Key Design Parameters and Sensor-Fusion for Low-Power Wearable Uwb-Based Motion Tracking and Gait Analysis Systems

El-Nasr, Mohamad Abou; Shaban, Heba; Buehrer, and R. Michael

doi:10.2528/pierl11120303

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…Other research areas on wearable technology concentrate on wireless body-area networks (BAN) [3,4], wearable systems carried in clothing [5], and realization of fabric antennas [6] or stretchable interconnections [7,8]. Research on medical applications concentrate on the biomedical data with less emphasis on the bodyworn wireless link [9]. The medical devices may also be external offbody applicators [10].…”

Section: Introductionmentioning

confidence: 99%

Human Body Effects on Inkjet-Printed Flexible Rf Interconnections

Alam¹,

Sillanpää²,

Makinen³

2013

PIER C

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Abstract-The effect of human body on inkjet-printed flexible singlelayer transmission lines in immediate proximity of body is investigated by simulations and measurements up to 9 GHz. A multiline extraction method is used to obtain effective material parameters allowing detailed analysis of body effects. Already at 1 mm distance from the body, the line properties converge toward the free-space values. However, at smaller distances and in direct contact with the body, often required in biosensor applications, there is a significant change in characteristic impedance and increase in losses. The results of the paper can be used to evaluate the body effects at different frequencies and at different small distances from the body.

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Section: Introductionmentioning

confidence: 99%

Human Body Effects on Inkjet-Printed Flexible Rf Interconnections

Alam¹,

Sillanpää²,

Makinen³

2013

PIER C

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“…This in turn will put high restrictions on the ADC power consumption and will consequently present a major challenge for UWB system power consumption. Typically, for UWB systems the analog approaches are more convenient due to the ultra wide bandwidth, which reduces the minimum required sampling rate and consequently the power consumption [23, 24]. An ADC used in the all-digital implementation approach with a figure of merit of approximately 4e11 requires a power consumption of ≈160 mW for 4-bit and 4 GSample/sec sampling rate [24].…”

Section: System Modelmentioning

confidence: 99%

“…Typically, for UWB systems the analog approaches are more convenient due to the ultra wide bandwidth, which reduces the minimum required sampling rate and consequently the power consumption [23, 24]. An ADC used in the all-digital implementation approach with a figure of merit of approximately 4e11 requires a power consumption of ≈160 mW for 4-bit and 4 GSample/sec sampling rate [24]. Typically, for low-power approaches, a simple template is preferred in correlator receivers [13, 14].…”

Section: System Modelmentioning

confidence: 99%

Low-Power and Reliable Communications for UWB-Based Wireless Monitoring Sensor Networks in Underground Mine Tunnels

El-Nasr

Shaban

2015

International Journal of Distributed Sensor Networks

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This paper investigates the bit-error-rate (BER) and maximum allowable data throughput (MADTh) performance of a novel low-power mismatched Rake receiver structure for ultra wideband (UWB) wireless monitoring sensor networks in underground mine tunnels. This receive node structure provides a promising solution for low-power and reliable communications in underground mine tunnels with more than 90% reduction in power consumption. The BER and MADTh of the proposed receive nodes are investigated via Monte-Carlo simulations in UWB line-of-sight (LOS) and non-line-of-sight (NLOS) underground mine tunnels. The proposed mismatched receive nodes achieve a MADTh and BER performance approaching the corresponding optimal nodes with ≈1 dB and 1.5 dB BER performance degradation in LOS and NLOS scenarios, respectively. The mismatched PRake (M-PRake) receiver model with Lp=5 represents the best choice for low-power and reliable communications in sensor networks in underground mine tunnels with BER performance degradation of 1 dB and 3 dB in LOS and NLOS scenarios, respectively, as compared to the optimum detector. This minimal degradation in performance is traded for more than 90% reduction in power consumption.

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“…Whereas, kinematics is concerned with measuring the parameters related to the geometry of motion, such as joint angles. Finally, kinetics measures motion parameters that include forces, such as joint moments [2][3][4][5][6][7][8][9].…”

Section: Electrocardiogram (Ecg)mentioning

confidence: 99%

A WBAN for Human Movement Kinematics and ECG Measurements

Baraka¹,

Shokry²,

Omar³

et al. 2012

ETSN

Self Cite

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Biomedical applications of body area networks (BANs) are evolving, where taking periodic medical readings of patients via means wireless technologies at home or in the office will aid physicians to periodically supervise the patient's medical status without having to see the patient. Thus, one important objective of BANs is to provide the doctor with the medical readings that can be collected electronically without being in close proximity to the patient. This is done through the measurement of the patient's physiological signals via means of wearable sensors. This paper investigates wireless BAN cooperation via actual measurements of human movement kinematics and electrocardiogram (ECG), which are believed to provide patients with easy healthcare for continuous health-monitoring. The collected information will be processed using specially designed software, which in turn will enable the patient to send a full medical chart to the physician's electronic device. In this way, physicians will have the ability to monitor their patients more efficiently.

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Key Design Parameters and Sensor-Fusion for Low-Power Wearable Uwb-Based Motion Tracking and Gait Analysis Systems

Cited by 6 publications

References 15 publications

Human Body Effects on Inkjet-Printed Flexible Rf Interconnections

Human Body Effects on Inkjet-Printed Flexible Rf Interconnections

Low-Power and Reliable Communications for UWB-Based Wireless Monitoring Sensor Networks in Underground Mine Tunnels

A WBAN for Human Movement Kinematics and ECG Measurements

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