Back to Search
Start Over
Digital biomarkers for precision diagnosis and monitoring in Parkinson's disease.
- Source :
- NPJ Digital Medicine; 8/21/2024, Vol. 7 Issue 1, p1-10, 10p
- Publication Year :
- 2024
-
Abstract
- Parkinson's disease (PD) is a multifactorial neurodegenerative disorder with high prevalence among the elderly, primarily manifested by progressive decline in motor function. The aging global demographic and increased life expectancy have led to a rapid surge in PD cases, imposing a significant societal burden. PD along with other neurodegenerative diseases has garnered increasing attention from the scientific community. In PD, motor symptoms are recognized when approximately 60% of dopaminergic neurons have been damaged. The irreversible feature of PD and benefits of early intervention underscore the importance of disease onset prediction and prompt diagnosis. The advent of digital health technology in recent years has elevated the role of digital biomarkers in precisely and sensitively detecting early PD clinical symptoms, evaluating treatment effectiveness, and guiding clinical medication, focusing especially on motor function, responsiveness and sleep quality assessments. This review examines prevalent digital biomarkers for PD and highlights the latest advancements. [ABSTRACT FROM AUTHOR]
- Subjects :
- PARKINSON'S disease diagnosis
DIGITAL technology
MOTOR ability
MOBILE apps
FACE
EYE movement disorders
ARM
TASK performance
DIGITAL health
TREATMENT effectiveness
PARKINSON'S disease
WEARABLE technology
GAIT disorders
MOVEMENT disorders
HYPOKINESIA
NEUROLOGICAL disorders
PARASYMPATHETIC nervous system
MEDICAL equipment
ACCURACY
SLEEP quality
REACTION time
SPEECH disorders
PUPIL (Eye)
BIOMARKERS
SLEEP disorders
POSTURAL balance
SYMPTOMS
Subjects
Details
- Language :
- English
- ISSN :
- 23986352
- Volume :
- 7
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- NPJ Digital Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 179142967
- Full Text :
- https://doi.org/10.1038/s41746-024-01217-2