Standalone system for Q onset and T offset detection using digital signal processing processor
Also available in printed version : R856 G64 2012 raf
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| Format: | Master's thesis |
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Universiti Teknologi Malaysia
2025
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| Accès en ligne: | https://utmik.utm.my/handle/123456789/100168 |
| Abstract | Abstract here |
| _version_ | 1854975113042067456 |
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| author | Goh, Chun Seng |
| author2 | Sheikh Hussain Shaikh Salleh, supervisor |
| author_facet | Sheikh Hussain Shaikh Salleh, supervisor Goh, Chun Seng |
| author_sort | Goh, Chun Seng |
| description | Also available in printed version : R856 G64 2012 raf |
| format | Master's thesis |
| id | utm-123456789-100168 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-1001682025-08-21T12:27:48Z Standalone system for Q onset and T offset detection using digital signal processing processor Goh, Chun Seng Sheikh Hussain Shaikh Salleh, supervisor Biomedical engineering Signal processing -- Digital techniques Also available in printed version : R856 G64 2012 raf The electrocardiograph (ECG) is a non invasive method to evaluate patients' heart condition in clinical environment. Small sized ECG monitoring equipment is used by physicians and cardiologists to monitor heart condition. However, some of the problems arise in these small sized equipment is non-reconfigurable and provides only the measured ECG results, whereby there is no analysis assessment is done on the measured ECG. Therefore, a standalone DSP prototype for ECG monitoring is developed in order to assist physicians and researchers in carrying out their research on ECG monitoring. Automated QT interval against the manual method studied by European medicines agency (EMEA) in 2008 shows more focus on healthy subject. Therefore, the ECG monitoring parameter chosen in this thesis is Q onset and T offset point detection. The development of the standalone DSP prototype system consists of several units. The first unit includes floating point digital signal processor which is selected for the development of signal processing with memory circuit. The following unit includes the development of signal monitoring displays circuit with universal serial bus (USB) interface. The third unit includes the development of analog front end (AFE) circuit and merged with signal conditioning circuit. The experiment setup is to study the deviation mean error of Q onset and T offset point detection for standalone DSP prototype (floating point DSP processor, TMS320VC33) and compare the results with the DSK5510 commercial DSP starter kit (fixed point DSP processor, TMS320VC5510). The experiment results are validated using an annotated data set for diagnostic ECG data base, the Physikalisch Technische Bundesanstalt which was the focus for international QT Interval Challenge 2006. The standalone DSP prototype shows the deviation mean error results from annotated data set for Q onset is 6.55 ms (millisecond) and T offset is 4.9 ms (millisecond), but the DSK5510 gives higher deviation mean error results for Q onset is 7.87 ms (millisecond) and T offset is 7 ms (millisecond). In conclusion, the standalone DSP prototype has better performance and accuracy atiff UTM 165 p. Thesis (Sarjana Kejuruteraan (Biomedical)) - Universiti Teknologi Malaysia, 2012 2025-04-10T03:45:34Z 2025-04-10T03:45:34Z 2012 Master's thesis https://utmik.utm.my/handle/123456789/100168 valet-20160114-091024 vital:83296 Closed Access UTM Complete Unpublished application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Biomedical engineering Signal processing -- Digital techniques Goh, Chun Seng Standalone system for Q onset and T offset detection using digital signal processing processor |
| thesis_level | Master |
| title | Standalone system for Q onset and T offset detection using digital signal processing processor |
| title_full | Standalone system for Q onset and T offset detection using digital signal processing processor |
| title_fullStr | Standalone system for Q onset and T offset detection using digital signal processing processor |
| title_full_unstemmed | Standalone system for Q onset and T offset detection using digital signal processing processor |
| title_short | Standalone system for Q onset and T offset detection using digital signal processing processor |
| title_sort | standalone system for q onset and t offset detection using digital signal processing processor |
| topic | Biomedical engineering Signal processing -- Digital techniques |
| url | https://utmik.utm.my/handle/123456789/100168 |
| work_keys_str_mv | AT gohchunseng standalonesystemforqonsetandtoffsetdetectionusingdigitalsignalprocessingprocessor |