Abstract
Systole and diastole are the fundamental periods of the
cardiac cycle and their relative duration is used to
evaluate heart function in various physiological and
pathological conditions. In clinical practice, systolic
diastolic interval is generally measured using
echocardiography. However, recent studies have shown
that the QT and TQ intervals of the electrocardiogram
(ECG) signal can be used as surrogate systolic and
diastolic intervals respectively and the ratio of beat-to
beat QT-TQ intervals can be used as the systolic-diastolic
interval interaction (SDI) parameter. In this study, we
propose a new parameter, beat-to-beat TQ-RR ratio, to
investigate the SDI. Performance of both QT-TQ and TQ
RR based SDI measures were analyzed using a case study
to detect and monitor the progression of cardiac
autonomic neuropathy (CAN) in diabetes. ECGs recorded
in supine resting condition of 72 diabetic subjects with no
CAN (CAN-) and 70 diabetic subjects with CAN were
analyzed in this study. Fifty-five subjects of the CAN
group had early level of CAN (ECAN) and 15 subjects
were at the severe or definite stage of CAN (DCAN). The
results show that variability of the TQ-RR based SDI
measure can significantly (p<0.001) differentiate all
three groups (CAN-, ECAN and DCAN) and the level of
CAN. In contrast, the variability of the QT-TQ based SDI
measures showed significant difference only between
CAN- and DCAN groups. This result suggested that TQ
RR based SDI analysis was more sensitive in tracking
progression of CAN than the QT-TQ based approach,
which is crucial for the early detection of CAN.
cardiac cycle and their relative duration is used to
evaluate heart function in various physiological and
pathological conditions. In clinical practice, systolic
diastolic interval is generally measured using
echocardiography. However, recent studies have shown
that the QT and TQ intervals of the electrocardiogram
(ECG) signal can be used as surrogate systolic and
diastolic intervals respectively and the ratio of beat-to
beat QT-TQ intervals can be used as the systolic-diastolic
interval interaction (SDI) parameter. In this study, we
propose a new parameter, beat-to-beat TQ-RR ratio, to
investigate the SDI. Performance of both QT-TQ and TQ
RR based SDI measures were analyzed using a case study
to detect and monitor the progression of cardiac
autonomic neuropathy (CAN) in diabetes. ECGs recorded
in supine resting condition of 72 diabetic subjects with no
CAN (CAN-) and 70 diabetic subjects with CAN were
analyzed in this study. Fifty-five subjects of the CAN
group had early level of CAN (ECAN) and 15 subjects
were at the severe or definite stage of CAN (DCAN). The
results show that variability of the TQ-RR based SDI
measure can significantly (p<0.001) differentiate all
three groups (CAN-, ECAN and DCAN) and the level of
CAN. In contrast, the variability of the QT-TQ based SDI
measures showed significant difference only between
CAN- and DCAN groups. This result suggested that TQ
RR based SDI analysis was more sensitive in tracking
progression of CAN than the QT-TQ based approach,
which is crucial for the early detection of CAN.
| Original language | English |
|---|---|
| Title of host publication | Computing in Cardiology 2014 |
| Subtitle of host publication | Volume 41 |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 85-88 |
| Number of pages | 4 |
| Volume | 41 |
| ISBN (Electronic) | 9781479943470 |
| ISBN (Print) | 9781479943463 |
| Publication status | Published - 2014 |
| Event | 41st Computing in Cardiology Conference, CinC 2014 - MIT's Laboratory for Computational Physiology, Cambridge, United States Duration: 07 Sept 2014 → 10 Sept 2014 http://www.cinc.org/2014/ (Conference website) http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7035785 (Conference website) |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2325-8861 |
Conference
| Conference | 41st Computing in Cardiology Conference, CinC 2014 |
|---|---|
| Country/Territory | United States |
| City | Cambridge |
| Period | 07/09/14 → 10/09/14 |
| Other | Computing in Cardiology provides an international forum for scientists and professionals from the fields of medicine, physics, engineering and computer science, and has been held annually since 1974. |
| Internet address |
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