Literature DB >> 24743027

Unobtrusive ECG monitoring in the NICU using a capacitive sensing array.

L Atallah1, A Serteyn, M Meftah, M Schellekens, R Vullings, J W M Bergmans, A Osagiator, S Bambang Oetomo.   

Abstract

The thin skin of preterm babies is easily damaged by adhesive electrodes, tapes, chest drains and needle-marks. The scars caused could be disfiguring or disabling to 10% of preterm newborns. Capacitive sensors present an attractive option for pervasively monitoring neonatal ECG, and can be embedded in a support system or even a garment worn by the neonate. This could improve comfort and reduce pain aiding better recovery as well as avoiding the scars caused by adhesive electrodes. In this work, we investigate the use of an array of capacitive sensors unobtrusively embedded in a mattress and used in a clinical environment for 15 preterm neonates. We also describe the analysis framework including the fusion of information from all sensors to provide a more accurate ECG signal. We propose a channel selection strategy as well as a method using physiological information to obtain a reliable ECG signal. When sensor coverage is well attained, results for both instantaneous heart rate and ECG signal shape analysis are very encouraging. The study also provides several insights on important factors affecting the results. These include the effect of textile type, number of layers, interferences (e.g. people walking by), motion severity and interventions. Incorporating this knowledge in the design of a capacitive sensing system would be crucial in ensuring that these sensors provide a reliable ECG signal when embedded in a neonatal support system.

Entities:  

Mesh:

Year:  2014        PMID: 24743027     DOI: 10.1088/0967-3334/35/5/895

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  8 in total

1.  Noise-Resistant CECG Using Novel Capacitive Electrodes.

Authors:  Chi-Chun Chen; Cheng-Wei Chen; Chang-Wei Hsieh
Journal:  Sensors (Basel)       Date:  2020-05-01       Impact factor: 3.576

2.  Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit.

Authors:  Mauricio Villarroel; Sitthichok Chaichulee; João Jorge; Sara Davis; Gabrielle Green; Carlos Arteta; Andrew Zisserman; Kenny McCormick; Peter Watkinson; Lionel Tarassenko
Journal:  NPJ Digit Med       Date:  2019-12-12

3.  Feasibility of non-contact cardiorespiratory monitoring using impulse-radio ultra-wideband radar in the neonatal intensive care unit.

Authors:  Won Hyuk Lee; Yonggu Lee; Jae Yoon Na; Seung Hyun Kim; Hyun Ju Lee; Young-Hyo Lim; Seok Hyun Cho; Sung Ho Cho; Hyun-Kyung Park
Journal:  PLoS One       Date:  2020-12-28       Impact factor: 3.240

4.  Non-contact Sleep/Wake Monitoring Using Impulse-Radio Ultrawideband Radar in Neonates.

Authors:  Won Hyuk Lee; Seung Hyun Kim; Jae Yoon Na; Young-Hyo Lim; Seok Hyun Cho; Sung Ho Cho; Hyun-Kyung Park
Journal:  Front Pediatr       Date:  2021-12-21       Impact factor: 3.418

5.  Detection of acute ventilatory problems via magnetic induction in a newborn animal model.

Authors:  Sabrina C Behr; Christopher Platen; Pascal Vetter; Nicole Heussen; Steffen Leonhardt; Thorsten Orlikowsky; Konrad Heimann
Journal:  Pediatr Res       Date:  2021-06-08       Impact factor: 3.953

6.  An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm.

Authors:  Qin Qin; Jianqing Li; Yinggao Yue; Chengyu Liu
Journal:  J Healthc Eng       Date:  2017-09-06       Impact factor: 2.682

7.  Car Seats with Capacitive ECG Electrodes Can Detect Cardiac Pacemaker Spikes.

Authors:  Durmus Umutcan Uguz; Rosalia Dettori; Andreas Napp; Marian Walter; Nikolaus Marx; Steffen Leonhardt; Christoph Hoog Antink
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

8.  Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

Authors:  Muhammad Awais; Xi Long; Bin Yin; Chen Chen; Saeed Akbarzadeh; Saadullah Farooq Abbasi; Muhammad Irfan; Chunmei Lu; Xinhua Wang; Laishuan Wang; Wei Chen
Journal:  BMC Res Notes       Date:  2020-11-04
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.