ArticleFrontiers in network physiology2025
Wearable multimodal sensing for quantifying the cardiovascular autonomic effects of levodopa in parkinsonism.
Article in Frontiers in network physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Robust learning framework for a scalable remote monitoring of autonomic dysreflexia: use-case in spinal cord injury.Scientific reports · 2026Article
- Sympathetic Burden Measured Through a Chest-Worn Sensor Correlates with Spatiotemporal Gait Performances and Global Cognition in Parkinson's Disease.Sensors (Basel, Switzerland) · 2025Article
- Elucidating the Reactivity of Reflectance-Based Core-Body Photoplethysmogram to Posture and Respiratory Changes.IEEE sensors journal · 2025Article
- Artificial intelligence and multimodal diagnostic approaches in cardiovascular disease.Archivos peruanos de cardiologia y cirugia cardiovascularReview
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Levodopa is the most common therapy to reduce motor symptoms of parkinsonism. However, levodopa has potential to exacerbate cardiovascular autonomic (CVA) dysfunction that may co-occur in patients. Heart rate variability (HRV) is the most common method for assessing CVA function, but broader monitoring of CVA function and levodopa effects is typically limited to clinical settings and symptom reporting, which fail to capture its holistic nature. In this study, we evaluated the feasibility of a multimodal wearable chest patch for monitoring changes in CVA function during clinical and 24-h ambulatory (at home) conditions in 14 patients: 11 with Parkinson's disease (PD) and 3 with multiple system atrophy (MSA). In-clinic data were analyzed to examine the effects of orally administered levodopa on CVA function using a pre (OFF) and 60-min (ON) post-exposure protocol. Wearable-derived physiological markers related to the electrical and mechanical activity of the heart alongside vascular function were extracted. Pre-ejection period (PEP) and ratio of PEP to left ventricular ejection time index (LVETi) increased significantly (p
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