Devender Kumar

Assistant Professor

University of Southern Denmark

Denmark

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About

Devender Kumar is an Assistant Professor at the University of Southern Denmark. His research areas include digital health interventions, physical activity monitoring, and the application of deep learning in healthcare technologies. He has contributed to various studies focusing on personalized health data engagement, accuracy of fitness tests, and the use of mobile sensing frameworks in health applications. Dr. Kumar's work emphasizes the integration of interdisciplinary perspectives to enhance patient outcomes through technology.

Articles (10)

Year:

2025

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2021

Collaborators (5)

Eva Maria Propst

Lecturer

University of Applied Sciences Upper Austria

AUSTRIA

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HELENA DOMINGUEZ

Københavns Universitet

DENMARK

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Jakob Eyvind Bardram

Technical University of Denmark

DENMARK

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Barbara Mayr

AUSTRIA

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Steven Jeuris

Technical University of Denmark

DENMARK

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Devender Kumar

Research Interests

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Articles (10)

Feasibility of the aktivplan Digital Health Intervention for Regular Physical Activity Following Phase II Rehabilitation: Protocol for a Mixed Method Randomized Controlled Pilot Study (ACTIVE-CaRe Pilot)

Validation of the Polar Fitness Test for Estimation of Maximal Oxygen Consumption at Rest in Medically Supervised Exercise Training: Comparison with CPET and the 6-Minute Walk Test

Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

Validity of Four Consumer‐Grade Optical Heart Rate Sensors for Assessing Volume and Intensity Distribution of Physical Activity

An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm

Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data

Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection

CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset

mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening

Mobile and Wearable Sensing Frameworks for mHealth Studies and Applications

Collaborators (5)

Eva Maria Propst

HELENA DOMINGUEZ

Jakob Eyvind Bardram

Barbara Mayr

Steven Jeuris

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