Literature DB >> 20172836

Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography.

Ming-Zher Poh1, Nicholas C Swenson, Rosalind W Picard.   

Abstract

This paper addresses the design considerations and critical evaluation of a novel embodiment for wearable photoplethysmography (PPG) comprising a magnetic earring sensor and wireless earpiece. The miniaturized sensor can be worn comfortably on the earlobe and contains an embedded accelerometer to provide motion reference for adaptive noise cancellation. The compact wireless earpiece provides analog signal conditioning and acts as a data-forwarding device via a radio frequency transceiver. Using Bland-Altman and correlation analysis, we evaluated the performance of the proposed system against an FDA-approved ECG measurement device during daily activities. The mean +/- standard deviation (SD) of the differences between heart rate measurements from the proposed device and ECG (expressed as percentage of the average between the two techniques) along with the 95% limits of agreement (LOA = +/-1.96 SD) was 0.62% +/- 4.51% (LOA = -8.23% and 9.46%), -0.49% +/- 8.65% (-17.39% and 16.42%), and -0.32% +/- 10.63% (-21.15% and 20.52%) during standing, walking, and running, respectively. Linear regression indicated a high correlation between the two measurements across the three evaluated conditions (r = 0.97, 0.82, and 0.76, respectively with p < 0.001). The new earring PPG system provides a platform for comfortable, robust, unobtrusive, and discreet monitoring of cardiovascular function.

Mesh:

Year:  2010        PMID: 20172836     DOI: 10.1109/TITB.2010.2042607

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  23 in total

1.  Sensor fusion methods for reducing false alarms in heart rate monitoring.

Authors:  Gabriel Borges; Valner Brusamarello
Journal:  J Clin Monit Comput       Date:  2015-10-06       Impact factor: 2.502

Review 2.  Unobtrusive sensing and wearable devices for health informatics.

Authors:  Ya-Li Zheng; Xiao-Rong Ding; Carmen Chung Yan Poon; Benny Ping Lai Lo; Heye Zhang; Xiao-Lin Zhou; Guang-Zhong Yang; Ni Zhao; Yuan-Ting Zhang
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

3.  Adaptive motion artefact reduction in respiration and ECG signals for wearable healthcare monitoring systems.

Authors:  Zhengbo Zhang; Ikaro Silva; Dalei Wu; Jiewen Zheng; Hao Wu; Weidong Wang
Journal:  Med Biol Eng Comput       Date:  2014-10-02       Impact factor: 2.602

Review 4.  Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging.

Authors:  Yu Sun; Nitish Thakor
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-15       Impact factor: 4.538

5.  Analysis of heart rate variability during auditory stimulation periods in patients with schizophrenia.

Authors:  Saime Akdemir Akar; Sadık Kara; Fatma Latifoğlu; Vedat Bilgiç
Journal:  J Clin Monit Comput       Date:  2014-05-16       Impact factor: 2.502

Review 6.  Arrhythmia detection and classification using ECG and PPG techniques: a review.

Authors:  H K Sardana; R Kanwade; S Tewary
Journal:  Phys Eng Sci Med       Date:  2021-11-02

7.  A multi-channel opto-electronic sensor to accurately monitor heart rate against motion artefact during exercise.

Authors:  Abdullah Alzahrani; Sijung Hu; Vicente Azorin-Peris; Laura Barrett; Dale Esliger; Matthew Hayes; Shafique Akbare; Jérôme Achart; Sylvain Kuoch
Journal:  Sensors (Basel)       Date:  2015-10-12       Impact factor: 3.576

8.  Motion artifact removal from photoplethysmographic signals by combining temporally constrained independent component analysis and adaptive filter.

Authors:  Fulai Peng; Zhengbo Zhang; Xiaoming Gou; Hongyun Liu; Weidong Wang
Journal:  Biomed Eng Online       Date:  2014-04-24       Impact factor: 2.819

9.  Low-Power Photoplethysmogram Acquisition Integrated Circuit with Robust Light Interference Compensation.

Authors:  Jongpal Kim; Jihoon Kim; Hyoungho Ko
Journal:  Sensors (Basel)       Date:  2015-12-31       Impact factor: 3.576

10.  Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm.

Authors:  Po-Hsiang Lai; Insoo Kim
Journal:  Healthc Technol Lett       Date:  2015-02-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.