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Development of a Real-Time Heart Rate Monitoring Mobile App with Facial Pulse Recognition
  1. case
  2. Development of a Real-Time Heart Rate Monitoring Mobile App with Facial Pulse Recognition

Development of a Real-Time Heart Rate Monitoring Mobile App with Facial Pulse Recognition

orangesoft.co
Medical
Health & Fitness

Healthcare Provider Seeks Precise, Non-Invasive Heart Rate Monitoring Solution

The client requires a reliable, non-invasive method for accurate real-time heart rate measurement without external hardware, to enhance remote health monitoring and promote personalized fitness experiences. Variability due to user technique and environmental factors has impacted measurement accuracy, affecting user trust and health insight quality.

About the Client

A large healthcare technology provider seeking innovative solutions for remote cardiac health monitoring and fitness tracking.

Objectives to Advance Heart Monitoring and User Engagement

  • Develop a mobile application capable of accurately measuring heart rate in real time using only a smartphone camera.
  • Implement an innovative face or finger pulse detection algorithm that provides reliability comparable to dedicated hardware monitors.
  • Deliver instant heart rate feedback and insights into heart recovery times to users.
  • Enable personalized health and fitness recommendations based on real-time physiological data.
  • Ensure minimal latency for real-time monitoring across diverse user demographics and environmental conditions.

Core Functionalities for Accurate Heart Rate and User Insights

  • Realtime heart rate measurement using smartphone camera with high accuracy and minimal delay.
  • Custom algorithms that analyze pixel saturation in the green spectrum on user’s face or finger to detect pulse peaks.
  • Filtering and data smoothing techniques to improve reading stability and accuracy across different skin tones.
  • Insights into heart recovery times and overall cardiovascular health status.
  • Personalized fitness and health recommendations tailored to individual heart rate data, activity levels, and goals.

Preferred Technologies and Platforms

Mobile development: Android (Kotlin), iOS (Swift)
Image processing: OpenCV, Accelerate Framework
Media processing: CoreMedia, MediaPlayer
Data storage: CoreData, Firebase
Backend: Django, PostgreSQL, Pydantic, Docker, Python, Firebase Admin SDK

Integration Points for Data Processing and User Data Management

  • Device camera access for video input
  • Real-time data processing modules
  • Backend APIs for storing and analyzing health data
  • Notification systems for user guidance and feedback

System Performance, Security, and Scalability Standards

  • Real-time data processing with latency less than 1 second
  • High accuracy of pulse detection across diverse skin tones and environmental conditions
  • Secure handling of personal health data in compliance with privacy regulations
  • Scalable architecture to support large user base without performance degradation

Expected Business and User Benefits from the Heart Monitoring App

The project aims to enable a groundbreaking, non-invasive heart rate monitoring solution that rivals hardware accuracy, leading to increased user engagement, improved health awareness, and enhanced personalized fitness guidance. Anticipated outcomes include high user satisfaction with minimal measurement errors, tangible health insights (like recovery times), and a competitive advantage in remote health monitoring technology.

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