| contributor author | Pandey, Sumit | |
| contributor author | Tan, Cher Ming | |
| contributor author | Chen, Hsiao-Wen | |
| contributor author | Xie, Yao En | |
| contributor author | Tung, Jung Hua | |
| contributor author | Kau, Yu-Chuan | |
| contributor author | Liao, Chia-Chih | |
| date accessioned | 2019-09-18T09:00:56Z | |
| date available | 2019-09-18T09:00:56Z | |
| date copyright | 5/2/2019 12:00:00 AM | |
| date issued | 2019 | |
| identifier issn | 1932-6181 | |
| identifier other | med_013_02_021011 | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4257895 | |
| description abstract | Oximeter is an important clinical device used for measuring peripheral capillary oxygen saturation (SpO2) in blood and hence accurate results are needed in order to help physicians predict clinical problems in the initial stage(s) of liver or kidney diagnosis. Different issues associated with the accuracy of SpO2 and heart rate measurement accuracy are studied in this work. With the understanding of these issues, a new SpO2 monitoring system is proposed that comprises of a better detection method, novel discrete time signal processing (DTSP) algorithm, and a custom-made oximeter probe head. The proposed SpO2 measurement system is capable of determining low levels of SpO2 present in human blood and produce the results in a short time that enable real-time monitoring of a patient SpO2. It can also distinguish low level of SpO2 against background noise. | |
| publisher | American Society of Mechanical Engineers (ASME) | |
| title | Pulse Oximeter for Low SpO2 Level Detection Using Discrete Time Signal Processing Algorithm | |
| type | Journal Paper | |
| journal volume | 13 | |
| journal issue | 2 | |
| journal title | Journal of Medical Devices | |
| identifier doi | 10.1115/1.4043588 | |
| journal fristpage | 21011 | |
| journal lastpage | 021011-8 | |
| tree | Journal of Medical Devices:;2019:;volume( 013 ):;issue: 002 | |
| contenttype | Fulltext | |
