Smart automated heart health monitoring using photoplethysmography signal classification
-
Remya Raj
,
Jayakumar Selvakumar
Abstract
This paper proposes a smart, automated heart health-monitoring (SAHM) device using a single photoplethysmography (PPG) sensor that can monitor cardiac health. The SAHM uses an Orthogonal Matching Pursuit (OMP)-based classifier along with low-rank motion artifact removal as a pre-processing stage. Major contributions of the proposed SAHM device over existing state-of-the-art technologies include these factors: (i) the detection algorithm works with robust features extracted from a single PPG sensor; (ii) the motion compensation algorithm for the PPG signal can make the device wearable; and (iii) the real-time analysis of PPG input and sharing through the Internet. The proposed low-cost, compact and user-friendly PPG device can also be prototyped easily. The SAHM system was tested on three different datasets, and detailed performance analysis was carried out to show and prove the efficiency of the proposed algorithm.
Funding source: Ministry of Electronics and Information technology
Award Identifier / Grant number: 587
Acknowledgments
The authors are also thankful to SRM Institute of Science and Technology for the infrastructural and computational support.
Research funding: Supported by Visvesvaraya PhD Scheme, Meity, Government of India <587>.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: Authors state no conflict of interest.
Ethical approval: The conducted research is not related to either human or animal use.
Informed consent: Informed consent is not applicable.
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Review
- Surrogate based continuous noninvasive blood pressure measurement
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- Smart automated heart health monitoring using photoplethysmography signal classification
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- A patient-independent classification system for onset detection of seizures
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Articles in the same Issue
- Frontmatter
- Review
- Surrogate based continuous noninvasive blood pressure measurement
- Research Articles
- Smart automated heart health monitoring using photoplethysmography signal classification
- In vivo evaluation of two adaptive Starling-like control algorithms for left ventricular assist devices
- A patient-independent classification system for onset detection of seizures
- Prediction of salivary cortisol level by electroencephalography features
- Confocal laser microscopy without fluorescent dye in minimal-invasive thoracic surgery: an ex-vivo pilot study in lung cancer
- Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm
- Experimental and numerical investigations of fracture and fatigue behaviour of implant-supported bars with distal extension made of three different materials
- Compression and tension behavior of the prosthetic foam materials polyurethane, EVA, Pelite™ and a combination of polyurethane and EVA: a preliminary study
- Evaluation of a novel stair-climbing transportation aid for emergency medical services
