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Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study for Chocolate
Traditional methods to assess heart rate (HR) and blood pressure (BP) are intrusive and can affect results in sensory analysis of food as participants are aware of the sensors. This paper aims to validate a non-contact method to measure HR using the photoplethysmography (PPG) technique and to develo...
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| Published in: | Sensors (Basel) |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6022164/ https://ncbi.nlm.nih.gov/pubmed/29865289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18061802 |
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