ArticleBiomedical journal2018
Wearable sensors for the monitoring of movement disorders.
Article in Biomedical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04291716 (Validation of an Algorithm for Identification and Notification of Generalized Major Motor Seizures), which is not on this map. Cited by 21 papers.
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.
Validation of an Algorithm for Identification and Notification of Generalized Major Motor Seizures
Who cites it
21 citing papers in PubMed.
- Freezing of Gait in Parkinson's Disease: A Scoping Review on the Path Towards Real-Time Therapies.Sensors (Basel, Switzerland) · 2026Article
- The Changing Face of Dystonia-Enhancing Diagnosis by Moving Beyond Traditional Clinical Phenotyping.Movement disorders clinical practice · 2025Article
- Opportunities and Limitations of Wrist-Worn Devices for Dyskinesia Detection in Parkinson's Disease.Sensors (Basel, Switzerland) · 2025Article
- Integrating Artificial Intelligence-Driven Wearable Technology in Oncology Decision-Making: A Narrative Review.Oncology · 2025Review
- Better Understanding Rehabilitation of Motor Symptoms: Insights from the Use of Wearables.Pragmatic and observational research · 2025Review
- Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study.JMIR medical informatics · 2024Article
- Research on Monitoring Assistive Devices for Rehabilitation of Movement Disorders through Multi-Sensor Analysis Combined with Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- Machine Learning-Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study.JMIR formative research · 2024Article
- Influencing factors of corticomuscular coherence in stroke patients.Frontiers in human neuroscience · 2024Review
- Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data.Journal of personalized medicine · 2023Review
- Multimodal video and IMU kinematic dataset on daily life activities using affordable devices.Scientific data · 2023Article
- Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus.Sensors (Basel, Switzerland) · 2022Review
- Human activity recognition of children with wearable devices using LightGBM machine learning.Scientific reports · 2022Article
- Remote Healthcare for Elderly People Using Wearables: A Review.Biosensors · 2022Review
- A qualitative examination of the factors affecting the adoption of injury focused wearable technologies in recreational runners.PloS one · 2022Article
- Development and Progress in Sensors and Technologies for Human Emotion Recognition.Sensors (Basel, Switzerland) · 2021Review
- Parkinson's disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms - a patient and healthcare professional perspective.BMC neurology · 2020Article
- Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis.Scientific reports · 2020Article
- Robust Plug-and-Play Joint Axis Estimation Using Inertial Sensors.Sensors (Basel, Switzerland) · 2020Article
- Wavelet-Based Analysis of Physical Activity and Sleep Movement Data from Wearable Sensors among Obese Adults.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper offers a review of the implementation of current wearable sensing technologies in monitoring the movement and activity of patients suffering from movement disorders. Recent literature has focused on incorporating simple and reliable wearable technologies for the continuous and objective monitoring of patient movement during normal daily activities. However, the use of such wearable sensing technologies has yet to find its way to clinical practice. In the following, the basic elements of such monitoring systems and their applications are introduced, and a discussion regarding current clinical applications is presented.
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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.