Selected engineering work

Biomedical AI research

Swin Transformer for EEG Seizure Classification

Validated 19-channel EEG → FRP preprocessing, completed four-class Swin segment experiments and a separate three-class patient pilot; CNN-vs-Swin comparison remains ongoing.

EEGFRPSwin TransformerAMIFNNFuzzy C-meansCNN comparison (planned)
Choose your depth
Architecture, choices & results

Study seizure-discriminative FRP representations while separating segment-level experiments from preliminary patient-level generalization.

Follow the flow from input to evaluated output. Select a stage to inspect its role.

19-channel EEG — 19-channel EEG

Engineering decision

Keep patient evaluation separate

Problem
Samples from the same patient across training and testing can overestimate generalization.
Approach
Patient-separated pilot with majority voting; exclude MYSZ because only one patient is represented.
Trade-off / scope
Only five held-out patients. Different class scope, evaluation unit and split strategy prevent direct comparison with the four-class segment results.
direct evidenceResearch methodology

Validated recording/annotation handling, filtering, segmentation, parameter estimation, reconstruction, fuzzy clustering and real-EEG FRP checks.

Documented resultValidated EEG → FRP pipelinePreprocessing / FRP pipeline validation (local research; completed): 19 EEG channels; delta/theta/alpha/beta/gamma filtering; non-overlapping 1-second seizure windows; per-segment AMI/FNN and signal-dependent fuzzy threshold; phase-space reconstruction and fuzzy C-means. Selected annotated TUSZ recordings. Four-class segment discrimination remains challenging; accuracy is modest across bands. MYSZ has only one patient and is excluded from the patient-separated pilot. Only five held-out test patients; initial generalization pilot, not a definitive cross-patient performance estimate. Segment and patient results are not directly comparable: class sets, evaluation units and split strategies differ. Controlled CNN-vs-Swin patient-separated comparison is ongoing/planned; it has no supplied completed results. Internal Biomedical Sensors and Systems Lab, University of Memphis research; no public repository, publication URL or stable external artifact link is supplied.
direct evidenceSegment-level experiment

Independent experiments across five EEG bands using 224×224 grayscale FRPs.

Documented result54.85% gamma · four-class segmentsFour-class segment-level Swin experiments (local research; completed): Four-class Swin baseline; segment-level per-band metrics. Specific split ratios and precision/recall/F1 averaging are not supplied. Selected TUSZ seizure recordings represented as 1-second FRP segments. Delta segment accuracy: 48.15%. Four classes (CPSZ/FNSZ/GNSZ/MYSZ); segment-level result, not patient generalization. Theta segment accuracy: 49.26%. Four classes (CPSZ/FNSZ/GNSZ/MYSZ); segment-level result, not patient generalization. Alpha segment accuracy: 46.17%. Four classes (CPSZ/FNSZ/GNSZ/MYSZ); segment-level result, not patient generalization. Beta segment accuracy: 48.78%. Four classes (CPSZ/FNSZ/GNSZ/MYSZ); segment-level result, not patient generalization. Gamma segment accuracy: 54.85%. Four classes (CPSZ/FNSZ/GNSZ/MYSZ); segment-level result, not patient generalization. Gamma segment precision: 47.32%. Four-class gamma-band segment experiment. Macro/weighted averaging is not supplied. Gamma segment recall: 47.49%. Four-class gamma-band segment experiment. Macro/weighted averaging is not supplied. Gamma segment F1: 46.96%. Four-class gamma-band segment experiment. Macro/weighted averaging is not supplied. Four-class segment discrimination remains challenging; accuracy is modest across bands. MYSZ has only one patient and is excluded from the patient-separated pilot. Only five held-out test patients; initial generalization pilot, not a definitive cross-patient performance estimate. Segment and patient results are not directly comparable: class sets, evaluation units and split strategies differ. Controlled CNN-vs-Swin patient-separated comparison is ongoing/planned; it has no supplied completed results. Internal Biomedical Sensors and Systems Lab, University of Memphis research; no public repository, publication URL or stable external artifact link is supplied.
direct evidencePatient-level pilot

Exploratory patient-separated pilot on only five held-out patients.

Documented result60% theta · three-class patient pilotThree-class patient-level generalization pilot (local research; completed): Patient-separated train/validation/test split; final patient prediction via majority voting. TUSZ patient pilot: 13 train, 3 validation and 5 held-out test patients. Delta patient accuracy: 40%. Three-class patient pilot (MYSZ excluded); five held-out patients only; not directly comparable to four-class segment results. Theta patient accuracy: 60%. Three-class patient pilot (MYSZ excluded); five held-out patients only; not directly comparable to four-class segment results. Alpha patient accuracy: 20%. Three-class patient pilot (MYSZ excluded); five held-out patients only; not directly comparable to four-class segment results. Beta patient accuracy: 20%. Three-class patient pilot (MYSZ excluded); five held-out patients only; not directly comparable to four-class segment results. Gamma patient accuracy: 20%. Three-class patient pilot (MYSZ excluded); five held-out patients only; not directly comparable to four-class segment results. Four-class segment discrimination remains challenging; accuracy is modest across bands. MYSZ has only one patient and is excluded from the patient-separated pilot. Only five held-out test patients; initial generalization pilot, not a definitive cross-patient performance estimate. Segment and patient results are not directly comparable: class sets, evaluation units and split strategies differ. Controlled CNN-vs-Swin patient-separated comparison is ongoing/planned; it has no supplied completed results. Internal Biomedical Sensors and Systems Lab, University of Memphis research; no public repository, publication URL or stable external artifact link is supplied.

Preprocessing / FRP pipeline validation: completed. Selected annotated TUSZ recordings. Four-class segment-level Swin experiments: completed. Selected TUSZ seizure recordings represented as 1-second FRP segments. Evaluation settings are not directly comparable. Three-class patient-level generalization pilot: completed. TUSZ patient pilot: 13 train, 3 validation and 5 held-out test patients. Evaluation settings are not directly comparable. Controlled CNN-vs-Swin comparison: in progress. Common FRP inputs; final sample counts and class scope not supplied.

A documented safety and scope boundary.

Research evidence does not establish clinical validity. Four-class segment discrimination remains challenging; accuracy is modest across bands. MYSZ has only one patient and is excluded from the patient-separated pilot. Only five held-out test patients; initial generalization pilot, not a definitive cross-patient performance estimate. Segment and patient results are not directly comparable: class sets, evaluation units and split strategies differ. Controlled CNN-vs-Swin patient-separated comparison is ongoing/planned; it has no supplied completed results. Internal Biomedical Sensors and Systems Lab, University of Memphis research; no public repository, publication URL or stable external artifact link is supplied.

Context limited to Swin / FRP Research

Challenge this project.

Ask about the decisions, evaluation or boundaries behind the work.

Deterministic answers from documented portfolio evidence · project-scoped

A claim is only the beginning

Where did I use it?
What did I build?
How did I measure it?

Follow the projects, decisions and evaluation behind each answer. Every important claim has somewhere to go.

Direct · measured implementation Supporting · documented use Related · adjacent experience
An inspectable claimPG / 001
CAPABILITYRetrieval-augmented generation
IMPLEMENTATION

BM25+semantic retrieval

Trace the evaluation behind the number