Effectiveness of telerehabilitation on motor impairments, non-motor symptoms and compliance in patients with Parkinson's disease: a systematic review
C Vellata, S Belli, F Balsamo, A Giordano… - Frontiers in …, 2021 - frontiersin.org
Introduction: Parkinson's disease (PD) is a chronic neurodegenerative disease involving a
progressive alteration of the motor and non-motor function. PD influences the patient's daily …
progressive alteration of the motor and non-motor function. PD influences the patient's daily …
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 …
Early detection of Parkinson's disease using deep learning and machine learning
Accurately detecting Parkinson's disease (PD) at an early stage is certainly indispensable
for slowing down its progress and providing patients the possibility of accessing to disease …
for slowing down its progress and providing patients the possibility of accessing to disease …
Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial
F Lipsmeier, KI Taylor, T Kilchenmann… - Movement …, 2018 - Wiley Online Library
Background: Ubiquitous digital technologies such as smartphone sensors promise to
fundamentally change biomedical research and treatment monitoring in neurological …
fundamentally change biomedical research and treatment monitoring in neurological …
Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review
Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …
medical attention and clinical signs. It is subjective and does not have a good prognosis …
A survey of privacy vulnerabilities of mobile device sensors
The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
Multiple-fine-tuned convolutional neural networks for Parkinson's disease diagnosis from offline handwriting
Existing decision support system frameworks for diagnosing Parkinson's disease (PD)
through handwriting, speech, or gait characteristics share very similar pipelines. Although in …
through handwriting, speech, or gait characteristics share very similar pipelines. Although in …
New sensor and wearable technologies to aid in the diagnosis and treatment monitoring of Parkinson's disease
Parkinson's disease (PD) is a degenerative disorder of the brain characterized by the
impairment of the nigrostriatal system. This impairment leads to specific motor …
impairment of the nigrostriatal system. This impairment leads to specific motor …
Touchscreen typing pattern analysis for remote detection of the depressive tendency
Depressive disorder (DD) is a mental illness affecting more than 300 million people
worldwide, whereas social stigma and subtle, variant symptoms impede diagnosis …
worldwide, whereas social stigma and subtle, variant symptoms impede diagnosis …
A scoping review of neurodegenerative manifestations in explainable digital phenotyping
Neurologists nowadays no longer view neurodegenerative diseases, like Parkinson's and
Alzheimer's disease, as single entities, but rather as a spectrum of multifaceted symptoms …
Alzheimer's disease, as single entities, but rather as a spectrum of multifaceted symptoms …