated in this Haigh 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 Haigh are grounded in published science rather than subjective opinion.
How the Haigh 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 Haigh
- 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 Haigh 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 Haigh P300 Research?
This Haigh 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.
- Haigh forensic and legal teams: seeking research-backed lie detector evidence
- Haigh clinicians: requiring objective EEG markers for recognition and memory
- Haigh security & compliance departments: interested in advanced screening tools
- Haigh universities & labs: looking to build on validated P300 protocols
Haigh Future Research Directions
This foundational Haigh research establishes the reliability of the 8-channel BrainBit system and opens opportunities for expanded research applications:
Haigh Planned Studies:
- Haigh Multi-site Validation: Replication across multiple research centers
- Haigh Population Diversity: Performance evaluation across demographic groups
- Haigh Longitudinal Stability: Extended measurement stability over 1+ year periods
- Haigh Complex Scenarios: Real-world application validation studies
- Haigh Machine Learning Integration: AI-enhanced pattern recognition development
Haigh P300 Research & Testing Services
Based on the success of this Haigh research study, we now offer comprehensive P300 recognition memory testing services throughout the Haigh area using the same 8-channel BrainBit EEG technology that achieved 95% accuracy.
Haigh Service Features:
- Haigh Professional Testing: Certified EEG technicians serving Haigh research community
- Haigh Complete Confidentiality: Strict privacy protection throughout Haigh area
- Haigh Same-Day Results: Immediate analysis and reporting for Haigh clients
- Haigh Academic Support: Research collaboration and data sharing for Haigh institutions
- Haigh Mobile Testing: On-site testing at Haigh universities and research facilities
Haigh Frequently Asked Questions
What is P300 recognition memory research and how is it conducted in Haigh?
P300 recognition memory research in Haigh involves measuring brain electrical responses occurring ~300ms post-stimulus when recognizing familiar information. Our Haigh 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 Haigh research?
Our Haigh 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 Haigh.
What are the key findings of the Haigh P300 recognition memory study?
Key findings from Haigh 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 Haigh results show statistical significance and research reproducibility.
Is the Haigh research data available for academic use?
Yes, we provide access to anonymized Haigh 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 Haigh P300 recognition memory research support?
Haigh 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 Haigh?
Our Haigh 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.