ArticleSensors (Basel, Switzerland)2014
Wearability assessment of a wearable system for Parkinson's disease remote monitoring based on a body area network of sensors.
Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 6 syntheses or guidelines pooled it, 99 citations in OpenAlex.
- The Influence of Wearables on Health Care Outcomes in Chronic Disease: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Continuous home monitoring of Parkinson's disease using inertial sensors: A systematic review.PloS one · 2021Pooled it
- Wearable sensors for clinical applications in epilepsy, Parkinson's disease, and stroke: a mixed-methods systematic review.Journal of neurology · 2018Pooled it
- Pooled it
- Interactive wearable systems for upper body rehabilitation: a systematic review.Journal of neuroengineering and rehabilitation · 2017Pooled it
- Evaluating the efficacy of an active compression brace on orthostatic cardiovascular responses.PloS one · 2017Trial
- Heartrate variability biofeedback for migraine using a smartphone application and sensor: A randomized controlled trial.General hospital psychiatryTrial
- Remote Assessment of Parkinson Disease Using Deep Learning on Structured Mouse-Trace Data From Suspected Cases: Machine-Learning Pilot Feasibility Study.JMIR formative research · 2026Article
- Optimizing AI implementation for surgery: recommendations for infrastructure and deployment in the operating room.NPJ digital medicine · 2026Article
- Bilateral DLPFC transcranial direct current stimulation for mood and motor symptoms in Parkinson's disease: a preliminary study.Acta neuropsychiatrica · 2026Article
- Exploring the Dynamics of Canine-Assisted Interactions: A Wearable Approach to Understanding Interspecies Well-Being.Animals : an open access journal from MDPI · 2024Article
- Enhancing volleyball training: empowering athletes and coaches through advanced sensing and analysis.Frontiers in sports and active living · 2024Article
- Clinical application of a body area network-based smart bracelet for pre-hospital trauma care.Frontiers in medicine · 2023Article
- Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitorFrontiers in neurology · 2023Article
- Successful implementation of technology in the management of Parkinson's disease: Barriers and facilitators.Clinical parkinsonism & related disorders · 2023Review
- Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study.JMIR formative research · 2022Article
- A Comprehensive Review of the Recent Developments in Wearable Sweat-Sensing Devices.Sensors (Basel, Switzerland) · 2022Review
- Assessing the validity of inertial measurement units for shoulder kinematics using a commercial sensor-software system: A validation study.Health science reports · 2022Article
- Acceptability of an In-home Multimodal Sensor Platform for Parkinson Disease: Nonrandomized Qualitative Study.JMIR human factors · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wearable technologies for health monitoring have become a reality in the last few years. So far, most research studies have focused on assessments of the technical performance of these systems, as well as the validation of the clinical outcomes. Nevertheless, the success in the acceptance of these solutions depends not only on the technical and clinical effectiveness, but on the final user acceptance. In this work the compliance of a telehealth system for the remote monitoring of Parkinson's disease (PD) patients is presented with testing in 32 PD patients. This system, called PERFORM, is based on a Body Area Network (BAN) of sensors which has already been validated both from the technical and clinical point for view. Diverse methodologies (REBA, Borg and CRS scales in combination with a body map) are employed to study the comfort, biomechanical and physiological effects of the system. The test results allow us to conclude that the acceptance of this system is satisfactory with all the levels of effect on each component scoring in the lowest ranges. This study also provided useful insights and guidelines to lead to redesign of the system to improve patient compliance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.