Remote vital sign detection for rescue, security, and medical care by ultra-wideband pseudo-noise radar

Sachs, J.; Helbig, Marko; Herrmann, Richard; Kmec, M.; Schilling, K.; Zaikov, E.

doi:10.1016/j.adhoc.2012.07.002

Cited by 72 publications

(55 citation statements)

References 8 publications

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“…Using E{D t n j } = 1 −1 t ′n p Dt j t ′ dt ′ , (18) may be rewritten as (see (19)). The variance of the averaged value results from (see (20) at the bottom of the next page).…”

Section: Acknowledgmentsmentioning

confidence: 99%

“…The variance of the averaged value results from (see (20) at the bottom of the next page). One of the two terms is already known from (19) and for the still unknown term, we expand x(t) in a Taylor series and rewrite its square as a Cauchy product E x (t) 2 = E n! t ′n = x(t) * p Dt j (t) (19) www.ietdl.org…”

Section: Acknowledgmentsmentioning

confidence: 99%

“…Owing to the unfavourable aspect angle in the case of the lying person, the signal magnitude is quite weak. Moreover, with increasing distance from the antenna, the 'breathing' magnitude vanishes in noise so that some enhancement techniques must be used to recover it (see [19] for details). In close proximity to the antenna, even the heart motion can be detected and separated from the respiration motion [20,21].…”

Section: Vitality Capturing For Home Health Monitoringmentioning

confidence: 99%

“…so that we find from (19), (20) and (22) var (19) and (23) may be approximated as (n!! -double factorial)…”

mentioning

confidence: 99%

“…To obtain (24) and (25) from (19) and (23), we have exploited Taylor-series expansion and the identities …”

mentioning

confidence: 99%

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M‐sequence‐based ultra‐wideband sensor network for vitality monitoring of elders at home

Sachs

Herrmann

2015

IET Radar, Sonar & Navigation

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The western societies are increasingly faced with the challenges of enabling a self-determined and safe life for a growing number of elderly people. Remote monitoring of vitality is an important tool for health risk mitigation but many of the current methods either deliver only infrequent information or require conscious cooperation of the senior. The authors propose an ultrawideband (UWB) radio sensor network based on M-sequence technology specifically designed for the vitality monitoring of persons living alone. It uses the frequency band in the range from 6 to 8.5 GHz (electronic communications committee (ECC)-band), and provides precise localisation, captures breathing motion during rests, can be used for fall detection and allows the extraction of gait features. The sensor network can be installed in common living spaces. It operates continuously in the background without any user interaction. Vitality monitoring by radar sensors is based on motion detection and tracking. This poses some challenges to radar devices because of the harsh multi-path conditions in apartments. This study discusses these challenges, illustrates how to meet them and gives examples for vitality features which can be extracted from UWB-radar data.

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“…Using E{D t n j } = 1 −1 t ′n p Dt j t ′ dt ′ , (18) may be rewritten as (see (19)). The variance of the averaged value results from (see (20) at the bottom of the next page).…”

Section: Acknowledgmentsmentioning

confidence: 99%

Section: Acknowledgmentsmentioning

confidence: 99%

Section: Vitality Capturing For Home Health Monitoringmentioning

confidence: 99%

“…so that we find from (19), (20) and (22) var (19) and (23) may be approximated as (n!! -double factorial)…”

mentioning

confidence: 99%

“…To obtain (24) and (25) from (19) and (23), we have exploited Taylor-series expansion and the identities …”

mentioning

confidence: 99%

See 3 more Smart Citations

M‐sequence‐based ultra‐wideband sensor network for vitality monitoring of elders at home

Sachs

Herrmann

2015

IET Radar, Sonar & Navigation

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Through‐the‐floor localization of a static person by a multistatic UWB radar

Švecová

Kocur

Demčák

et al. 2018

Micro & Optical Tech Letters

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A new approach to through‐the‐floor localization of a static person using an ultra‐wide band (UWB) radar is introduced in this article. The proposed solution is based on a multilateration method appropriately modified for target localization by a multistatic UWB radar employing 1 transmitting (Tx) and 4 receiving antennas (Rxi). Due to an appropriate radar antenna array layout, a geometrical interpretation of the considered problem of localization allows finding the target coordinates by a simple computation of 2 intersections of 2 pairs of ellipses. The mentioned ellipses are defined by the antenna layout and time‐of‐arrivals corresponding to the target that were estimated for the particular pairs of Tx–Rxi antennas. Experimental analysis of the proposed method of through‐the‐floor localization of a person confirmed its good accuracy, despite being such a complex scenario.

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Biomedical Radar and Antenna Systems for Contactless Human Activity Analysis

Tabassum

Ahad

2021

Intelligent Systems Reference Library

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Remote vital sign detection for rescue, security, and medical care by ultra-wideband pseudo-noise radar

Cited by 72 publications

References 8 publications

M‐sequence‐based ultra‐wideband sensor network for vitality monitoring of elders at home

M‐sequence‐based ultra‐wideband sensor network for vitality monitoring of elders at home

Through‐the‐floor localization of a static person by a multistatic UWB radar

Biomedical Radar and Antenna Systems for Contactless Human Activity Analysis

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