SynthesisMedical & biological engineering & computing2022
Real-time visual analytics for in-home medical rehabilitation of stroke patient-systematic review.
Synthesis in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Review
- VIGMA: An Open-Access Framework for Visual Gait and Motion Analytics.IEEE transactions on visualization and computer graphics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper is focused on real-time visual analytics for home-based rehabilitation dedicated for brain stroke survivors. This research is at the intersection of three main domains: visual analytics for time-oriented data and dynamic visual analytics with specific focus on data analytics for rehabilitation systems. This study has emphasized the analysis of the most important research works in these domains. The studies included in this review are published between January 2008 and December 2020 that met eligibility criteria. From 243 papers retrieved from research including the Google Scholar database and manual research, 69 papers were finally included. This paper presents a classification of the reviewed research based on key features required by the visual analytics for real-time monitoring of patients. The findings suggested that real-time monitoring visual analytics for biodata captured during the rehabilitation sessions was not sufficiently addressed by previous research. To provide real-time monitoring visual analytics of biodata, the concept of a unified framework that combines the processing of batch and stream data in a distributed architecture is proposed. The system is currently under development; its validation will be carried out by an experimental study and the evaluation of the system performance.
Indexed as
Identifiers
35103922What 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.