Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Woon Chong"'
Autor:
Yifan Li, Alan W. Pang, Jad Zeitouni, Ferris Zeitouni, Kirby Mateja, John A. Griswold, Jo Woon Chong
Publikováno v:
Sensors; Volume 22; Issue 23; Pages: 9430
The abbreviated injury score (AIS) is commonly used as a grading system for inhalation injuries. While inhalation injury grades have inconsistently been shown to correlate positively with the time mechanical ventilation is needed, grading is subjecti
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 15
Sensors, Vol 19, Iss 15, p 3307 (2019)
Sensors
Volume 19
Issue 15
Sensors, Vol 19, Iss 15, p 3307 (2019)
In this paper, we propose a novel strep throat detection method using a smartphone with an add-on gadget. Our smartphone-based strep throat detection method is based on the use of camera and flashlight embedded in a smartphone. The proposed algorithm
Publikováno v:
Sensors
Volume 19
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 13, p 2846 (2019)
Volume 19
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 13, p 2846 (2019)
Photoplethysmography (PPG) is a commonly used in determining heart rate and oxygen saturation (SpO2). However, PPG measurements and its accuracy are heavily affected by the measurement procedure and environmental factors such as light, temperature, a
Autor:
Konrad Hartmann-Vaccarezza, Rifat Zaman, Gwonchan Yoon, Chae Ho Cho, Jo Woon Chong, Tra Nguyen Phan
Publikováno v:
Sensors, Vol 17, Iss 2, p 358 (2017)
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 2; Pages: 358
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 2; Pages: 358
We hypothesize that our fingertip image-based heart rate detection methods using smartphone reliably detect the heart rhythm and rate of subjects. We propose fingertip curve line movement-based and fingertip image intensity-based detection methods, w
Publikováno v:
Smart Materials and Structures. 22:015003
This paper proposes a novel structural health monitoring framework for damage detection of smart structures. The framework is developed through the integration of the discrete wavelet transform, an autoregressive (AR) model, damage-sensitive features