Health Sensor Data

All the essential details are already provided in the "text.md" file showing all essential details of the dataset. Below are the details about How to Use and How to reproduce data-

How to Use

1. Download the Dataset: Obtain the dataset file containing the sensor data and classification labels.

2. Load the Dataset: Use your preferred data analysis tool or programming language to load the dataset. For example, in Python, you can use libraries such as Pandas to read the dataset file into a DataFrame.

3. Explore the Data: Once loaded, explore the dataset to understand its structure and contents. You can examine the columns, and summary statistics, and visualize the data to gain insights.

4. Analyze the Data: Perform any desired analysis or machine learning tasks using the dataset. You can use the provided classification labels to train predictive models or conduct statistical analysis.

How to Reproduce Data

1. Participant Recruitment: Recruit a sample of individuals for the study, ensuring representation from both Major Depressive Disorder (MDD) and non-MDD groups.

2. PHQ-9 Questionnaire Administration: Administer the Patient Health Questionnaire-9 (PHQ-9) to classify participants into MDD and non-MDD groups based on established cutoff scores.

3. Data Collection Setup: Establish a controlled environment for data collection to ensure reliability and consistency across measurements.

4. Sensor Data Collection: Collect sensor data, including temperature measurements, SpO2 readings, pulse rates, and accelerometer data, from each participant within the controlled environment.

5. Data Recording: Record all sensor data accurately, ensuring proper synchronization and labeling for each participant.

6. Dataset Compilation: Compile the collected data into a dataset, organizing it into a tabular format with appropriate columns and classification labels.