CASE STUDY

Predicting Sleep State Using ML

Context

One of the clients wanted to classify whether a participant is awake or asleep at any given time using physiological signals (e.g., heart rate, EEG, movement) and behavioural data. The goal is to build a robust model using ensemble techniques and statistical validation.

Resolution

We deployed a specialized team with deep knowledge that used combination of models to capture different patterns and Two-Tailed Hypothesis Test which were Null Hypothesis (H₀) and Alternative Hypothesis (H₁) on prediction accuracy vs baseline which resulted model being statistically significant.

This gave Real-time prediction of sleep state and Alerts for sleep disturbances or irregular patterns.

Result

The ML-based approach made it easier where Neural networks excel at capturing temporal dependencies and Statistical validation confirms model reliability. The final dataset was accurate, well-organized, and ready for analysis—leading to better insights, faster decisions, and smoother reporting.

Download This Case Study











    Please accept the Privacy Policy and Terms & Conditions to continue.


    Please provide your SMS consent to continue.

    Recent Case-studies

    Predicting Sleep State Using ML

    Context

    One of the clients wanted to classify whether a participant is awake or asleep at any given time using physiological signals (e.g., heart rate, EEG, movement) and behavioural data. The goal is to build a robust model using ensemble techniques and statistical validation.

    Resolution

    We deployed a specialized team with deep knowledge that used combination of models to capture different patterns and Two-Tailed Hypothesis Test which were Null Hypothesis (H₀) and Alternative Hypothesis (H₁) on prediction accuracy vs baseline which resulted model being statistically significant.

    This gave Real-time prediction of sleep state and Alerts for sleep disturbances or irregular patterns.

    Result

    The ML-based approach made it easier where Neural networks excel at capturing temporal dependencies and Statistical validation confirms model reliability. The final dataset was accurate, well-organized, and ready for analysis—leading to better insights, faster decisions, and smoother reporting.

    About Us

    Headquartered in New Jersey, Rang Technologies has dedicated over a decade delivering innovative solutions and best talent to help businesses get the most out of the latest technologies in their digital transformation journey. Rang Technologies has grown to become a global leader in Analytics, Data Science, Artificial Intelligence, Machine Learning, Salesforce CRM, Cloud, DevOps, Internet of Things (IoT), Cybersecurity, IT Consulting and Staffing, and Corporate Training. Our clients, which include Fortune 500 to Start-up companies, come from a wide array of industries, including pharmaceuticals, healthcare, retail, technology, BFSI, media, automobile, manufacturing, and several others. Our clients know they can rely on Rang Technologies to deliver customized and comprehensive digital solutions and talent to complement their business and technical objectives.

    sales@rangtech.com | info@rangtech.com | (732) 947 4119
    Headquarters: 15 Corporate Place South, Suite #356, Piscataway, NJ 08854

    CONTENTS

    By submitting this form, you consent to receive calls and SMS messages from Rang Technologies. Message and data rates may apply. Reply STOP to opt out.