Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Fatemehsadat Tabei"'
Publikováno v:
IEEE Access, Vol 8, Pp 11534-11545 (2020)
Recently, smartphones with mobile health applications have become promising tools in the healthcare industry due to their convenience, ubiquity for patients, and the ability to gather data in real time. In this paper, we propose a novel non-invasive,
Externí odkaz:
https://doaj.org/article/a182431f3b564bfbbd22f66086c779b5
Publikováno v:
IEEE Access, Vol 6, Pp 60498-60512 (2018)
Photoplethysmography (PPG) is a technique to detect blood volume changes in an optical way. Representative PPG applications are the measurements of oxygen saturation, heart rate, and respiratory rate. However, the PPG signals are sensitive to motion
Externí odkaz:
https://doaj.org/article/bf7abf1da2eb472e922a4781bd869a7d
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218248 (2019)
The advent of smartphones has advanced the use of embedded sensors to acquire various physiological information. For example, smartphone camera sensors and accelerometers can provide heart rhythm signals to the subjects, while microphones can give re
Externí odkaz:
https://doaj.org/article/dd4a496b0a30480d88c44adcea6d791f
Publikováno v:
IEEE Sensors Journal. 21:878-885
Bicycle riders are exposed to accident injuries such as head trauma. The risk of these riders’ injuries is higher compared to the risk of injuries for motorists. Crashes, riders’ errors, and environmental hazards are the cause of bicycle-related
Autor:
Fatemehsadat Tabei, Mostafa Abohelwa, Daniel Davis, Pooja Sethi, Kenneth Nugent, Jo Woon Chong
Publikováno v:
2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT).
Autor:
Kyung Ho Kim, Fatemehsadat Tabei, Sung Eun Seo, Golanz Moallem, Seon Joo Park, Oh Seok Kwon, Jo Woon Chong, Behnam Askarian
Publikováno v:
Journal of Industrial and Engineering Chemistry. 77:1-11
Advancement in nanoscience technology has presented various sensing platform, and the development of biotechnology has found bioprobes for disease diagnostics, leading to nanobiosensors. Although they show high sensitivity and excellent selectivity f
Publikováno v:
2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT).
Keratoconus is a progressive corneal disease which may cause blindness if it is not detected in the early stage. In this paper, we propose a portable, low-cost, and robust keratoconus detection method which is based on smartphone camera images. A gad
Publikováno v:
2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT).
Health parameters such as heart rhythm, blood pressure, and the level of oxygen saturation in the blood could be measured with photoplethysmography (PPG) signal. The advent of smartphone camera sensors has enabled the extraction of PPG signals from s
Publikováno v:
2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT).
In this paper, we propose a novel periodontal disease detection method using smartphones, image processing, and machine learning techniques. Periodontal disease is an inflammatory disease known to be the main cause of tooth loss. Here, a CIELAB color
Autor:
Duy Le-Anh, Chae Ho Cho, Jo Woon Chong, Fatemehsadat Tabei, Ki H. Chon, Nada Esa, David D. McManus
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:230-239
We have recently found that our previously-developed atrial fibrillation (AF) detection algorithm for smartphones can give false positives when subjects’ fingers or hands move, as we rely on proper finger placement over the smartphone camera to col