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future Intermediate 21 lessons

Wearable Biosensors

Hack health data. Interface with PPG, ECG, and Accelerometers to build health monitoring apps and algorithms.

Your watch knows your heart rate. This course teaches the engineering behind wearables. You will understand the physics of PPG (optical heart rate) and ECG (electrical heart) sensors. Learn to process raw sensor data to calculate Heart Rate Variability (HRV), sleep stages, and step counts. We cover Bluetooth Low Energy (BLE) profiles for health devices and data privacy standards (HIPAA) for health apps. Build the next generation of digital health tools.

✅ 100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Health Eng
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Complete Course Syllabus

  • 1
    Sensor Physics
    How light (PPG) and electricity (ECG) measure health.
  • 2
    Bluetooth Health
    Reading standard BLE Heart Rate profiles.
  • 3
    Signal Processing
    Filtering noise and detecting peaks in data.
  • 4
    Algorithms
    Calculating HRV, SpO2, and sleep quality.
  • 5
    Platform APIs
    Integrating with Apple Health and Google Fit.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$110k - $160k

Career Paths

Biosignal Engineer $115k-$165k
HealthTech Developer $110k-$155k
Wearable Architect $125k-$175k

What You Will Learn

Interface with wearable sensors via Bluetooth LE
Process raw PPG and ECG signals to extract vitals
Calculate Heart Rate Variability (HRV) and stress metrics
Implement step counting algorithms using accelerometers
Design HIPAA-compliant data storage for health apps

Skills You Will Gain

Biosignal Processing Bluetooth LE HealthKit/Google Fit Python/Mobile Data Privacy

Who Is This For

Biomedical Engs
Mobile Devs
HealthTech Founders

Prerequisites

Coding Basics
Math

Wearable Biosensors FAQs

Medical device?

We focus on consumer wellness tech boundaries.

Hardware?

A standard BLE heart rate monitor ($50) helps.

Math?

Signal processing involves some math (FFT).

Privacy?

Critical; we cover secure data handling.

Need more info?
All Reork courses are 100% free, self-paced, and fully accessible on mobile devices. No prior experience is required. Read our full Platform FAQ.

Tech Stack & Tools

Python (SciPy)
Polar H10
Arduino BLE
Mobile SDKs

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