ArticleJournal of medical systems2016
Bigdata Oriented Multimedia Mobile Health Applications.
Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework.Journal of medical systems · 2022Pooled it
- Protocol for a randomized controlled trial on the impact of a health action process approach model-based mobile health intervention via WeChat on health behaviors of brucellosis patients.Frontiers in public health · 2025Article
- Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing.Scientific reports · 2022Article
- Immersive virtual reality health games: a narrative review of game design.Journal of neuroengineering and rehabilitation · 2021Review
- Mechanism of Dopaminergic Nerve Transmission in Different Doses of Morphine Addiction and Stress-Induced Depression.Journal of healthcare engineering · 2021Article
- Visual saliency models for summarization of diagnostic hysteroscopy videos in healthcare systems.SpringerPlus · 2016Article
- High Accuracy Human Activity Recognition Based on Sparse Locality Preserving Projections.PloS one · 2016Article
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
In this paper, two mHealth applications are introduced, which can be employed as the terminals of bigdata based health service to collect information for electronic medical records (EMRs). The first one is a hybrid system for improving the user experience in the hyperbaric oxygen chamber by 3D stereoscopic virtual reality glasses and immersive perception. Several HMDs have been tested and compared. The second application is a voice interactive serious game as a likely solution for providing assistive rehabilitation tool for therapists. The recorder of the voice of patients could be analysed to evaluate the long-time rehabilitation results and further to predict the rehabilitation process.
Indexed as
Identifiers
27020918What 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.