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Data · collection · 2017

Multimodal chest surface motion data for respiratory and cardiovascular monitoring applications

Listed in DataCite

Chest surface motion is of significant importance as it contains information of respiratory and cardiac systems along with the complex coupling between these two systems.

Description

It is not only critical in radiotherapy, but also useful in personalized health systems for continuous cardiorespiratory monitoring. In this dataset, a multimodal setup is employed to simultaneously acquire cardiorespiratory signals.

These signals include high-density trunk surface motion (from 16 distinct locations) with VICON motion capture, nasal breathing from thermal sensor, respiratory effort from strain belt and electrocardiogram in lead-II configuration. 72 trials are recorded from 11 participants which constitutes approximately 215 minutes under various conditions such as normal breathing, breath-hold, irregular breathing and post-exercise recovery.

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This dataset can not only be used for evaluating prediction algorithms for radiotherapy applications, but also can be employed for developing techniques to evaluate the cardio-mechanics and hemodynamic parameters from chest surface motion in wearable/home monitoring applications.

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Topics

From keywords
Cardiology
Inferred from text
Heart 65%
Provenance · 2 source records, 14 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.c.325802215 d agoJSON v1
DataCite10.6084/m9.figshare.c.3258022.v115 d agoJSON v1
FieldAssertionExtractorEvidence
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