Automating hospital ICU emergency signaling
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015.
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| Formato: | Tesis |
| Lenguaje: | English |
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BRAC University
2015
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| Acceso en línea: | http://hdl.handle.net/10361/4211 |
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10361-4211 |
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10361-42112019-09-30T04:16:17Z Automating hospital ICU emergency signaling Zahan, Fahmida Mahmud, Nusrat Nawshin, Amanna Ahmed, Ferdousi Electrical and electronic engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015. This thesis verifies that the proposed Kernel mapping based recursive least square algorithm can detect the slightest deviation of anomaly from the norm, monitor and learn underlying pattern between natural and abnormal multivariate medical parameters of a particular critical ICU patient with high detection accuracy and very low rate of false alarm. This online, automated, sequential, real-time intruder detection algorithm is suitable for any instantaneous detection of accidental emergencies without compromising the patient safety and effectiveness of care. It is an elegant, inexpensive solution, independent of complexity, and also a portable and adaptive approach. 2015-07-02T07:43:53Z 2015-07-02T07:43:53Z 2015-04 Thesis ID 10301012 ID 10301015 ID 10310003 ID 10310010 http://hdl.handle.net/10361/4211 en application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Electrical and electronic engineering |
| spellingShingle |
Electrical and electronic engineering Zahan, Fahmida Mahmud, Nusrat Nawshin, Amanna Ahmed, Ferdousi Automating hospital ICU emergency signaling |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015. |
| format |
Thesis |
| author |
Zahan, Fahmida Mahmud, Nusrat Nawshin, Amanna Ahmed, Ferdousi |
| author_facet |
Zahan, Fahmida Mahmud, Nusrat Nawshin, Amanna Ahmed, Ferdousi |
| author_sort |
Zahan, Fahmida |
| title |
Automating hospital ICU emergency signaling |
| title_short |
Automating hospital ICU emergency signaling |
| title_full |
Automating hospital ICU emergency signaling |
| title_fullStr |
Automating hospital ICU emergency signaling |
| title_full_unstemmed |
Automating hospital ICU emergency signaling |
| title_sort |
automating hospital icu emergency signaling |
| publisher |
BRAC University |
| publishDate |
2015 |
| url |
http://hdl.handle.net/10361/4211 |
| work_keys_str_mv |
AT zahanfahmida automatinghospitalicuemergencysignaling AT mahmudnusrat automatinghospitalicuemergencysignaling AT nawshinamanna automatinghospitalicuemergencysignaling AT ahmedferdousi automatinghospitalicuemergencysignaling |
| _version_ |
1814306897903222784 |