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Automated Auscultatory Blood Pressure Measurements using Korotkoff Sounds Detection: A Preliminary Study

Naufal D.a, Noor A.S.a, Khalil M.Y.a, Rajab T.E.a, Setiawan A.W.a

a Biomedical Engineering Research Group, Institut Teknologi Bandung, Bandung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 IEEE.Cardiovascular disease has become the main cause of death. To prevent the number from increasing, an effective and appropriate method for diagnosing blood pressure is needed. At present, conventional methods for measuring blood pressure are believed to be accurate enough to determine the blood pressure of a patient. However, it still contains subjective judgments from clinicians. Thus, automatic auscultation blood pressure measurements using Korotkoff’s sound detection were built. Korotkoff’s voice was measured using a microphone. Raw data is decomposed using discrete wavelet transforms. The reconstructed signal is filtered using an octave-band filter bank in the range of 31.5, 63, 125 and 250 Hz. Every filtered signal is calculated to get signal power. Signal power compared to reference power to get decibel values. Then it is mapped in the ISO226 graph to check whether the data is systolic or diastolic pressure. The results showed that processing the data that recorded by BSL MP-36 with Hong S. et al. [7] algorithm combined with digital wavelet transform leads to the good performance of systolic pressure determination which has correlation coefficient of 0.92. Besides, the performance to determine the diastolic pressure still poor with correlation coefficient of 0.61. By the same signals processing method applied to the built instrument, it shows poor performance in determining systolic and diastolic blood pressure which has correlation coefficients to 0.94 and 0.04 for systolic and diastolic blood pressure respectively. This is happened due to signals that still contained significant noises and the existence of diastolic dilemma among the operators.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]auscultatory method,Cardio-vascular disease,Correlation coefficient,Diastolic blood pressures,Digital wavelet transforms,equal loudness contour,Systolic and diastolic blood pressures,Systolic blood pressure[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]auscultatory method,diastolic blood pressure,equal loudness contour,Korotkoff sounds,systolic blood pressure[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICA.2019.8916727[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]