activity
20162026
most citedImpact of Physical Activity on Sleep:A Deep Learning Based Exploration

252 citations · 282 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Deep Learning Approaches for Sleep Apnea Classification from Polysomnographic EEG Signals

Shashank Manjunath, Mukesh Cheemakurthi, Aarti Sathyanarayana

Sleep apnea diagnosis via polysomnography remains resource intensive and relies on time consuming manual data analysis and scoring. Recent work has demonstrated that central nervou…

cs.OH2025★ 3 cited

Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation

Yuna Watanabe, Natasha Yamane, Aarti Sathyanarayana +2

Wearable physiological monitors are ubiquitous, and photoplethysmography (PPG) is the standard low-cost sensor for measuring cardiac activity. Metrics such as inter-beat interval (…

cs.HC2025

Extending Stress Detection Reproducibility to Consumer Wearable Sensors

Ohida Binte Amin, Varun Mishra, Tinashe M. Tapera +2

Wearable sensors are widely used to collect physiological data and develop stress detection models. However, most studies focus on a single dataset, rarely evaluating model reprodu…

cs.LG2024

Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curves

Shashank Manjunath, Hau-Tieng Wu, Aarti Sathyanarayana

Sleep staging is a challenging task, typically manually performed by sleep technologists based on electroencephalogram and other biosignals of patients taken during overnight sleep…

eess.SP2024★ 2 cited

Detection of Sleep Oxygen Desaturations from Electroencephalogram Signals

Shashank Manjunath, Aarti Sathyanarayana

In this work, we leverage machine learning techniques to identify potential biomarkers of oxygen desaturation during sleep exclusively from electroencephalogram (EEG) signals in pe…

math.AT2023★ 2 cited

Topological Data Analysis of Electroencephalogram Signals for Pediatric Obstructive Sleep Apnea

Shashank Manjunath, Jose A. Perea, Aarti Sathyanarayana

Topological data analysis (TDA) is an emerging technique for biological signal processing. TDA leverages the invariant topological features of signals in a metric space for robust…

cs.LG2016★ 252 cited

Impact of Physical Activity on Sleep:A Deep Learning Based Exploration

Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque +5

The importance of sleep is paramount for maintaining physical, emotional and mental wellbeing. Though the relationship between sleep and physical activity is known to be important,…

cs.LG2016★ 23 cited

Robust Automated Human Activity Recognition and its Application to Sleep Research

Aarti Sathyanarayana, Ferda Ofli, Luis Fernandes-Luque +4

Human Activity Recognition (HAR) is a powerful tool for understanding human behaviour. Applying HAR to wearable sensors can provide new insights by enriching the feature set in hea…