Respiratory Rate Estimation by Using ECG, Impedance, and Motion Sensing in Smart Clothing

@article{Shen2017RespiratoryRE,
  title={Respiratory Rate Estimation by Using ECG, Impedance, and Motion Sensing in Smart Clothing},
  author={Chien-Lung Shen and Tzu-Hao Huang and Po-Chun Hsu and Ya-Chi Ko and Fen-Ling Chen and Wei-Chun Wang and Tsair Kao and Chia-Tai Chan},
  journal={Journal of Medical and Biological Engineering},
  year={2017},
  volume={37},
  pages={826 - 842}
}
The needs for light-weight and soft smart clothing in homecare have been rising since the past decade. Many smart textile sensors have been developed and applied to automatic physiological and user-centered environmental status recognition. In the present study, we propose wearable multi-sensor smart clothing for homecare monitoring based on an economic fabric electrode with high elasticity and low resistance. The wearable smart clothing integrated with heterogeneous sensors is capable to… 
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39 Citations
Highly Influential Citations
4
Background Citations
12
Methods Citations
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39 Citations

An Overview of Wearable Piezoresistive and Inertial Sensors for Respiration Rate Monitoring
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This review paper focuses on innovative wearable devices, detection strategies and algorithms that exploit piezoresistive or inertial sensors to monitor the breathing parameters, providing useful insights to develop the next generation of wearable sensors for monitoring respiratory parameters.
A New Physiological Signal Acquisition Patch Using Compressed Sensing Method
TLDR
A physiological signal acquisition patch with 3axis (gyroscope and accelerometer) sensor that uses compressive sensing and principal component analysis methods to improve estimation accuracy and to reduce more than 60% of the transmitted data for power consumption considerations.
Feasibility of a Waistband-Type Wireless Wearable Electrocardiogram Monitoring System Based on a Textile Electrode: Development and Usability Study
TLDR
A wireless wearable ECG monitoring system that includes a textile ECG electrode that can be applied to the lining of pants and can be used in the same way that existing lower clothing is worn, without compression to the upper body, is developed.
Clinical evaluation of stretchable and wearable inkjet-printed strain gauge sensor for respiratory rate monitoring at different measurements locations
TLDR
The IPSG sensor could accurately detect RR at five different locations with good repeatability and diagonal and upper thorax positions were the most uncomfortable and most comfortable locations for measurement, respectively.
An Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram
TLDR
The use of the algorithms designed for contact PPG on remote PPG signals can lead to respiratory rate estimations with a mean absolute error below 3 breaths-per-minute, benchmarked using this standard and some other metrics to interpret the quality of the assessment.
Multispectral Video Fusion for Non-Contact Monitoring of Respiratory Rate and Apnea
TLDR
A novel algorithm based on multispectral data fusion that aims at estimating an accurate respiratory rate (RR) during apnea is presented, and may represent a step towards the use of cameras for vital sign monitoring in medical applications.
Reconstruction of the respiratory signal through ECG and wrist accelerometer data
TLDR
It is demonstrated that long-term nocturnal acceleration measurements from the wrist yield significantly better respiration proxies than four standard approaches of ECG (electrocardiogram) derived respiration.
Wavelet Variance Maximization: A contactless respiration rate estimation method based on remote photoplethysmography
A Data-Fusion Algorithm for Respiration Rate Extraction Based on UWB Transversal Propagation Method
TLDR
The results show that the proposed method of UWB and IMU sensor fusion is a promising candidate for reliable RR monitoring by compact wearable units under relatively non-stationary body movement conditions.
Smartphone movement sensors for the remote monitoring of respiratory rates: Technical validation
TLDR
The accuracy and usability of the mHealth smartphone application demonstrated here in individuals with a normal respiratory rate range show promise for the use of mHealth solutions employing smartphone sensors to remotely monitor respiratory rates.
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