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International internship - Sleep research using machine learning

START

04/26

END

07/26

TEAM

1 pers.

STATUS

ARCHIVED

01OBJECTIVES
  • 01Develop a non-invasive system for tracking and analyzing sleep quality using machine learning
02PROCESS

  1. STEP 01

    Research and state of the art on sleep tracking and analysis systems using machine learning

  2. STEP 02

    Debug and improvement of the existing hardware device

  3. STEP 03

    Collection and preprocessing of sleep tracking data

  4. STEP 04

    Development of machine learning models

  5. STEP 05

    Acquisition, treatment and analysis of the BCG signal

  6. STEP 06

    Calculation of sleep quality parameters

  7. STEP 07

    Writing of the project report (methodological guide and operational recommendations) and presentation to ensure proper transmission and final implementation of the project

03TECHNOLOGIES USED
PythonTeamworkMachine Learning
04SKILLS
  • •Programming (Python)
  • •Machine Learning
  • •Signal Processing
  • •Hardware
05PROJECT MEDIA
International internship - Sleep research using machine learning — 1
01 / 02
06RESULTS & METRICS
  • R01Improved and functional hardware device
  • R02Machine learning models developed
  • R03Calculation of sleep quality parameters
  • R04Project report (methodological guide and operational recommendations) and presentation to ensure proper transmission and final implementation of the project
07IMPROVEMENTS
  • △Improve the quality/precision of the hardware device