Respiratory rate assessments using a dual-accelerometer device

@article{Lapi2014RespiratoryRA,
  title={Respiratory rate assessments using a dual-accelerometer device},
  author={Sara Lapi and Federico Lavorini and Giovanni Borgioli and Marco Calzolai and Leonardo Masotti and Massimo Pistolesi and Giovanni Fontana},
  journal={Respiratory Physiology \& Neurobiology},
  year={2014},
  volume={191},
  pages={60-66}
}
Estimating Sedentary Breathing Rate from Chest-Worn Accelerometry From Free-Living Data
  • B. Telfer, J. Williamson, K. Friedl
  • Medicine, Computer Science
    2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • 2020
TLDR
This paper provides the first analysis of accelerometry-derived breathing rate on free-living data including periods of high activity as well as sleep, and test breathing rate estimation on data from a physiological monitor that has not been expressly designed for that purpose.
Adaptive Accelerometry Derived Respiration: Comparison with Respiratory Inductance Plethysmography during Sleep
TLDR
This work presents a novel method based on a dual tri-axis accelerometer system (Adaptive Accelerometry Derived Respiration, ADR) which was patched on the subject’s chest that adaptively reconstructed thoracic and abdominal respiratory efforts that reflected the good feasibility of the adaptive ADR method for respiration monitoring during sleep.
A Wearable Device for Breathing Frequency Monitoring: A Pilot Study on Patients with Muscular Dystrophy
TLDR
Preliminary results confirmed that breathing frequency is a valuable breathing parameter to monitor, at the clinic and at home, because it strongly correlates with the main indexes of respiratory function.
Preliminary comparison of respiratory signals using acceleration on neck and humidity in exhaled air
TLDR
Results show that the accelerometer gently contacting the skin is capable of monitoring the respiration of people undergoing minor movements such as sitting on a chair or standing, and based on acceleration and air humidity using a respiratory sensor.
Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review
TLDR
A review of the literature on BR estimation from the ECG and PPG signals is presented, and the most pressing directions for future research are outlined, including the steps required to use BR algorithms in wearable sensors, remote video monitoring, and clinical practice.
Assessment of Breathing Parameters Using an Inertial Measurement Unit (IMU)-Based System
TLDR
A new posture-independent processing algorithm for breath-by-breath extraction of breathing temporal parameters from chest-wall inclination change signals measured using inertial measurement units was proposed and successfully reconstructed the respiration-induced movement, and to accurately determine the respiratory rate in an automatic, position-independent manner.
Monitoring cardio-respiratory and posture movements during sleep: What can be achieved by a single motion sensor
TLDR
The feasibility of using a single accelerometer strapped onto the chest to detect posture and cardio-respiratory parameters during sleep is explored and an efficient movement detector suitable for on-node implementation is developed to distinguish static postures from dynamics movements.
Respiration pattern recognition by wearable mask device.
UNOBTRUSIVE RESPIRATORY RATE MONITORING USING ACCELEROMETRY Supervisor :
TLDR
The aim of this project is to develop signal processing techniques for automatically estimating RR from accelerometry signals measured at the chest, which could allow clinicians to identify deteriorations in health earlier, and respond to them more quickly, potentially improving patient outcomes and reducing healthcare costs.
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