openmedical/registry
← registry

Emo_Phys_Eval

imported

software/emo-phys-eval

Repository for "Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State" AICS 2022

Machine-generated from the listed sources and not yet reviewed by a human.

Emo_Phys_Eval project image
GitHub preview card for ZacDair/Emo_Phys_Eval. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
ecg · ecg-classification · ecg-signal · emotion · emotion-detection · emotion-recognition · feature-extraction · feature-importance · feature-selection · machine-learning · ml · physiological-signals · ppg · ppg-signal · python
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • cardio-rsecg · ecg-signal · ppg-signal

    HRV metrics from PPG/ECG Rust Crate

  • ifreefeature-extraction · feature-selection

    Radoimics Toolkit: Extract from Dicom, Process with Annotation and Select from Radiomic Features

  • ml_utilsfeature-selection · ml

    Machine Learning library with useful functions for daily usage

  • automatic-ecg-diagnosisecg · ecg-classification · ecg-signal

    Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

  • ecg_qcecg · ecg-classification · ecg-signal

    A library to compute ECG signal quality indicators

  • EDIecg · ecg-classification · ecg-signal

    A Method to Improve Any ECG Denoising Technique In limb leads

sources
  1. api.github.com/repos/ZacDair/Emo_Phys_Eval
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-03-08, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/20.json→ .entries["emo-phys-eval"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.