ArticleIEEE journal of translational engineering in health and medicine2020
Automated Detection of Symptomatic Autonomic Dysreflexia Through Multimodal Sensing.
Article in IEEE journal of translational engineering in health and medicine, 2020. 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, 13 citations in OpenAlex.
- Wearable Wireless Body Area Networks for Medical Applications.Computational and mathematical methods in medicine · 2021Pooled it
- Robust learning framework for a scalable remote monitoring of autonomic dysreflexia: use-case in spinal cord injury.Scientific reports · 2026Article
- Advancing spinal cord injury care through non-invasive autonomic dysreflexia detection with AI.Scientific reports · 2024Article
- SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies.World neurosurgery: X · 2024Review
- Time and frequency domain analysis of physiological features during autonomic dysreflexia after spinal cord injury.Frontiers in neuroscience · 2023Article
- Synuclein in red blood cells: a potential biomarker for multiple system atrophy, and other updates on recent autonomic research.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2020Article
- Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring.IEEE journal of translational engineering in health and medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAutonomic Dysreflexia (AD) is a potentially life-threatening syndrome which occurs in individuals with higher level spinal cord injuries (SCI). AD is caused by triggers which can lead to rapid escalation of pathophysiological responses and if the trigger is not removed, AD can be fatal. There is currently no objective, non-invasive and accurate monitoring system available to automatically detect the onset of AD symptoms in real time in a non-clinical setting. Technology or Method: We developed a user-independent method of symptomatic AD detection in real time with a wearable physiological telemetry system (PTS) and a machine learning model using data from eleven participants with SCI.
resultsThe PTS could detect onset of AD symptoms with an average accuracy of 94.10% and a false negative rate of 4.89%.
conclusionsThe PTS can detect the onset of the symptoms AD with high sensitivity and specificity to assist people with SCIs in preventing the occurrence of AD. It would enable persons with high level SCIs to be more independent and pursue vocational activities while granting continuous medical oversight. Clinical Impact: The PTS could serve as a supplementary tool to current solutions to detect the onset of AD and prepare individuals who are newly injured to be better prepared for AD episodes. Moreover, it could be translated into a system to encourage individuals to practice better healthcare management to prevent future occurrences.
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.