Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis
The unmet timely diagnosis requirements, that take place years after substantial neural loss
and neuroperturbations in neuropsychiatric disorders, affirm the dire need for biomarkers …
and neuroperturbations in neuropsychiatric disorders, affirm the dire need for biomarkers …
A systematic literature review on latest keystroke dynamics based models
The purpose of this study is to conduct a comprehensive evaluation and analysis of the most
recent studies on the implications of keystroke dynamics (KD) patterns in user …
recent studies on the implications of keystroke dynamics (KD) patterns in user …
Imbalanced ensemble learning in determining Parkinson's disease using Keystroke dynamics
Purpose: The main objective of this study is to propose a Keystroke dynamics (KD) based
Parkinson's disease (PD) indicator using both fixed-text and free-text typing habits on …
Parkinson's disease (PD) indicator using both fixed-text and free-text typing habits on …
Keystroke-dynamics for Parkinson's disease signs detection in an at-home uncontrolled population: a new benchmark and method
S Tripathi, T Arroyo-Gallego… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is the second most prevalent neurodegenerative disease disorder
in the world. A prompt diagnosis would enable clinical trials for disease-modifying …
in the world. A prompt diagnosis would enable clinical trials for disease-modifying …
Enhanced Parkinson's disease tremor severity classification by combining signal processing with resampling techniques
Tremor is an indicative symptom of Parkinson's disease (PD). Healthcare professionals have
clinically evaluated the tremor as part of the Unified Parkinson's disease rating scale …
clinically evaluated the tremor as part of the Unified Parkinson's disease rating scale …
A novel approach to identify parkinson's disease and other similar neural stress by analysing keystrokes on modern active devices with ensemble classification
Motor skills (related to the motor nerve) and neurocognitive disorders affect humans' typing
ability to an extent that is noticeable while using a keyboard, smartphone, or other electronic …
ability to an extent that is noticeable while using a keyboard, smartphone, or other electronic …
MELPD-Detector: Multi-level ensemble learning method based on adaptive data augmentation for Parkinson disease detection via free-KD
Parkinson disease (PD) is a neurodegenerative disorder which has tremor in the finger,
handwriting change and so on. Tremor in the finger with PD changes the typing pattern of …
handwriting change and so on. Tremor in the finger with PD changes the typing pattern of …
Predicting Useful Information From Typing Patterns Using a Bootstrapped-Based Homogeneous Ensemble Approach
Nowadays, the way a user connects with computing devices is being analysed with the goal
of extracting useful information for some interesting applications beyond user authentication …
of extracting useful information for some interesting applications beyond user authentication …
[PDF][PDF] Hessa Alfalahi1, 2Ε, Ahsan H. Khandoker1, 2, Nayeefa Chowdhury1, Dimitrios Iakovakis3
Results Our search identified 9576 results of which 4365 were removed as duplicates and
4045 were excluded by automation tools, as illustrated by the PRSIMA 2020 flowchart in Fig …
4045 were excluded by automation tools, as illustrated by the PRSIMA 2020 flowchart in Fig …