ReviewBiophysical reviews2019
A review of big data applications of physiological signal data.
Review in Biophysical reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Implementation of a pragmatic pathway to ensure high-quality processing of heterogeneous remote health sensing data.Smart health (Amsterdam, Netherlands) · 2026Article
- PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit.Proceedings of machine learning research · 2025Article
- Passenger physiology in self-driving vehicles during unexpected events.Scientific reports · 2025Article
- Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse.Journal of medical systems · 2024Article
- Unveiling productivity: The interplay of cognitive arousal and expressive typing in remote work.PloS one · 2024Article
- From bed to bench and back again: Challenges facing deployment of intracranial pressure data analysis in clinical environments.Brain & spine · 2024Review
- Article
- Enabling Timely Medical Intervention by Exploring Health-Related Multivariate Time Series with a Hybrid Attentive Model.Sensors (Basel, Switzerland) · 2022Article
- Consilience of methods for phylogenetic analysis of variance.Evolution; international journal of organic evolution · 2022Article
- Robustness of electrocardiogram signal quality indices.Journal of the Royal Society, Interface · 2022Review
- Development and Validation of a Dynamic Prediction Model for Massive Hemorrhage in Trauma.Emergency medicine international · 2022Article
- Forecasting adverse surgical events using self-supervised transfer learning for physiological signals.NPJ digital medicine · 2021Article
- Hactive: a smartphone application for heart rate profiling.Biophysical reviews · 2020Article
- Neurocritical Care: Bench to Bedside (Eds. Claude Hemphill, Michael James) Integrating and Using Big Data in Neurocritical Care.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020Review
- Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals.Journal of healthcare engineering · 2020Article
- The use of data science to analyse physiology of oxygen delivery in the extracorporeal circulation.BMC cardiovascular disorders · 2019Observational
- Big data: the elements of good questions, open data, and powerful software.Biophysical reviews · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The proliferation of smart physiological signal monitoring sensors, combined with the advancement of telemetry and intelligent communication systems, has led to an explosion in healthcare data in the past few years. Additionally, access to cheaper and more effective power and storage mechanisms has significantly increased the availability of healthcare data for the development of big data applications. Big data applications in healthcare are concerned with the analysis of datasets which are too big, too fast, and too complex for healthcare providers to process and interpret with existing tools. The driver for the development of such systems is the continuing effort in making healthcare services more efficient and sustainable. In this paper, we provide a review of current big data applications which utilize physiological waveforms or derived measurements in order to provide medical decision support, often in real time, in the clinical and home environment. We focus mainly on systems developed for continuous patient monitoring in critical care and discuss the challenges that need to be overcome such that these systems can be incorporated into clinical practice. Once these challenges are overcome, big data systems have the potential to transform healthcare management in the hospital of the future.
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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.