ArticleScientific data2025
A Multimodal Dataset of Cardiac, Electrodermal, and Environmental Signals.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- A Multimodal Dataset of Cardiac, Electrodermal, and Environmental Signals.Scientific data · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a rapidly evolving technological landscape across various industries, the emergence of real-time, context-aware solutions for health monitoring holds great promise. The dataset presented here encompasses signals from two domains. Ambient environment signals and physiological responses are captured to provide context for well-being assessment. Cardiac activity and electrodermal activity were selected as health indicators, while indoor ambient conditions were characterized by parameters such as temperature, humidity, light, sound, pressure and air quality as determined by Volatile Organic Compounds (VOCs) and Particulate Matter (PM). Data collection involved 14 participants, with each participant contributing approximately 48 minutes of data. This process resulted in a total of over 600 minutes of data, recorded under varied indoor ambient conditions. This dataset was utilized for classifying ambient environment risks concerning long-term cardiac health and for estimating physiological responses exclusively from ambient environment parameters. The compiled dataset provides opportunities for examining the connections between indoor climates and individuals' well-being states in diverse environments, thereby enabling additional investigations and applications in the domain of context-aware technology.
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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.