Cargando…
Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation
There is an unmet clinical need for a low cost and easy to use wearable devices for continuous cardiovascular health monitoring. A flexible and wearable wristband, based on microelectromechanical sensor (MEMS) elements array was developed to support this need. The performance of the device in cardio...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550190/ https://www.ncbi.nlm.nih.gov/pubmed/31304385 http://dx.doi.org/10.1038/s41746-019-0117-x |
_version_ | 1783424147330695168 |
---|---|
author | Kaisti, Matti Panula, Tuukka Leppänen, Joni Punkkinen, Risto Jafari Tadi, Mojtaba Vasankari, Tuija Jaakkola, Samuli Kiviniemi, Tuomas Airaksinen, Juhani Kostiainen, Pekka Meriheinä, Ulf Koivisto, Tero Pänkäälä, Mikko |
author_facet | Kaisti, Matti Panula, Tuukka Leppänen, Joni Punkkinen, Risto Jafari Tadi, Mojtaba Vasankari, Tuija Jaakkola, Samuli Kiviniemi, Tuomas Airaksinen, Juhani Kostiainen, Pekka Meriheinä, Ulf Koivisto, Tero Pänkäälä, Mikko |
author_sort | Kaisti, Matti |
collection | PubMed |
description | There is an unmet clinical need for a low cost and easy to use wearable devices for continuous cardiovascular health monitoring. A flexible and wearable wristband, based on microelectromechanical sensor (MEMS) elements array was developed to support this need. The performance of the device in cardiovascular monitoring was investigated by (i) comparing the arterial pressure waveform recordings to the gold standard, invasive catheter recording (n = 18), (ii) analyzing the ability to detect irregularities of the rhythm (n = 7), and (iii) measuring the heartrate monitoring accuracy (n = 31). Arterial waveforms carry important physiological information and the comparison study revealed that the recordings made with the wearable device and with the gold standard device resulted in almost identical (r = 0.9–0.99) pulse waveforms. The device can measure the heart rhythm and possible irregularities in it. A clustering analysis demonstrates a perfect classification accuracy between atrial fibrillation (AF) and sinus rhythm. The heartrate monitoring study showed near perfect beat-to-beat accuracy (sensitivity = 99.1%, precision = 100%) on healthy subjects. In contrast, beat-to-beat detection from coronary artery disease patients was challenging, but the averaged heartrate was extracted successfully (95% CI: −1.2 to 1.1 bpm). In conclusion, the results indicate that the device could be useful in remote monitoring of cardiovascular diseases and personalized medicine. |
format | Online Article Text |
id | pubmed-6550190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65501902019-07-12 Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation Kaisti, Matti Panula, Tuukka Leppänen, Joni Punkkinen, Risto Jafari Tadi, Mojtaba Vasankari, Tuija Jaakkola, Samuli Kiviniemi, Tuomas Airaksinen, Juhani Kostiainen, Pekka Meriheinä, Ulf Koivisto, Tero Pänkäälä, Mikko NPJ Digit Med Article There is an unmet clinical need for a low cost and easy to use wearable devices for continuous cardiovascular health monitoring. A flexible and wearable wristband, based on microelectromechanical sensor (MEMS) elements array was developed to support this need. The performance of the device in cardiovascular monitoring was investigated by (i) comparing the arterial pressure waveform recordings to the gold standard, invasive catheter recording (n = 18), (ii) analyzing the ability to detect irregularities of the rhythm (n = 7), and (iii) measuring the heartrate monitoring accuracy (n = 31). Arterial waveforms carry important physiological information and the comparison study revealed that the recordings made with the wearable device and with the gold standard device resulted in almost identical (r = 0.9–0.99) pulse waveforms. The device can measure the heart rhythm and possible irregularities in it. A clustering analysis demonstrates a perfect classification accuracy between atrial fibrillation (AF) and sinus rhythm. The heartrate monitoring study showed near perfect beat-to-beat accuracy (sensitivity = 99.1%, precision = 100%) on healthy subjects. In contrast, beat-to-beat detection from coronary artery disease patients was challenging, but the averaged heartrate was extracted successfully (95% CI: −1.2 to 1.1 bpm). In conclusion, the results indicate that the device could be useful in remote monitoring of cardiovascular diseases and personalized medicine. Nature Publishing Group UK 2019-05-14 /pmc/articles/PMC6550190/ /pubmed/31304385 http://dx.doi.org/10.1038/s41746-019-0117-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kaisti, Matti Panula, Tuukka Leppänen, Joni Punkkinen, Risto Jafari Tadi, Mojtaba Vasankari, Tuija Jaakkola, Samuli Kiviniemi, Tuomas Airaksinen, Juhani Kostiainen, Pekka Meriheinä, Ulf Koivisto, Tero Pänkäälä, Mikko Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation |
title | Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation |
title_full | Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation |
title_fullStr | Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation |
title_full_unstemmed | Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation |
title_short | Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation |
title_sort | clinical assessment of a non-invasive wearable mems pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550190/ https://www.ncbi.nlm.nih.gov/pubmed/31304385 http://dx.doi.org/10.1038/s41746-019-0117-x |
work_keys_str_mv | AT kaistimatti clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT panulatuukka clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT leppanenjoni clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT punkkinenristo clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT jafaritadimojtaba clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT vasankarituija clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT jaakkolasamuli clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT kiviniemituomas clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT airaksinenjuhani clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT kostiainenpekka clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT meriheinaulf clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT koivistotero clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation AT pankaalamikko clinicalassessmentofanoninvasivewearablememspressuresensorarrayformonitoringofarterialpulsewaveformheartrateanddetectionofatrialfibrillation |