2026-10-07T08:27:41Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32674569 2026-10-02T11:00:02Z category_24892 item_type_3 month_year_10_2026

Multimodal Non-Invasive Physiological Signal Dataset Nazmus Salehin Noman (24205500) Md Nayeem Al Hasan (16925913) Other biomedical and clinical sciences not elsewhere classified electroencefalograma (EEG) photoplethysmograph electrocardiogram modeling <p dir="ltr"># Multimodal Non-Invasive Physiological Signal Dataset</p><p dir="ltr"><br></p><p dir="ltr">This dataset contains non-invasive physiological signals (ECG, EEG, and PPG) collected from 32 participants across three distinct cognitive states: rest, stress induced by calculation tasks, and stress induced by identification tasks.</p><p dir="ltr"><br></p><p dir="ltr">## Directory Structure</p><p dir="ltr"><br></p><p dir="ltr">```text</p><p dir="ltr">├── brain_performance/</p><p dir="ltr">│ ├── identification_performance.csv</p><p>│ </p><p dir="ltr">└── raw_data/</p><p dir="ltr"> ├── s1/</p><p dir="ltr"> │ ├── s1 all.csv</p><p dir="ltr"> │ ├── s1 all stress.csv</p><p dir="ltr"> │ └── s1 all flowers.csv</p><p dir="ltr"> ├── s2/</p><p dir="ltr"> │ ├── s2 all.csv</p><p dir="ltr"> │ ├── s2 all stress.csv</p><p dir="ltr"> │ └── s2 all flowers.csv</p><p dir="ltr"> └── ... (up to s32)</p><p>```</p><p dir="ltr"><br></p><p dir="ltr">## Dataset Description</p><p dir="ltr"><br></p><p dir="ltr">### 1. Brain Performance (`/brain_performance`)</p><p dir="ltr">This folder contains behavioral metrics and task performance data. </p><p dir="ltr">* **`identification_performance.csv`**: Tracks participant performance during the identification stress task. It records the total number of samples presented to each participant, along with the count of correct and incorrect answers.</p><p dir="ltr"><br></p><p dir="ltr">### 2. Raw Data (`/raw_data`)</p><p dir="ltr">This folder contains the authentic, unprocessed physiological signal data. It is divided into 32 subfolders labeled `s1` through `s32`, where each folder represents a unique subject (Sample 1, Sample 2, etc.).</p><p dir="ltr"><br></p><p dir="ltr">Each sample folder contains exactly three signals data:</p><p dir="ltr">* **`ecg`**: Electrocardiogram signal data capturing cardiac activity.</p><p dir="ltr">* **`eeg`**: Electroencephalogram signal data capturing brainwave activity.</p><p dir="ltr">* **`ppg`**: Photoplethysmogram signal data capturing peripheral blood volume pulse.</p><p dir="ltr"><br></p><p dir="ltr">## Experimental States</p><p dir="ltr">The signals in the raw data files span three specific experimental phases:</p><p dir="ltr">1. **Rest**: Baseline state with no cognitive load.</p><p dir="ltr">2. **Stress on Calculation**: Stress induced by mental arithmetic tasks.</p><p dir="ltr">3. **Stress on Identification**: Stress induced by visual or cognitive identification tasks (performance recorded in the `brain_performance` folder).</p> 2026-10-02T11:00:02Z Dataset Dataset 10.6084/m9.figshare.32674569.v3 https://figshare.com/articles/dataset/A_Multimodal_Non-Invasive_Physiological_Signal_Dataset_for_Cognitive_and_Calculation_Stress_Assessment/32674569 CC BY 4.0