Non-Contact Cardiopulmonary Sensing with a Baby Monitor

Hafner, Noah; Mostafanezhad, Isar; Lubecke, Victor M.; Borić–Lubecke, Olga; Høst-Madsen, A.

doi:10.1109/iembs.2007.4352785

Cited by 40 publications

(29 citation statements)

References 5 publications

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“…Additionally, Fig. 5 represents the magnitude of the Fourier transform of signal (9), which corroborates the spectrum distribution detailed in Fig. 2.…”

Section: Wwwietdlorgsupporting

confidence: 78%

“…Additionally, it can have a profound impact on telemedicine and telehealth environments. Radar-based vital-sign monitoring can also be utilised to detect sudden infant death syndrome, to identify sleep anomalies overnight, to improve life quality of elders, to monitor infants when left unattended in a car and so forth [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mitigation of stationary clutter in vital‐sign‐monitoring linear‐frequency‐modulated continuous‐wave radars

Muñoz‐Ferreras¹,

Wang

et al. 2015

IET Radar, Sonar & Navigation

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Stationary clutter can seriously degrade the performance of radar sensors. In the specific context of vital-sign monitoring, this deterioration can lead to the impossibility of tracking the desired motions. Pure linear-frequency-modulated continuous-wave (LFMCW) radars have arisen as an interesting solution to monitor vital signs, featuring both an increased phase-based range precision and an advantageous range-isolation capability. In this study, the impact of clutter on healthcare LFMCW radars is mathematically analysed and a Doppler high-pass filtering technique is proposed for its suppression. Simulation results are provided to highlight the key aspects of the derived mathematical framework and associated Doppler processing. Real experiments are also conducted to prove the validity of the devised clutter-mitigation procedure.

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“…Additionally, Fig. 5 represents the magnitude of the Fourier transform of signal (9), which corroborates the spectrum distribution detailed in Fig. 2.…”

Section: Wwwietdlorgsupporting

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Mitigation of stationary clutter in vital‐sign‐monitoring linear‐frequency‐modulated continuous‐wave radars

Muñoz‐Ferreras¹,

Wang

et al. 2015

IET Radar, Sonar & Navigation

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“…This method has also been extended for use in babies. By using continuous wave Doppler radars Hefner et al [39] were able to measure the RR of preterm infants on a neonatal intensive care unit. However, these options remain complex to set up and potentially costly and at present may not offer a better alternative to current monitoring methods.…”

Section: Radarmentioning

confidence: 99%

Medical Devices for Measuring Respiratory Rate in Children: a Review

Daw

Kingshott

Saatchi

et al. 2016

J. Advs. Biomed. Eng. Techno.

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Abstracts: Respiratory rate is an important vital sign used for diagnosing illnesses in children as well as prioritising patient care. All children presenting acutely to hospital should have a respiratory rate measured as part of their initial and ongoing assessment. However measuring the respiratory rate remains a subjective assessment and in children can be liable to measurement error especially if the child is uncooperative. Devices to measure respiratory rate exist but many provide only an estimate of respiratory rate due to the associated methodological complexities. Some devices are used within the intensive care, post-operative or more specialised investigatory settings none however have made their way into the everyday clinical setting. A non-contact device may be better tolerated in children and not cause undue stress distorting the measurement. Further validation and adaption to the acute clinical setting is needed before such devices can supersede current methods.

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“…Non-contact vital sign monitoring has many potential applications such as: search and rescue for survivors under the rubble, infant monitoring [4], bum injury victims, sleep monitoring [5], tumor tracking [6], occupancy detection [7] and home healthcare monitoring [8].…”

Section: Introductionmentioning

confidence: 99%

Packet radar spectrum recovery for physiological signals

Yavari

Padasdao

Lubecke

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Packet Doppler radar is investigated for extracting physiological signals. System on Chip is employed as a signal source in packet mode, and it transmits signals intermittently at 2.405 GHz to save power. Reflected signals are demodulated directly by spectral analysis of received pulses in the baseband. Spectral subtraction, using data from an empty room, is applied to extract the periodic movement. It was experimentally demonstrated that frequency of the periodic motion can be accurately extracted using this technique. Proposed approach reduces the computation complexity of the signal processing part effectively.

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Non-Contact Cardiopulmonary Sensing with a Baby Monitor

Cited by 40 publications

References 5 publications

Mitigation of stationary clutter in vital‐sign‐monitoring linear‐frequency‐modulated continuous‐wave radars

Mitigation of stationary clutter in vital‐sign‐monitoring linear‐frequency‐modulated continuous‐wave radars

Medical Devices for Measuring Respiratory Rate in Children: a Review

Packet radar spectrum recovery for physiological signals

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