BP Data-UNSW

Citation Author(s):
Ahmadreza
Argha
University of New South Wales
Branko
Celler
University of New South Wales
Submitted by:
Ahmadreza Argha
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/g8p3-e572
Data Format:
*.mat
Research Article Link:
Blood Pressure Estimation From Beat-by-Beat Time-Domain Features of Oscillometric Waveforms Using Deep-Neural-Network Classification Models
License:
Creative Commons Attribution
2121 Views
Categories:
Biomedical and Health Sciences
Keywords:
systolic and diastolic blood pressure estimation, oscillometric waveform
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Abstract 

 

This dataset includes beat-by-beat time-domain features extracted from 350 NIBP records which can be used to develop novel methods to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP). 

Instructions: 

These data include 9 features, i.e. cuff pressure (mmHg), cardiac period (msec), Korotkoff peak energy (mVrms), trough to peak amplitude of osciilometric waveform (mV), time lag between trough of osciilometric waveform and Korotkoff peak energy (msec), trough to peak duration of osciilometric waveform (msec), slope of Korotkoff energy envelope (mVrms/sec), Slope of osciilometric waveform envelope (mV/sec) and maximum upslope of osciilometric waveform (mV/sec), extracted from 350 data blood pressure records. These records are from 155 individual subjects, (87 male, 68 female) aged 52±21.6 years (range 23-97). 

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Submitted by muzaffar khan on Wed, 04/08/2020 - 04:42

Thanks

Submitted by HaoGong Chou on Wed, 05/06/2020 - 07:04

can i download this dataset ? and how to download's?

Submitted by Hendri Nawawi on Sat, 05/09/2020 - 10:37

How do I download this dataset?

Submitted by Etornam Kunu on Sat, 05/29/2021 - 06:24

thanks

Submitted by Fan Xi on Sun, 06/20/2021 - 23:02

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