Remote Breathing Monitoring Using LiDAR Technology
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910413121126400 |
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| author | Rinchi, Omar Alsharoa, Ahmad Baker, Denise A. |
| author_facet | Rinchi, Omar Alsharoa, Ahmad Baker, Denise A. |
| contents | Breathing monitoring is crucial in healthcare for early detection of health issues, but traditional methods face challenges like invasiveness, privacy concerns, and limited applicability in daily settings. This paper introduces light detection and ranging (LiDAR) sensors as a remote, privacy-respecting alternative for monitoring breathing metrics, including inhalation/exhalation patterns, respiratory rates, breath depth, and detecting breathlessness. We highlight LiDARs ability to function across various postures, presenting empirical evidence of its accuracy and reliability. Our findings position LiDAR as an innovative solution in breathing monitoring, offering significant advantages over conventional methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_10970 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Remote Breathing Monitoring Using LiDAR Technology Rinchi, Omar Alsharoa, Ahmad Baker, Denise A. Image and Video Processing Human-Computer Interaction Signal Processing Breathing monitoring is crucial in healthcare for early detection of health issues, but traditional methods face challenges like invasiveness, privacy concerns, and limited applicability in daily settings. This paper introduces light detection and ranging (LiDAR) sensors as a remote, privacy-respecting alternative for monitoring breathing metrics, including inhalation/exhalation patterns, respiratory rates, breath depth, and detecting breathlessness. We highlight LiDARs ability to function across various postures, presenting empirical evidence of its accuracy and reliability. Our findings position LiDAR as an innovative solution in breathing monitoring, offering significant advantages over conventional methods. |
| title | Remote Breathing Monitoring Using LiDAR Technology |
| topic | Image and Video Processing Human-Computer Interaction Signal Processing |
| url | https://arxiv.org/abs/2404.10970 |