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Sensors (Basel, Switzerland)|April 12, 2022
Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile SensingJakob E Bardram
Studies in Health Technology and Informatics|October 4, 2007
Applying mobile and pervasive computer technology to enhance coordination of work in a surgical wardThomas Riisgaard Hansen, Jakob E Bardram
Digital Health|April 5, 2024
Perceptions and effectiveness of episodic future thinking as digital micro-interventions based on mobile health technologyDan Roland Persson, Jakob E Bardram, Per Bækgaard
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
AFLoc8-Net: End-to-End Atrial Fibrillation Localization with a Dual Head TransformerGouthamaan Manimaran, Sadasivan Puthusserypady, Helena Dominguez, et al.
PLOS Digital Health|February 12, 2025
The Neuropathy Tracker-A mobile health application for ambulatory and self-administred assessment of neuropathyJakob E Bardram, Mads Westermann, Julia G Makulec, et al.
Frontiers in Cardiovascular Medicine|July 18, 2022
CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia DatasetDevender Kumar, Sadasivan Puthusserypady, Helena Dominguez, et al.
JMIR Mhealth and Uhealth|August 15, 2018
Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic ReviewDarius A Rohani, Maria Faurholt-Jepsen, Lars Vedel Kessing, et al.
Frontiers in Digital Health|April 25, 2022
What's Up With These Conversational Health Agents? From Users' Critiques to Implications for DesignRaju Maharjan, Kevin Doherty, Darius Adam Rohani, et al.
BMC Psychiatry|January 16, 2016
Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidenceMaria Faurholt-Jepsen, Klaus Munkholm, Mads Frost, et al.
Computer Methods and Programs in Biomedicine|May 31, 2022
Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detectionDevender Kumar, Abdolrahman Peimankar, Kamal Sharma, et al.
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