Literature DB >> 25974943

A Wearable Patch to Enable Long-Term Monitoring of Environmental, Activity and Hemodynamics Variables.

Mozziyar Etemadi, Omer T Inan, J Alex Heller, Sinan Hersek, Liviu Klein, Shuvo Roy.   

Abstract

We present a low power multi-modal patch designed for measuring activity, altitude (based on high-resolution barometric pressure), a single-lead electrocardiogram, and a tri-axial seismocardiogram (SCG). Enabled by a novel embedded systems design methodology, this patch offers a powerful means of monitoring the physiology for both patients with chronic cardiovascular diseases, and the general population interested in personal health and fitness measures. Specifically, to the best of our knowledge, this patch represents the first demonstration of combined activity, environmental context, and hemodynamics monitoring, all on the same hardware, capable of operating for longer than 48 hours at a time with continuous recording. The three-channels of SCG and one-lead ECG are all sampled at 500 Hz with high signal-to-noise ratio, the pressure sensor is sampled at 10 Hz, and all signals are stored to a microSD card with an average current consumption of less than 2 mA from a 3.7 V coin cell (LIR2450) battery. In addition to electronic characterization, proof-of-concept exercise recovery studies were performed with this patch, suggesting the ability to discriminate between hemodynamic and electrophysiology response to light, moderate, and heavy exercise.

Entities:  

Mesh:

Year:  2015        PMID: 25974943      PMCID: PMC4643430          DOI: 10.1109/TBCAS.2015.2405480

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  23 in total

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3.  Non-invasive cardiac output trending during exercise recovery on a bathroom-scale-based ballistocardiograph.

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4.  Predicting free-living energy expenditure using a miniaturized ear-worn sensor: an evaluation against doubly labeled water.

Authors:  Loubna Bouarfa; Louis Atallah; Richard Mark Kwasnicki; Claire Pettitt; Gary Frost; Guang-Zhong Yang
Journal:  IEEE Trans Biomed Eng       Date:  2014-02       Impact factor: 4.538

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6.  Precordial vibrations provide noninvasive detection of early-stage hemorrhage.

Authors:  Kouhyar Tavakolian; Guy A Dumont; Geoffrey Houlton; Andrew P Blaber
Journal:  Shock       Date:  2014-02       Impact factor: 3.454

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8.  Human cardiovascular adjustments to rapid changes in skin temperature during exercise.

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9.  Ongoing right ventricular hemodynamics in heart failure: clinical value of measurements derived from an implantable monitoring system.

Authors:  Philip B Adamson; Anthony Magalski; Frieder Braunschweig; Michael Böhm; Dwight Reynolds; David Steinhaus; Allyson Luby; Cecilia Linde; Lars Ryden; Bodo Cremers; Teri Takle; Tom Bennett
Journal:  J Am Coll Cardiol       Date:  2003-02-19       Impact factor: 24.094

10.  Diagnostic accuracy of seismocardiography compared with electrocardiography for the anatomic and physiologic diagnosis of coronary artery disease during exercise testing.

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Journal:  Am J Cardiol       Date:  1993-03-01       Impact factor: 2.778

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  25 in total

Review 1.  A Systematic Review of Wearable Patient Monitoring Systems - Current Challenges and Opportunities for Clinical Adoption.

Authors:  Mirza Mansoor Baig; Hamid GholamHosseini; Aasia A Moqeem; Farhaan Mirza; Maria Lindén
Journal:  J Med Syst       Date:  2017-06-19       Impact factor: 4.460

2.  Seismocardiography and 4D flow MRI reveal impact of aortic valve replacement on chest acceleration and aortic hemodynamics.

Authors:  Ethan M I Johnson; Mozziyar Etemadi; S Chris Malaisrie; Patrick M McCarthy; Michael Markl; Alex J Barker
Journal:  J Card Surg       Date:  2019-10-15       Impact factor: 1.620

3.  Automatic Detection of Seismocardiogram Sensor Misplacement for Robust Pre-Ejection Period Estimation in Unsupervised Settings.

Authors:  Hazar Ashouri; Omer T Inan
Journal:  IEEE Sens J       Date:  2017-05-04       Impact factor: 3.301

4.  Wearable Patch-Based Estimation of Oxygen Uptake and Assessment of Clinical Status during Cardiopulmonary Exercise Testing in Patients With Heart Failure.

Authors:  Md Mobashir Hasan Shandhi; Sinan Hersek; Joanna Fan; Erica Sander; Teresa De Marco; J Alex Heller; Mozziyar Etemadi; Liviu Klein; Omer T Inan
Journal:  J Card Fail       Date:  2020-05-27       Impact factor: 5.712

5.  Wearable Sensing of Cardiac Timing Intervals from Cardiogenic Limb Vibration Signals.

Authors:  Andrew D Wiens; Ann Johnson; Omer T Inan
Journal:  IEEE Sens J       Date:  2016-12-22       Impact factor: 3.301

Review 6.  Wearable ballistocardiogram and seismocardiogram systems for health and performance.

Authors:  Mozziyar Etemadi; Omer T Inan
Journal:  J Appl Physiol (1985)       Date:  2017-08-10

7.  Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation.

Authors:  Md Mobashir Hasan Shandhi; Beren Semiz; Sinan Hersek; Nazli Goller; Farrokh Ayazi; Omer T Inan
Journal:  IEEE J Biomed Health Inform       Date:  2019-01-28       Impact factor: 5.772

8.  Quantifying and Reducing Motion Artifacts in Wearable Seismocardiogram Measurements During Walking to Assess Left Ventricular Health.

Authors:  Abdul Q Javaid; Hazar Ashouri; Alexis Dorier; Mozziyar Etemadi; J Alex Heller; Shuvo Roy; Omer T Inan
Journal:  IEEE Trans Biomed Eng       Date:  2016-08-16       Impact factor: 4.538

9.  Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients.

Authors:  Omer T Inan; Maziyar Baran Pouyan; Abdul Q Javaid; Sean Dowling; Mozziyar Etemadi; Alexis Dorier; J Alex Heller; A Ozan Bicen; Shuvo Roy; Teresa De Marco; Liviu Klein
Journal:  Circ Heart Fail       Date:  2018-01       Impact factor: 8.790

10.  Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications.

Authors:  Mirza Mansoor Baig; Hamid GholamHosseini; Jairo Gutierrez; Ehsan Ullah; Maria Lindén
Journal:  Appl Clin Inform       Date:  2021-01-06       Impact factor: 2.342

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