Jean-Francois Daneault
Orcid: 0000-0002-8530-1827
According to our database1,
Jean-Francois Daneault
authored at least 16 papers
between 2015 and 2022.
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Bibliography
2022
A Kinematic Data-Driven Approach to Differentiate Involuntary Choreic Movements in Individuals With Neurological Conditions.
IEEE Trans. Biomed. Eng., 2022
Analysis of Gait Sub-Movements to Estimate Ataxia Severity Using Ankle Inertial Data.
IEEE Trans. Biomed. Eng., 2022
2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine, 2021
2020
A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics.
IEEE Trans. Biomed. Eng., 2020
mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease.
npj Digit. Medicine, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Comparing different methods of gait speed estimation using wearable sensors in individuals with varying levels of mobility impairments.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Remote Assessment of Cognitive Impairment Level Based on Serious Mobile Game Performance: An Initial Proof of Concept.
IEEE J. Biomed. Health Informatics, 2019
Predicting Cognitive Impairment Level after a Serious Game-based Therapy in Chronic Stroke Survivors.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Effectiveness of the RAPAEL Smart Board for Upper Limb Therapy in Stroke Survivors: A Pilot Controlled Trial.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Towards the Ambulatory Assessment of Movement Quality in Stroke Survivors using a Wrist-worn Inertial Sensor.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Estimating Bradykinesia in Parkinson's Disease with a Minimum Number of Wearable Sensors.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
2016
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016
2015
A novel method for assessing the severity of levodopa-induced dyskinesia using wearable sensors.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Activity detection in uncontrolled free-living conditions using a single accelerometer.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015