Wireless medical communications using UWB

Hämäläinen, Matti; Taparugssanagorn, Attaphongse; Tesi, R.; Iinatti, Jari

doi:10.1109/icuwb.2009.5288769

Cited by 33 publications

(16 citation statements)

References 9 publications

(7 reference statements)

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“…The effect of the indoor environment on the UWB body area channel has been investigated and demonstrated in [26,27]. A number of UWB channels valid in the 3-10 GHz range have been proposed in [28][29][30][31][32][33][34][35][36]. The IEEE 802.15.6 standardisation committee of wireless body area network (WBAN) technology has published a policy for channel modelling on WBAN [37], including a 3.1-10.6 GHz range model.…”

Section: Introductionmentioning

confidence: 99%

An Advanced Uwb Channel Model for Body-Centric Wireless Networks

Bari¹,

Abbasi²,

Alomainy³

et al. 2013

PIER

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Abstract-This paper presents a novel ultra wideband (UWB) channel model in the 3-10 GHz range for body-centric wireless communications. The tests are performed in both indoor anechoic chamber environments, addressing on-body and off-body propagation scenarios. The body channel model is extracted by using a single spatial grid over all the body, and by distinguishing between LOS and NLOS condition. The large number and the uniform placement of the receiver locations attempt a representation of the body propagation links more comprehensive than previously published models. The statistical reliability of the model is investigated by applying jointly the Kolmogorov-Smirnov and the Akaike criteria. The analysis suggested that the Lognormal model fits the channel amplitude distributions with a percentage ≥ 64%. The on-body indoor channel amplitudes are modeled with a stochastic terms of about 4-5 dB higher than previously published models. Finally, a Negative-Binomial and Inverse Gaussian distribution are used to model the expected number of paths and interarrival time, respectively. Based on the results presented in this paper, clear recommendations are given with regards to the optimum statistical distribution of an accurate UWB body-centric radio channel modeling.

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Section: Introductionmentioning

confidence: 99%

An Advanced Uwb Channel Model for Body-Centric Wireless Networks

Bari¹,

Abbasi²,

Alomainy³

et al. 2013

PIER

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“…For medical purposes, devices for monitoring a patient's vital functions and health conditions by a patient himself or a doctor have been under vivid discussion during the last decade. When the apparatuses are wireless, the patient can lead his life in his home environment or outdoors as the wireless technology enables a free mobility and a remote monitoring of his vital data by the doctor [2].…”

Section: Introductionmentioning

confidence: 99%

Categorized Uwb on-Body Radio Channel Modeling for Wbans

Kumpuniemi¹,

Hämäläinen²,

Yazdandoost³

et al. 2016

PIER B

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Abstract-A categorized radio channel modeling for wireless ultra-wideband on-body body area networks is discussed. Measurements in an anechoic chamber at fourteen antenna locations are conducted in a 2-8 GHz band. The dipole and double loop antenna types are used. Six link classes are formed based on the antenna spots on the torso, head or limb. The limb-limb and the head-limb links have the lowest and highest path losses, respectively. The head-limb links have the shortest channel impulse responses (CIRs) and limb-limb links the longest ones. The CIR amplitudes follow the inverse Gaussian distribution. The tap indexes and the total excess delays are modeled with the negative binomial distribution. In most cases, the CIRs decay faster for the dipole. Otherwise no major differences exist between the antennas.

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“…In addition, extremely wide bandwidth offers very accurate positioning capabilities. [2] An individual can see all these improvements as a remedy for their healing process. However, for society, the benefits come through improved working processes, which mean better efficiency, and finally, overall cost savings in healthcare sector.…”

Section: Future Trends In Healhtcarementioning

confidence: 99%

Medical ICT serving society

Hämäläinen

Iinatti

Jämsä

2010

2010 IEEE 11th International Symposium on Spread Spectrum Techniques and Applications

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Abstract-This paper gives sights of future wireless healthcare and an overview of an innovation process targeted for novel medical ICT (information and communication technology) applications. The background of the topic is based on the development work towards an innovation centre focusing on combining technological and medical research at Oulu region in Finland. Though the paper is focusing on medical ICT, the reported issues are generic, and they can be adopted in wider scope. The innovation process is presented as circular separating from the typical linear model. Different players involved in the process can participate in different phases, and the starting point of the whole innovation process can vary. However, the driving force is the actual needs from the end-users' side.

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Wireless medical communications using UWB

Cited by 33 publications

References 9 publications

An Advanced Uwb Channel Model for Body-Centric Wireless Networks

An Advanced Uwb Channel Model for Body-Centric Wireless Networks

Categorized Uwb on-Body Radio Channel Modeling for Wbans

Medical ICT serving society

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