Wearable Physiological and Blood Pressure Measurements During Activities of Daily Living

Citation Author(s):
Cederick
Landry
University of Waterloo
Eric T.
Hedge
University of Waterloo
Richard L.
Hughson
University of Waterloo
Sean D.
Peterson
University of Waterloo
Arash
Arami
University of Waterloo
Submitted by:
Cederick Landry
Last updated:
Fri, 01/22/2021 - 14:11
DOI:
10.21227/wysp-gt69
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Abstract 

The purpose of this data collection was for the validation of a cuffless blood pressure estimation model during activities of daily living. Data were collected on five young healthy individuals (four males, age 28 ± 6.6 yrs) of varied fitness levels, ranging from sedentary to regularly active, and free of cardiovascular and peripheral vascular disease. Arterial blood pressure was continuously measured using finger PPG (Portapres; Finapres Medical Systems, the Netherlands). The Astroskin wearable body metrics vest (Carré Technologies Inc., Canada) was used for electrocardiogram (ECG), photoplethysmogram (PPG), and tri-axial acceleration measurements. The PAT was calculated internally at 256 Hz. An iPhone SE was fixed to the thigh to record the orientation to identify the body posture.

Instructions: 

Data comes from

C. Landry, E. T. Hedge, R. L. Hughson, S. D. Peterson, and A. Arami,  “Accurate Blood Pressure Estimation during Activities of Daily Living: A Wearable Cuffless Solution”. J-BHI 2021.

The purpose of this data collection was for the validation of a cuffless blood pressure estimation model during activities of daily living. Data were collected on five young healthy individuals (four males, age 28 ± 6.6 yrs) of varied fitness levels, ranging from sedentary to regularly active, and free of cardiovascular and peripheral vascular disease. Arterial blood pressure was continuously measured using finger PPG (Portapres; Finapres Medical Systems, the Netherlands). The Astroskin wearable body metrics vest (Carré Technologies Inc., Canada) was used for electrocardiogram (ECG), photoplethysmogram (PPG), and tri-axial acceleration measurements. The PAT was calculated internally at 256 Hz. An iPhone SE was fixed to the thigh to record the orientation to identify the body posture.

This dataset includes time-aligned electrocardiogram (ECG), photoplethysmogram (PPG), blood pressure waveform (BP), hip acceleration perpendicular to the transverse plane (AccYs), thigh orientation (OriLegX), and pulse arrival time with 256 Hz resolution (PATastro). The sample frequency of the dataset is 64 Hz. The data were collected for five participants during day 1 for 6.5 hours. Data were further collected four months apart (day 2) for participants 1 and 2, and six months apart (day 3) for participant 1. During day 1, participant 2 data are missing for a block of approximately one hour due to a technical issue with the ECG, PPG, and AccY. Data for participants 3 and 5 are missing for segments of approximately 30 minutes in duration due to a technical issue with the BP measurements.

During day 1, testing sessions consisted of six consecutive 50-minute windows and a final 30-minute window of continuous BP monitoring. These were separated by 10-minute intervals when BP data were not being collected (the Portapres was turned off) to relieve pressure on the subject’s finger. During day 2 and 3, the Portapres was turned off for one hour between the measurement windows.

See page 2 for an example of the timeseries during day 1.

Attribute Information:

The dataset is in a MATLAB structure using the following sequence Day#.Participant#.Signal. The signals are the following:

-        Time.

-        Electrocardiogram (ECG).

-        Photoplethysmogram (PPG).

-        Blood pressure waveform (BP).

-        Hip acceleration perpendicular to the transverse plane (AccYs).

-        Thigh orientation (OriLegX)

-        Pulse arrival time with 256 Hz resolution (PATastro).