ArticleIEEE journal of translational engineering in health and medicine2026
Computerized Platform in Hindi Language: Exploring Its Use in Aphasia Screening.
Article in IEEE journal of translational engineering in health and medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAphasia is a frequent sequela of stroke, affecting approximately 25%-40% of stroke survivors due to focal damage to language-related brain regions. In resource-constrained settings like India, timely screening is limited by the cost of neuroimaging and the time-intensive nature of conventional pen-and-paper assessments. This study presents a Computerized Hindi Aphasia Screening Platform offering various tasks (CHASP), a computer-based multimodal screening platform designed to objectively differentiate aphasic and non-aphasic post-stroke individuals from healthy controls.
methodsCHASP integrates Acoustic, and Visual and Reading tasks with a sensor-enabled base station for response-time quantification and a physiology-based module for acquiring photoplethysmography-derived interbeat interval (IBI) as a biomarker of cognitive processing. Post-stroke participants were independently assessed using the Western Aphasia Battery (WAB), the gold-standard clinical tool. Performance scores from CHASP and relevant sections of WAB were compared for exploring clinical relevance.
resultsThe CHASP task modules reliably differentiated post-stroke participants from healthy controls across performance scores, response times, and IBI. The Acoustic tasks could distinguish the aphasic and non-aphasic groups, particularly through task scores and IBI measures. Strong correlations were observed between CHASP performance scores and corresponding WAB scores, supporting the clinical validity of the proposed platform.
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.