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Hametner B, Maurer S, Sehnert A, Bachler M, Orter S, Zechner O, Müllner-Rieder M, Penkler M, Wassertheurer S, Sehnert W, Mengden T, Mayer CC. Non-invasive pulse arrival time as a surrogate for oscillometric systolic blood pressure changes during non-pharmacological intervention. Physiol Meas 2024; 45:055015. [PMID: 38688296 DOI: 10.1088/1361-6579/ad45ab] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 04/30/2024] [Indexed: 05/02/2024]
Abstract
Background.Non-invasive continuous blood pressure (BP) monitoring is of longstanding interest in various cardiovascular scenarios. In this context, pulse arrival time (PAT), i.e., a surrogate parameter for systolic BP (change), became very popular recently, especially in the context of cuffless BP measurement and dedicated lifestyle interventions. Nevertheless, there is also understandable doubt on its reliability in uncontrolled and mobile settings.Objective.The aim of this work is therefore the investigation whether PAT follows oscillometric systolic BP readings during moderate interventions by physical or mental activity using a medical grade handheld device for non-invasive PAT assessment.Approach.A study was conducted featuring an experimental group performing a physical and a mental task, and a control group. Oscillometric BP and PAT were assessed at baseline and after each intervention. Interventions were selected randomly but then performed sequentially in a counterbalanced order. Multivariate analyses of variance were used to test within-subject and between-subject effects for the dependent variables, followed by univariate analyses for post-hoc testing. Furthermore, correlation analysis was performed to assess the association of intervention effects between BP and PAT.Mainresults.The study included 51 subjects (31 females). Multivariate analysis of variances showed that effects in BP, heart rate, PAT and pulse wave parameters were consistent and significantly different between experimental and control groups. After physical activity, heart rate and systolic BP increased significantly whereas PAT decreased significantly. Mental activity leads to a decrease in systolic BP at stable heart rate. Pulse wave parameters follow accordingly by an increase of PAT and mainly unchanged pulse wave analysis features due to constant heart rate. Finally, also the control group behaviour was accurately registered by the PAT method compared to oscillometric cuff. Correlation analyses revealed significant negative associations between changes of systolic BP and changes of PAT from baseline to the physical task (-0.33 [-0.63, 0.01],p< 0.048), and from physical to mental task (-0.51 [-0.77, -0.14],p= 0.001), but not for baseline to mental task (-0.12 [-0,43,0,20],p= 0.50) in the experimental group.Significance.PAT and the used digital, handheld device proved to register changes in BP and heart rate reliably compared to oscillometric measurements during intervention. Therefore, it might add benefit to future mobile health solutions to support BP management by tracking relative, not absolute, BP changes during non-pharmacological interventions.
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Affiliation(s)
- Bernhard Hametner
- AIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria
| | - Severin Maurer
- Institute of Market Research and Methodology, University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria
| | - Alina Sehnert
- Institute for Clinical Research Sehnert, Dortmund, Germany
| | - Martin Bachler
- AIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria
| | - Stefan Orter
- AIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria
| | - Olivia Zechner
- AIT Austrian Institute of Technology, Center for Technology Experience, Experience Business Transformation, Vienna, Austria
| | - Markus Müllner-Rieder
- AIT Austrian Institute of Technology, Center for Health & Bioresources, Digital Health Information Systems, Vienna, Austria
| | - Michael Penkler
- Institute of Market Research and Methodology, University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria
| | - Siegfried Wassertheurer
- AIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria
| | - Walter Sehnert
- Institute for Clinical Research Sehnert, Dortmund, Germany
| | - Thomas Mengden
- Kerckhoff Clinic, Rehabilitation, ESH Excellence Centre, Bad Nauheim, Germany
| | - Christopher C Mayer
- AIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria
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Siecinski S, Irshad MT, Abid Hasan M, Tkacz EJ, Kostka PS, Grzegorzek M. Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy Population. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083468 DOI: 10.1109/embc40787.2023.10340142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Signal quality significantly affects the processing, analysis, and interpretation of biomedical signals. There are many procedures for assessing signal quality that use averaged numerical values, thresholding, analysis in the time or frequency domain, or nonlinear approaches. An interesting approach to the assessment of signal quality is using symmetric projection attractor reconstruction (SPAR) analysis, which transforms an entire signal into a two-dimensional plot that reflects the waveform morphology. In this study, we present an application of SPAR to evaluate the quality of seismocardiograms (SCG signals) from the CEBS database, a publicly available seismocardiogram signal database. Visual inspection of symmetric projection attractors suggests that high-quality (clean) seismocardiogram projections resemble six-pointed asterisks (*), and any deviation from this shape suggests the influence of noise and artifacts.Clinical relevance- SPAR analysis enables quick identification of noise and artifacts that can affect the reliability of the diagnosis of cardiovascular diseases based on SCG signals.
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Serna-Pascual M, D'Cruz RF, Volovaya M, Jolley CJ, Hart N, Rafferty GF, Steier J, Aston PJ, Nandi M. Novel breathing pattern analysis: Symmetric Projection Attractor Reconstruction improves identification of impending COPD re-exacerbations - a retrospective cohort analysis. ERJ Open Res 2023; 9:00164-2023. [PMID: 37650090 PMCID: PMC10463025 DOI: 10.1183/23120541.00164-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/05/2023] [Indexed: 09/01/2023] Open
Abstract
Respiratory waveforms can be reduced to simple metrics, such as rate, but this may miss information about waveform shape and whole breathing pattern. A novel analysis method quantifying the whole waveform shape identifies AECOPD earlier. https://bit.ly/3M6uIEB.
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Affiliation(s)
- Miquel Serna-Pascual
- School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- These authors contributed equally
| | - Rebecca F. D'Cruz
- Lane Fox Clinical Respiratory Physiology Research Unit, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- These authors contributed equally
| | - Maria Volovaya
- School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Caroline J. Jolley
- Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Nicholas Hart
- Lane Fox Clinical Respiratory Physiology Research Unit, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Gerrard F. Rafferty
- Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Joerg Steier
- Lane Fox Clinical Respiratory Physiology Research Unit, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Philip J. Aston
- Department of Mathematics, University of Surrey, Guildford, UK
| | - Manasi Nandi
- School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
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