Abstract
Objective: Contactless monitoring of instantaneous heart rate and respiration rate has a significant clinical relevance. This work aims to use Speckle Vibrometry (i.e., based on the secondary laser speckle effect) to contactlessly measure these two vital signs in an intensive care unit. Methods: In this work, we propose an algorithm for the estimation of instantaneous heart rate and respiration rate from mechanically ventilated patients. The algorithm uses multiple regions, principal component analysis, and dominant angle analysis. A semi-automated peak detection method is implemented to precisely label the aortic valve opening peak within the cardiac waveform. Results: Compared with electrocardiography, the present work achieves limits of agreement of [-2.19, 1.73] beats per minute of instantaneous heart rate. The measurement spot is on the chest covered with two to three layers of duvet blankets. Compared with the airway flow signal measured by the mechanical ventilator, the present work achieves limits of agreement of [-0.68, 0.46] respirations per minute of instantaneous respiration rate. Conclusions: These results showcased Speckle Vibrometry's potential in vital sign monitoring in a clinical setting. Significance: This is the first human clinical study for Speckle Vibrometry.
Original language | English |
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Article number | 6374 |
Number of pages | 22 |
Journal | Sensors |
Volume | 24 |
Issue number | 19 |
DOIs | |
Publication status | Published - 1 Oct 2024 |
Funding
This research was funded by the NWO/HTSM program. In addition, Philips Research has provided financial support for the project, but they had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. This research was funded by the NWO/HTSM program in the context of the project: Unobtrusive Monitoring of Sleep Apnea, UMOSA (Grant Number 17117). The APC was funded by the same program (Grant Number 17117).
Funders | Funder number |
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Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
High Tech Systemen en Materialen (HTSM) | 17117 |
Keywords
- Humans
- Heart Rate/physiology
- Respiratory Rate/physiology
- Respiration, Artificial/methods
- Monitoring, Physiologic/methods
- Algorithms
- Electrocardiography/methods
- Male
- Vibration
- Female
- Signal Processing, Computer-Assisted
- Middle Aged
- laser speckle
- contactless
- vital sign monitoring
- speckle vibrometry
- instantaneous respiration rate
- instantaneous heart rate
- ICU
- camera
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Sleep Medicine
van Gilst, M. M. (Content manager) & van der Hout-van der Jagt, M. B. (Content manager)
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