Generating a "heat map" of signal quality for the PhysioCam
Study on Improving Pulse-Detecting Camera Technology
Brief description of study.
The purpose of this study is to improve our pulse-detecting camera (the PhysioCam). By changing the lighting on your face, we will have a chance to test our code that generates a “heat map” of signal quality, showing which sections of the face are giving us the strongest pulse signal. Through this study, we hope to find the ideal lighting and camera conditions so that we can get the best signal quality possible in data collection for future studies.
Eligibility of study
You may be eligible for this study if you meet the following criteria:
- Conditions: Healthy
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Age: 18 years - 100 years
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Gender: All
Inclusion Criteria:
Subjects must be at least 18 years of age.
Exclusion Criteria:
Participants must not be taking medications for cardiac conditions or blood pressure regulation. Also excluded will be those with a pacemaker, and those prone to claustrophobia.
This study investigates the use of a pulse-detecting camera, known as the PhysioCam, to improve the detection of pulse signals on the face. The purpose is to find the best lighting and camera conditions for capturing high-quality pulse data. By altering the lighting on participants' faces, researchers aim to generate a 'heat map' that identifies the strongest pulse signals.
Participants will undergo procedures where different lighting conditions are applied to their faces while the camera records the pulse signals. These procedures help in testing the effectiveness of the code used to create the heat map, ensuring that the best possible signal quality is achieved for future studies.
- Who can participate: Adults aged 18 and older can participate. Individuals taking medications for cardiac conditions or blood pressure, those with a pacemaker, and individuals prone to claustrophobia are excluded.
- Study details: Participants will have their faces exposed to different lighting conditions while a camera records their pulse signals. The study aims to find optimal conditions for capturing pulse data.