Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review
PH Charlton, DA Birrenkott, T Bonnici… - IEEE reviews in …, 2017 - ieeexplore.ieee.org
Breathing rate (BR) is a key physiological parameter used in a range of clinical settings.
Despite its diagnostic and prognostic value, it is still widely measured by counting breaths …
Despite its diagnostic and prognostic value, it is still widely measured by counting breaths …
Recent development of respiratory rate measurement technologies
Respiratory rate (RR) is an important physiological parameter whose abnormality has been
regarded as an important indicator of serious illness. In order to make RR monitoring simple …
regarded as an important indicator of serious illness. In order to make RR monitoring simple …
The secondary use of electronic health records for data mining: Data characteristics and challenges
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …
management of patients' health-related information. However, these records have also been …
A comprehensive survey on imputation of missing data in internet of things
The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …
communication technologies, and Internet protocols with broad applications. Collecting data …
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
In secondary analysis of electronic health records, a crucial task consists in correctly
identifying the patient cohort under investigation. In many cases, the most valuable and …
identifying the patient cohort under investigation. In many cases, the most valuable and …
[HTML][HTML] Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective Temporal electronic health records (EHRs) contain a wealth of information for
secondary uses, such as clinical events prediction and chronic disease management …
secondary uses, such as clinical events prediction and chronic disease management …
Road surface monitoring using smartphone sensors: A review
S Sattar, S Li, M Chapman - Sensors, 2018 - mdpi.com
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to
road users. The key to road surface condition monitoring is to detect road surface anomalies …
road users. The key to road surface condition monitoring is to detect road surface anomalies …
Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision …
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
Big data analytics in healthcare
A vast volume of digitized clinical data has been generated and accumulated rapidly since
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
An integrated Delphi-MCDM-Bayesian Network framework for production system selection
Several attempts are needed to choose the most compatible production system for achieving
the desired manufacturing outputs. The significant role of manufacturing strategy …
the desired manufacturing outputs. The significant role of manufacturing strategy …