Next Article in Journal
IoT-Based User-Driven Service Modeling Environment for a Smart Space Management System
Next Article in Special Issue
Long-Term Activity Recognition from Wristwatch Accelerometer Data
Previous Article in Journal
Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
Previous Article in Special Issue
Electrically Insulated Sensing of Respiratory Rate and Heartbeat Using Optical Fibers
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(11), 22021-22038; doi:10.3390/s141122021

Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory

1
Department of Electrical Engineering, National Cheng-Kung University, Tainan 701, Taiwan
2
Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsinchu 300, Taiwan
3
Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei 235, Taiwan
*
Authors to whom correspondence should be addressed.
Received: 5 September 2014 / Revised: 3 November 2014 / Accepted: 4 November 2014 / Published: 20 November 2014
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
View Full-Text   |   Download PDF [1428 KB, uploaded 20 November 2014]   |  

Abstract

In this paper, an algorithm to extract respiration signals using a flexible projected capacitive sensing mattress (FPCSM) designed for personal health assessment is proposed. Unlike the interfaces of conventional measurement systems for poly-somnography (PSG) and other alternative contemporary systems, the proposed FPCSM uses projected capacitive sensing capability that is not worn or attached to the body. The FPCSM is composed of a multi-electrode sensor array that can not only observe gestures and motion behaviors, but also enables the FPCSM to function as a respiration monitor during sleep using the proposed approach. To improve long-term monitoring when body movement is possible, the FPCSM enables the selection of data from the sensing array, and the FPCSM methodology selects the electrodes with the optimal signals after the application of a channel reduction algorithm that counts the reversals in the capacitive sensing signals as a quality indicator. The simple algorithm is implemented in the time domain. The FPCSM system is used in experimental tests and is simultaneously compared with a commercial PSG system for verification. Multiple synchronous measurements are performed from different locations of body contact, and parallel data sets are collected. The experimental comparison yields a correlation coefficient of 0.88 between FPCSM and PSG, demonstrating the feasibility of the system design. View Full-Text
Keywords: body movement; respiration detection; flexible projected capacitive sensing mattress body movement; respiration detection; flexible projected capacitive sensing mattress
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chang, W.-Y.; Huang, C.-C.; Chen, C.-C.; Chang, C.-C.; Yang, C.-L. Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory. Sensors 2014, 14, 22021-22038.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top