Title | A Comprehensive Study on Pain Assessment from Multimodal Sensor Data |
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Type | Journal article |
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Authors | Benavent-Lledo, M., Mulero-Pérez, David, Ortiz-Perez, David, Rodriguez-Juan, J., Berenguer-Agullo, Adrian, Psarrou, Alexandra and Garcia-Rodriguez, J. |
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Abstract | Pain assessment is a critical aspect of healthcare, influencing timely interventions and patient well-being. Traditional pain evaluation methods often rely on subjective patient reports, leading to inaccuracies and disparities in treatment, especially for patients who present difficulties to communicate due to cognitive impairments. Our contributions are three-fold. Firstly, we analyze the correlations of the data extracted from biomedical sensors. Then, we use state-of-the-art computer vision techniques to analyze videos focusing on the facial expressions of the patients, both per-frame and using the temporal context. We compare them and provide a baseline for pain assessment methods using two popular benchmarks: UNBC-McMaster Shoulder Pain Expression Archive Database and BioVid Heat Pain Database. We achieved an accuracy of over 96% and over 94% for the F1 Score, recall and precision metrics in pain estimation using single frames with the UNBC-McMaster dataset, employing state-of-the-art computer vision techniques such as Transformer-based architectures for vision tasks. In addition, from the conclusions drawn from the study, future lines of work in this area are discussed. |
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Keywords | Electrical and Electronic Engineering |
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| Biochemistry |
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| Instrumentation |
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| Atomic and Molecular Physics, and Optics |
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| Analytical Chemistry |
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Article number | 9675 |
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Journal | Sensors |
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Journal citation | 23 (24) |
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ISSN | 1424-8220 |
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Year | 2023 |
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Publisher | MDPI |
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Publisher's version | License CC BY 4.0 File Access Level Open (open metadata and files) |
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Digital Object Identifier (DOI) | https://doi.org/10.3390/s23249675 |
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PubMed ID | 38139521 |
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Publication dates |
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Published online | 07 Dec 2023 |
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Project | MCIN/AEI/10.13039/501100011033 |
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| TED2021-130890B-C21 |
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| 51808392 |
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| CIAICO/2022/132 |
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| FPU21/00414 |
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| CIACIF/2021/430 |
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Funder | “A way of making Europe” European Regional Development Fund |
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| “CHAN-TWIN” project |
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| HORIZON-MSCA-2021-SE-0 |
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| Valencian government and International Center for Aging Research ICAR funded project “IASISTEM” |
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| Spanish national and two regional grants for PhD studies |
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License | CC BY 4.0 |
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