Combining the Information of Unconstrained Electrocardiography and Ballistography in the Detection of Night-Time Heart Rate and Respiration Rate
@article{Vehkaoja2013CombiningTI, title={Combining the Information of Unconstrained Electrocardiography and Ballistography in the Detection of Night-Time Heart Rate and Respiration Rate}, author={Antti Vehkaoja and Mikko Peltokangas and Jarmo Verho and Jukka Lekkala}, journal={Int. J. Monit. Surveillance Technol. Res.}, year={2013}, volume={1}, pages={52-67} }
An unobtrusive bed integrated system for monitoring physiological parameters during sleep is presented and evaluated. The system uses textile electrodes attached to a bed sheet for measuring multiple channels of electrocardiogram. The channels are also combined in order to form several additional ECG leads. One lead at a time is selected for beat-to-beat-interval detection. The system also includes force sensors located under a bed post for detecting respiration and movements. The movement…Â
6 Citations
Methods for Doppler Radar Monitoring of Physiological Signals
- Environmental Science
- 2015
This dissertation thoroughly explores the signal processing methods for accurate chest wall displacement measurement with a radar sensor and proposes an I/Q imbalance estimation method and a nonlinear demodulation method for a quadrature radar sensor.
Monitoring Sleep with Force Sensor Measurement
- Computer Science
- 2014
This thesis presents methods for comfortable sleep measurement at home that are based on measuring the body with practically unnoticeable force sensors installed in the bed, so those physiological parameters can be measured.
The MobiFall Dataset: Fall Detection and Classification with a Smartphone
- Computer ScienceInt. J. Monit. Surveillance Technol. Res.
- 2014
The aim of this work is to introduce a human fall and activity dataset to be used in testing new detection methods, as well as performing objective comparisons between different reported algorithms for fall detection and activity recognition, based on inertial-sensor data from smartphones.
Tracking Systems for Multiple Smart Home Residents
- Computer ScienceBehaviour Monitoring and Interpretation
- 2011
This paper introduces and explores a Bayesian Updating method of tracking individuals through the space that leverages the Center for Advanced Studies in Adaptive Systems (CASAS) technology platform of pervasive and passive sensors.
An Adaptive Magnetic Field Source for Magnetic Drug Fixation
- PhysicsInt. J. Monit. Surveillance Technol. Res.
- 2013
The solution proposed and assessed here considers a planar spiral coil PSC or a system of such coils, as an equally effective magnetic field source, to provide proper configurations of the magnetic field gradients.
From Face to Facial Expression
- Psychology
- 2011
This chapter addresses recent advances in computer vision for facial expression classification. The authors present the different processing steps of the problem of automatic facial expression…
34 References
Combining unobtrusive electrocardiography and ballistography for more accurate monitoring of sleep
- Computer Science2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)
- 2012
An unobtrusive bed integrated system for monitoring physiological parameters during sleep using textile electrodes attached on the bed sheet for measuring multiple channels of electrocardiogram and force sensors located under a bed post for detecting breathing and movements is proposed.
Night-Time EKG and HRV Monitoring With Bed Sheet Integrated Textile Electrodes
- Computer ScienceIEEE Transactions on Information Technology in Biomedicine
- 2012
Applications for EKG derived RR-interval data include the calculation of HRV parameters that can be utilized in sleep quality analysis and other wellness-related topics as well as sleep apnoea detection.
Data fusion for estimating respiratory rate from a single-lead ECG
- Computer ScienceBiomed. Signal Process. Control.
- 2013
Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms
- PhysicsIEEE Transactions on Information Technology in Biomedicine
- 2011
A novel algorithm for the detection of individual heart beats and beat-to-beat interval lengths in ballistocardiograms (BCGs) from healthy subjects is presented and offers heart rate estimates on a beat- to-beat basis.
Contactless and continuous monitoring of heart electric activities through clothes on a sleeping bed
- Medicine2008 International Conference on Information Technology and Applications in Biomedicine
- 2008
An awareness-free heart-rate monitoring system based on a bedsheet, which utilized the continuous and electrically non-contact measurement of electrocardiogram (ECG), was proposed and showed that the root-mean-square error of HR was 0.66 plusmn 0.57 bpm.
Cardiopulmonary monitoring by textile electrodes without subject-awareness of being monitored
- MedicineMedical and Biological Engineering and Computing
- 2006
An automated system that could detect disorders of cardiopulmonary functions at an early stage, if used daily in the home with the concept of chronodiagnosis, is developed.
Sleep Monitoring Through a Textile Recording System
- Medicine2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- 2007
A home device for the continuous monitoring of sleep and its reliability regarding sleep evaluation is presented and the trends along the night are very similar, indicating the possibility of using textile HRV for sleep evaluation.
Comparison of Respiratory Rates Derived from Heart Rate Variability, ECG Amplitude, and Nasal/Oral Airflow
- MedicineAnnals of Biomedical Engineering
- 2008
The respiratory rate may be assessed with reasonable agreement by both methods in younger subjects, but EDR should be preferred in the elderly.
Assessment of a wrist-worn device in the detection of obstructive sleep apnea.
- MedicineSleep medicine
- 2003
Quantifying respiratory variation with force sensor measurements
- Environmental Science2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- 2011
A novel method for extracting respiratory rate variation from indirect measurements of respiration, particularly suitable for force sensor signals, is presented, because, in addition to the respiratory phenomenon, they typically contain also other disturbing features, which makes the accurate detection of the respiratory rate difficult.