Camera based estimation of respiration rate by analyzing shape and size variation of structured light
| Autor: | Vishnu Vardhan Makkapati, Sai Saketh Rambhatla |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry 02 engineering and technology Breathing cycle Signal 030218 nuclear medicine & medical imaging 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine Organ Motion medicine.anatomical_structure Intensive care Respiration Breathing medicine Abdomen Computer vision Segmentation Artificial intelligence Respiration rate business Structured light |
| Zdroj: | ICASSP |
| DOI: | 10.1109/icassp.2016.7472071 |
| Popis: | Respiration rate is a key parameter that is monitored in intensive care units. The current solutions for respiration rate require that a sensor is placed in contact with the subject to derive it. However, this will cause discomfort to the subject and may damage the fragile skin if the subject were a neonate. There are several other applications where the respiration signal is used in clinical settings. The respiration signal is used to correct for organ motion during diagnosis scans, e.g., computed tomography. It is expected that the respiration signal results in clear peaks and troughs during the breathing cycle of the subject so that these corrections can be made. We propose a contactless system and method by using a camera to derive a faithful respiration signal. We project a circular dot of light onto the chest and abdomen region of the subject and monitor the shape and size changes of it using a camera. In an oblique projection of the structured light, both the shape and size of the dot will vary with breathing. We segment the dot and derive the respiration signal from it. Numerical results presented show that we are able to obtain the respiration rate accurately. |
| Databáze: | OpenAIRE |
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