Wearable Health Signal Analysis

📦 Repository Structure This project is part of a larger technical portfolio monorepo.

The analysis displayed below lives in: data-analysis/projects/wearable-health-signal-analysis/

within the repository: DataEden / fari-tech-portfolio

This subfolder contains a computational and engineering-focused data analysis project that demonstrating signal cleaning, manual statistical computation, and behavioral inference from raw heart-rate telemetry.

🏗️ How This Page Is Generated The documentation below is dynamically rendered from the project's GitHub repository.

The site retrieves the repository README and converts it to HTML using the GitHub API and the Marked.js Markdown parser.

This allows the repository to remain the single source of truth while keeping the website documentation automatically synchronized.

🔎 Data Source This analysis uses time-series heart-rate telemetry collected from wearable monitoring devices.

The project directory contains the raw signal logs along with Python scripts used for signal cleaning, statistical analysis, and behavioral inference.

⚙️ Engineering Note This page uses a GitHub-backed documentation model where the repository remains the single source of truth and the website serves as the presentation layer.

Project links open directly to the repository so readers can inspect the analysis scripts, signal-processing workflow, and supporting artifacts in their native environment.

Wearable Health Signal Analysis

A prototype wearable analytics pipeline that turns raw heart‑rate telemetry into meaningful behavioral insights.

• Repository: View on GitHub

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