Implementation and analysis of respiration-rate estimation using impulse-based UWB

Venkatesh, S.; Anderson, C.R.; Rivera, Natalia V.; Buehrer, R. Michael

doi:10.1109/milcom.2005.1606167

Cited by 148 publications

(146 citation statements)

References 3 publications

Supporting

Mentioning

143

Contrasting

Order By: Relevance

“…Measuring the propagation delay is possible for example with ultra-wideband radios [4] and frequency modulated carrier wave radars [6]. These works show that respiration rate can be estimated with high accuracy and the technologies can also be used to estimate the heart rate.…”

Section: Introductionmentioning

confidence: 99%

“…Such sensors are unsuitable in home healthcare applications since the person's mobility is restricted, an elderly suffering from dementia may forget to wear a sensor, and infants may remove them. An alternative is to use non-invasive methods that do not rely on body contact and popular approaches include vision-based techniques [3] and radio frequency (RF)-based methods [4]- [6], a research topic we explore in this work.…”

Section: Introductionmentioning

confidence: 99%

“…The propagation delay of the RF signal that reflects from the breathing person's moving chest cavity is quasi-periodic in time [4]. Measuring the propagation delay is possible for example with ultra-wideband radios [4] and frequency modulated carrier wave radars [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering

Hostettler

Kaltiokallio

Yi̇ği̇tler

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

Abstract-In this paper, we propose a method for respiratory rate estimation based on the received signal strength of narrowband radio frequency transceivers. We employ a state-space formulation of periodic Gaussian processes to model the observed variations in the signal strength. This is then used in a RaoBlackwellized unscented Kalman filter which exploits the linear substructure of the proposed model and thereby greatly improves computational efficiency. The proposed method is evaluated on measurement data from commercially available off the shelf transceivers. It is found that the proposed method accurately estimates the respiratory rate and provides a systematic way of fusing the measurements of asynchronous frequency channels.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering

Hostettler

Kaltiokallio

Yi̇ği̇tler

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

show abstract

“…For that reason, multipath components are assumed to be static for the latter case. On the other hand, in a movement-estimation scenario, multiple pulse bursts are employed, where the delays between consecutive bursts are comparable to the period of the movement in the environment [23].…”

Section: Introductionmentioning

confidence: 99%

“…Estimation of signal parameters related to a periodically moving object has applications in vital signs monitoring, such as respiration rate estimation, since UWB pulses have sufficiently high time resolution to detect movements of a human chest, and even of a heart [23]- [27]. Use of UWB signals for vital signal monitoring facilitates many medical applications, such as respiratory activity monitoring in intensive care units, cardiac monitoring, sudden infant death syndrome detection and arterial-wall motion monitoring [24].…”

Section: Introductionmentioning

confidence: 99%

Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

Gezici

2007

IEEE J. Sel. Top. Signal Process.

View full text Add to dashboard Cite

Abstract-In this paper, Cramer-Rao lower bounds (CRLBs) for estimation of signal parameters related to periodically moving objects in pulse-based ultra-wideband (UWB) systems are presented. The results also apply to estimation of vital parameters, such as respiration rate, using UWB signals. In addition to obtaining the CRLBs, suboptimal estimation algorithms are also presented. First, a single-path channel with additive white Gaussian noise is considered, and closed-form CRLB expressions are obtained for sinusoidal object movements. Also, a two-step suboptimal algorithm is proposed, which is based on time delay estimation via matched filtering followed by least-squares estimation, and its asymptotic optimality property is shown in the limit of certain system parameters. Then, a multipath environment is considered, and exact and approximate CRLB expressions are derived. Moreover, suboptimal schemes for parameter estimation are studied. Simulation studies are performed for the estimation of respiration rates in order to evaluate the lower bounds and performance of the suboptimal algorithms for realistic system parameters.Index Terms-Cramer-Rao lower bound (CRLB), estimation theory, impulse radio (IR), least-squares (LS) estimation, matched filtering, ultra-wideband (UWB).

show abstract

Advanced Performance Architectures

Singh

Fathy

Mostafanezhad

et al. 2016

Doppler Radar Physiological Sensing

View full text Add to dashboard Cite

Implementation and analysis of respiration-rate estimation using impulse-based UWB

Cited by 148 publications

References 3 publications

RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering

RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering

Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

Advanced Performance Architectures

Contact Info

Product

Resources

About