Piezoelectric Signal Dataset for Knee Joint Flexion Process

The dataset contains data from three participant groups based on knee joint health status:

Healthy group: 27 participants with healthy knee joints (10 females). Subhealthy group: 15 participants from Beihang University with mild knee discomfort (8 females). Unhealthy group: 7 participants diagnosed with knee pathologies (5 females).

The dataset is divided into three folders: healthy, subhealthy, and unhealthy. Each folder contains samples corresponding to its group, organized as follows:

1. Healthy group (healthy folder):

• Number of samples: 27
• Repetitions per sample: 4 times
• Total CSV files per sample: 8 files
• Files 0, 1, 2, 3: Data from sensors 1–3 for four repeated trials.
• Files 4, 5, 6, 7: Data from sensors 4–6 for four repeated trials.

• Number of samples: 15
• Repetitions per sample: 2 times
• Total CSV files per sample: 4 files
• Files 0, 1: Data from sensors 1–3 for two repeated trials.
• Files 2, 3: Data from sensors 4–6 for two repeated trials.

• Number of samples: 7
• Repetitions per sample: 1 time
• Total CSV files per sample: 2 files
• File 0: Data from sensors 1–3 for one trial.
• File 1: Data from sensors 4–6 for one trial.

The files are sequentially named (e.g., 0, 1, 2) and store piezoelectric signals captured during knee flexion movements. This dataset is designed to support the analysis of sensor data for studying knee joint health and diagnostics.