Prediction of access failures
Low vascular access blood flow is associated with an increased risk of thrombosis. A newly developed ultrasonic device (Transonic Demodialysis Monitor) (Manufactured by Transonic Systems Inc., Ithaca, New York, USA) that measures access flow and recirculation based on the Fick – principle of dilutio...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/5669 |
| _version_ | 1826122281469870080 |
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| author | Deepa Narayan |
| author2 | Ritchie, Alastair Campbell |
| author_facet | Ritchie, Alastair Campbell Deepa Narayan |
| author_sort | Deepa Narayan |
| collection | NTU |
| description | Low vascular access blood flow is associated with an increased risk of thrombosis. A newly developed ultrasonic device (Transonic Demodialysis Monitor) (Manufactured by Transonic Systems Inc., Ithaca, New York, USA) that measures access flow and recirculation based on the Fick – principle of dilution has gained widespread clinical acceptance recently. |
| first_indexed | 2024-10-01T05:45:56Z |
| format | Thesis |
| id | ntu-10356/5669 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T05:45:56Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/56692023-03-11T16:59:55Z Prediction of access failures Deepa Narayan Ritchie, Alastair Campbell School of Mechanical and Production Engineering DRNTU::Engineering::Bioengineering Low vascular access blood flow is associated with an increased risk of thrombosis. A newly developed ultrasonic device (Transonic Demodialysis Monitor) (Manufactured by Transonic Systems Inc., Ithaca, New York, USA) that measures access flow and recirculation based on the Fick – principle of dilution has gained widespread clinical acceptance recently. Master of Science (Biomedical Engineering) 2008-09-17T10:56:16Z 2008-09-17T10:56:16Z 2003 2003 Thesis http://hdl.handle.net/10356/5669 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Bioengineering Deepa Narayan Prediction of access failures |
| title | Prediction of access failures |
| title_full | Prediction of access failures |
| title_fullStr | Prediction of access failures |
| title_full_unstemmed | Prediction of access failures |
| title_short | Prediction of access failures |
| title_sort | prediction of access failures |
| topic | DRNTU::Engineering::Bioengineering |
| url | http://hdl.handle.net/10356/5669 |
| work_keys_str_mv | AT deepanarayan predictionofaccessfailures |