Non-stationarity of body area networks for sleep monitoring

V. Chaganti; L. Hanlen; D. Smith

doi:10.1049/el.2013.1511

Non-stationarity of body area networks for sleep monitoring

V. Chaganti, L. Hanlen, D. Smith

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The stationarity of the body area network (BAN) channel when the subject is sleeping is examined. The authors question the validity of first- and second-order distribution fits to BAN channel gain. Wide sense stationarity tests have an upper bound at 70% probability for a maximum data length of 5 s. For data lengths greater than 5 s, the probability of stationarity rapidly diminishes. It is shown that the BAN channel is inherently non-stationary, and independent of the subject, sensor location and activity.

Original language	English
Pages (from-to)	949-950
Number of pages	2
Journal	Electronics Letters
Volume	49
Issue number	15
DOIs	https://doi.org/10.1049/el.2013.1511
Publication status	Published - 18 Jul 2013

Access to Document

10.1049/el.2013.1511

Cite this

@article{73e33eb986af48659b5afa9d8c5b5e29,

title = "Non-stationarity of body area networks for sleep monitoring",

abstract = "The stationarity of the body area network (BAN) channel when the subject is sleeping is examined. The authors question the validity of first- and second-order distribution fits to BAN channel gain. Wide sense stationarity tests have an upper bound at 70% probability for a maximum data length of 5 s. For data lengths greater than 5 s, the probability of stationarity rapidly diminishes. It is shown that the BAN channel is inherently non-stationary, and independent of the subject, sensor location and activity.",

author = "V. Chaganti and L. Hanlen and D. Smith",

year = "2013",

month = jul,

day = "18",

doi = "10.1049/el.2013.1511",

language = "English",

volume = "49",

pages = "949--950",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley & Sons Inc.",

number = "15",

}

TY - JOUR

T1 - Non-stationarity of body area networks for sleep monitoring

AU - Chaganti, V.

AU - Hanlen, L.

AU - Smith, D.

PY - 2013/7/18

Y1 - 2013/7/18

N2 - The stationarity of the body area network (BAN) channel when the subject is sleeping is examined. The authors question the validity of first- and second-order distribution fits to BAN channel gain. Wide sense stationarity tests have an upper bound at 70% probability for a maximum data length of 5 s. For data lengths greater than 5 s, the probability of stationarity rapidly diminishes. It is shown that the BAN channel is inherently non-stationary, and independent of the subject, sensor location and activity.

AB - The stationarity of the body area network (BAN) channel when the subject is sleeping is examined. The authors question the validity of first- and second-order distribution fits to BAN channel gain. Wide sense stationarity tests have an upper bound at 70% probability for a maximum data length of 5 s. For data lengths greater than 5 s, the probability of stationarity rapidly diminishes. It is shown that the BAN channel is inherently non-stationary, and independent of the subject, sensor location and activity.

UR - http://www.scopus.com/inward/record.url?scp=84880866341&partnerID=8YFLogxK

U2 - 10.1049/el.2013.1511

DO - 10.1049/el.2013.1511

M3 - Article

SN - 0013-5194

VL - 49

SP - 949

EP - 950

JO - Electronics Letters

JF - Electronics Letters

IS - 15

ER -

Non-stationarity of body area networks for sleep monitoring

Abstract

Access to Document

Other files and links

Fingerprint

Cite this