Lisa Klingelhöfer

According to our database1, Lisa Klingelhöfer authored at least 12 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Parkinson's Disease Detection Based on Running Speech Data From Phone Calls.
IEEE Trans. Biomed. Eng., 2022

2020
Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning.
IEEE J. Biomed. Health Informatics, 2020

Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm.
Frontiers Comput. Sci., 2020

Innovative interventions for Parkinson's disease patients using iPrognosis games: an evaluation analysis by medical experts.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status Within the Framework of I-Prognosis Personalized Game Suite.
Proceedings of the IEEE International Conference on Image Processing, 2020

Using IMU Sensors to Assess Motor Degradation of PD Patients by Modeling In-meal Plate-to-Mouth Movement Elongation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Smartwatch-based Activity Analysis During Sleep for Early Parkinson's Disease Detection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild.
Frontiers ICT, 2018

On Exploring Design Elements in Assistive Serious Games for Parkinson's Disease Patients: The i-PROGNOSIS Exergames Paradigm.
Proceedings of the 2nd International Conference on Technology and Innovation in Sports, 2018

2016


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