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Smart Wearables: AI in Health and Fitness Devices

Cross-cutting
Digital Skills

IA Academy

Duration

3:00 p.m.

PRESENTATION

The Smart Wearables Course: AI in Health and Fitness Devices it immerses you in the the vibrant world of portable devices, a a booming sector with growing demand for labor. You'll learn how to Define and classify wearables, you'll understand his evolution and the underlying technologies, such as sensors y biometric data collection. The applied artificial intelligence will allow you to train models using physiological data y evaluate their performance in real time. In digital health, you'll master the vital signs monitoring and the disease detection, whereas in the field of sports, you'll explore the performance analysis and the injury prevention. This course online offers you the opportunity to purchase key skills in a dynamic market, getting ready for Innovating in Health and Sports with Cutting-Edge Technology.

Objectives

  • Understanding the evolution y Classification of Wearable Devices to identify its use in Health and Sports.

  • Analyze common sensors and how it works for the biometric data collection in wearables.

  • Explore Fundamentals of AI y applied models on portable devices for improve its effectiveness.

  • Apply real-time data processing techniques for optimize performance in the wearables sector.

  • Evaluate the AI model performance in the disease detection y health monitoring.

  • Identify AI applications in sports for improve performance y prevent injuries in real time.

  • Integrate wearables with telehealth platforms y sports apps for a connected ecosystem.

Syllabus

TEACHING UNIT 1. INTRODUCTION TO SMART WEARABLES 1. Definition and Evolution of Wearable Devices 2. Classification: Health, Sports, Wellness, and Other Areas 3. Most Common Sensors and Their Basic Operation 4. Biometric Data Collection: Types and Objectives 5. Initial Challenges in Implementing Wearables TEACHING UNIT 2. FUNDAMENTALS OF APPLIED ARTIFICIAL INTELLIGENCE 1. Artificial intelligence and machine learning 2. Types of models used in wearables 3. Real-time data processing and edge computing 4. Training models with physiological data 5. Evaluating model performance on wearable devices TEACHING UNIT 3. AI APPLICATIONS IN DIGITAL HEALTH 1. Vital signs monitoring: heart rate, oxygen levels, ECG 2. Detection of chronic diseases and prediction of medical events 3. Wearables for tracking sleep and mental health 4. Telehealth and connectivity with medical platforms 5. Regulation, clinical validation, and medical data security LEARNING UNIT 4. AI APPLICATIONS IN SPORTS AND PHYSICAL PERFORMANCE 1. Analysis of athletic performance using AI 2. Real-time injury detection and prevention 3. Wearables for personalized training and adaptive feedback 4. Biomechanical variables: posture, speed, acceleration 5. Integration with sports apps and mobile ecosystems
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.
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Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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