Empirical Assessment of Breast Lesion Detection Capability Through an Innovative Microwave Imaging Device

Conference paper

Sani, L., Vispa, A., Ghavami, N., Ghavami, M. and Tiberi, G. (2020). Empirical Assessment of Breast Lesion Detection Capability Through an Innovative Microwave Imaging Device. European Conference on Antennas and Propagation. Düsseldorf , Germany 22 - 26 Mar 2021 The European Association on Antennas and Propagation . https://doi.org/10.23919/EuCAP51087.2021.9411432
AuthorsSani, L., Vispa, A., Ghavami, N., Ghavami, M. and Tiberi, G.
TypeConference paper
Abstract

This paper investigates the effect of conductivity weighting on microwave images obtained through a dedicated imaging device. MammoWave is a microwave imaging device for detection of breast lesions, operating using only two azimuthally rotating antennas without the use of matching liquids. For each breast, a set of conductivity weighted images are generated
through modifying our algorithm based on Huygens principle, producing intensity maps representing the homogeneity of tissues’ dielectric properties. Subsequently, we introduce several imaging parameters (i.e. features) to quantify the non-homogenous behaviour of the image. Through empirical investigation on 103 breasts, we can verify that a selection of these features could allow distinction between breasts with radiological findings (WF), i.e. with benign or malign lesions, and breasts with no radiological findings (NF). Statistical significance was set at p<0.05.We obtained single features Area Under the receiver operating characteristic Curves (AUCs) spanning from 0.65 to 0.68. Significantly, we achieve AUCs of up to 0.77 when considering dense breasts only, which tend to cause detection limitations in mammography exams.

KeywordsHuygens principle; Microwave imaging; Breast cancer detection.
Year2020
PublisherThe European Association on Antennas and Propagation
Digital Object Identifier (DOI)https://doi.org/10.23919/EuCAP51087.2021.9411432
Accepted author manuscript
License
File Access Level
Open
Publication dates
Print27 Apr 2021
Publication process dates
Accepted17 Dec 2020
Deposited21 Dec 2020
Permalink -

https://openresearch.lsbu.ac.uk/item/8vqwq

Download files

Accepted author manuscript
1570686709 (2).pdf
License: CC BY 4.0
File access level: Open

  • 80
    total views
  • 80
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Ultra-Wideband (UWB) Systems in Biomedical Sensing
Tiberi, G. and Ghavami, M. (2022). Ultra-Wideband (UWB) Systems in Biomedical Sensing. Sensors. 22 (12), p. 4403. https://doi.org/10.3390/s22124403
MammoWave Breast Imaging Device: Path to Clinical Validation, Results and Implications in Future Population-based Breast Screening Programs
Tiberi, G., Ghavami, N., Sanchez-Bayuela, D., Sani, L., Vispa, A., Bigotti, A., Badia, M., Papini, L., Raspa, G., Castellano, C.R., Hernandez, L.M.C., Bernardi, D., Tagliafico, A., Calabrese, M. and Ghavami, M. (2022). MammoWave Breast Imaging Device: Path to Clinical Validation, Results and Implications in Future Population-based Breast Screening Programs. 2022 16th European Conference on Antennas and Propagation (EuCAP). https://doi.org/10.23919/eucap53622.2022.9769530
Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2022). Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3154092
Improving Indoor Localization Using Mobile UWB Sensor and Deep Neural Networks
Nosrati, L., Fazel, M. S. and Ghavami, M. (2022). Improving Indoor Localization Using Mobile UWB Sensor and Deep Neural Networks. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3151436
An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection
Sohani, Behnaz, Abdallah, Adam Degaichia, Tiberi, Gianluigi, Ghavami, Navid, Ghavami, Mohammad and Dudley, Sandra (2021). An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection. 2021 Photonics &amp; Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695034
3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation
Khalid, B., Khalesi, B., Ghavami, N., Dudley, S., Ghavami, M. and Tiberi, G. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. 2021 Photonics &amp; Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695090
Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data
Rana, S., Dey, M., Riccardo Loretoni, Michele Duranti, Lorenzo Sani, Alessandro Vispa, Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2021). Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data. Diagnostics. 11 (10). https://doi.org/10.3390/diagnostics11101930
Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle
Khalesi, B., Khalid, B., Ghavami, N., Dudley, S., Ghavami, M. and Tiberi, G. (2021). Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle. 2021 Photonics &amp; Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9694816
Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle
Ghavami, M., Khalesi, B., Khalid, B., Ghavami, N., Dudley-Mcevoy, S. and Tiberi, G. (2021). Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021
Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network
Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2021). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. London South Bank University. https://doi.org/10.18744/lsbu.8xz49
Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters.
Sani, L., Vispa, A., Loretoni, R., Duranti, M., Ghavami, N., Alvarez Sánchez-Bayuela, D., Caschera, S., Paoli, M., Bigotti, A., Badia, M., Scorsipa, M., Raspa, G., Ghavami, M. and Tiberi, G. (2021). Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters. PLoS ONE. 16 (4), p. e0250005. https://doi.org/10.1371/journal.pone.0250005
3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon
Rana, S., Dey, M., Ghavami, M. and Dudley-McEvoy, S. (2021). 3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon. IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3069044
Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection
Sohani, B., Puttock, J., Khalesi, B., Ghavami, N., Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2020). Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection. Sensors. 20 (19), p. e5545. https://doi.org/10.3390/s20195545
A Fingerprint Technique for Indoor Localization using Autoencoder based Semi-supervised Deep Extreme Learning Machine
Khatab, Z. E., Gazestani, A.H., Ghorashi, S. and Ghavami, M. (2020). A Fingerprint Technique for Indoor Localization using Autoencoder based Semi-supervised Deep Extreme Learning Machine. Signal Processing. 181, p. 107915. https://doi.org/10.1016/j.sigpro.2020.107915
Breast lesion detection through MammoWave device: microwave images’ parameters
Tiberi, G., Sani, Lorenzo, Vispa, Alessandro, Loretoni, Riccardo, Duranti, Michele, Ghavami, N., Alvarez Sanchez-Bayuela, Daniel, Paoli, Martina, Bigotti, Alessandra, Badia, Mario, Scorsipa, Michele, Raspa, Giovanni, Ghavami, M. and Caschera, Stefano (2020). Breast lesion detection through MammoWave device: microwave images’ parameters. London South Bank University. https://doi.org/10.18744/lsbu.8qzyx
Free space operating microwave imaging device for bone lesion detection: a phantom investigation
Khalesi, B., Sohani, B., Ghavami, N., Dudley-McEvoy, S., Ghavami, M. and Tiberi, G. (2020). Free space operating microwave imaging device for bone lesion detection: a phantom investigation. IEEE Antennas and Wireless Propagation Letters. https://doi.org/10.1109/LAWP.2020.3034039
UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms
Puttock, J, Sohani, B, Khalesi, B, Tiberi, G, Dudley-McEvoy, S and Ghavami, M (2020). UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms. EAI BODYNETS 2020. Online 21 - 22 Oct 2020
An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios
Riaz, M., Ghavami, M. and Dudley-McEvoy, S. (2020). An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios. IET Microwaves, Antennas and Propagation. 14 (13), pp. 1599-1609. https://doi.org/10.1049/iet-map.2019.0603
A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna
Riaz, M, Tiberi, G, Asani, H, Ghavami, M and Dudley-McEvoy, S (2020). A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna. IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Porto 20 - 22 Jul 2020 Institute of Electrical and Electronics Engineers (IEEE).
Detection of haemorrhagic stroke in simulation and realistic 3-D human head phantom using microwave imaging
Sohani, B., Khalesi, B., Ghavami, N., Ghavami, M., Dudley, S., Rahmani, A. and Tiberi, G. (2020). Detection of haemorrhagic stroke in simulation and realistic 3-D human head phantom using microwave imaging. Biomedical Signal Processing and Control. 61, p. 102001. https://doi.org/10.1016/j.bspc.2020.102001
Microwave Imaging for Stroke Detection: Validation on Head-mimicking Phantom
Sohani, B., Tiberi, G., Ghavami, N., Ghavami, M., Dudley, S. and Rahmani, A. (2019). Microwave Imaging for Stroke Detection: Validation on Head-mimicking Phantom. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021 IEEE. https://doi.org/10.1109/piers-spring46901.2019.9017851
A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection
Banafsheh Khalesi, Sohani, B., Navid Ghavami, Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2019). A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection. Electronics. 8 (12), p. 1505. https://doi.org/10.3390/electronics8121505
A novel motion-model-free UWB short-range positioning method
Ayoobi, N., Ghavami, M. and Rabiei, A.M. (2019). A novel motion-model-free UWB short-range positioning method. Signal, Image and Video Processing. pp. 1-6. https://doi.org/10.1007/s11760-019-01613-2
New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization
Moghtadaiee, V., Ghorashi, S.A. and Ghavami, M. (2019). New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization. IEEE Access. 7, pp. 104462-104477. https://doi.org/10.1109/ACCESS.2019.2932024
Signature Inspired Home Environments Monitoring System Using IR-UWB Technology
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2019). Signature Inspired Home Environments Monitoring System Using IR-UWB Technology. Sensors. 19 (2), p. 385. https://doi.org/10.3390/s19020385
UWB orthogonal pulse design using Sturm–Liouville boundary value problem
Amini, A., Mohajerin Esfahani, P., Ghavami, M. and Marvasti, F. (2019). UWB orthogonal pulse design using Sturm–Liouville boundary value problem. Signal Processing. 159 (2019), pp. 147-158. https://doi.org/10.1016/j.sigpro.2019.02.008
A new design for cubic spatially processed wideband arrays
Ghavami, M. (2019). A new design for cubic spatially processed wideband arrays. Multidimensional Systems and Signal Processing. https://doi.org/10.1007/s11045-019-00635-w
UWB Device for Microwave Imaging: Validation through Phantoms
Ghavami, M, Vispa, A, Sani, L, Paoli, M, Bigotti, A, Raspa, G, Ghavami, N and Tiberi, G (2019). UWB Device for Microwave Imaging: Validation through Phantoms. 13th European Conference on Antennas and Propagation. Krakow, Poland 31 Mar - 05 Apr 2019
Novel microwave apparatus for breast lesions detection: Preliminary clinical results
Sani, L., Ghavami, N., Vispa, A., Paoli, M., Raspa, G., Ghavami, M., Sacchetti, F., Vannini, E., Ercolani, S., Saracini, A., Duranti, M. and Tiberi, G. (2019). Novel microwave apparatus for breast lesions detection: Preliminary clinical results. Biomedical Signal Processing and Control. 52, pp. 257-263. https://doi.org/10.1016/j.bspc.2019.04.025
Evaluation of Receiver Operating Characteristic Curves in a Microwave Apparatus for Breast Lesions Detection
Tiberi, G, Sani, L, Vispa, A, Paoli, M, Bigotti, A, Saracini, A, Ghavami, N, Ghavami, M, Raspa, G and Duranti, M (2019). Evaluation of Receiver Operating Characteristic Curves in a Microwave Apparatus for Breast Lesions Detection. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019
Phase-weighted UWB Imaging through Huygens Principle
Tiberi, G, Khalesi, B, Sohani, B, Ghavami, N, Dudley, S and Ghavami, M (2019). Phase-weighted UWB Imaging through Huygens Principle. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019
Microwave imaging for stroke detection: validation on head-mimicking phantom
Sohani, B, Tiberi, G, Ghavami, N, Ghavami, M, Dudley, S and Rahimi, A (2019). Microwave imaging for stroke detection: validation on head-mimicking phantom. PIERS (hotonIcs & Electromagnetics Research Symposium). Rome, Italy 17 - 20 Jun 2019
Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor
Rana, S., Dey, M, Ghavami, M and Dudley-McEvoy, S (2019). Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2019.2926238
Out-of-Band Power Suppression for Cyclic SLM with Delayed Correlation and Matched Filter
Pamungkasari, P, Juwono, F, Hayati, N and Ghavami, M (2019). Out-of-Band Power Suppression for Cyclic SLM with Delayed Correlation and Matched Filter. International Conference on Smart Computing & Communications. Miri, Sarawak, Malaysia 28 - 30 Jun 2019
Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
Rana, S.P., Dey, M., Tiberi, G., Sani, L., Vispa, A., Raspa, G., Duranti, M., Ghavami, M. and Dudley, S. (2019). Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data. Scientific Reports. 9, p. 10510. https://doi.org/10.1038/s41598-019-46974-3
ITERATOR: A 3D Gait Identification from IR-UWB Technology
Rana, S., Dey, M, Ghavami, M and Dudley, S (2019). ITERATOR: A 3D Gait Identification from IR-UWB Technology. International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2019). Berlin, Germany 23 - 27 Jul 2019
UWB device for breast microwave imaging: phantom and clinical validations
Vispa, A., Sani, L., Paoli, M., Bigotti, A., Raspa, G., Ghavami, N., Caschera, S., Ghavami, M., Duranti, M. and Tiberi, G. (2019). UWB device for breast microwave imaging: phantom and clinical validations. Measurement: Journal of the International Measurement Confederation. 146, pp. 582-589. https://doi.org/10.1016/j.measurement.2019.05.109
A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area
Riaz, M, Rymar, G, Ghavami, M and Dudley, S (2018). A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area. 36th IEEE International Conference on Consumer Electronics (ICCE). Las Vegas, USA 12 - 14 Jan 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCE.2018.8326224
Skin Cancer Detection through Microwaves: Validation on Phantom Measurements
Ghavami, M, Ghavami, N, Khalesi, B, Tiberi, G and Dudley, S (2018). Skin Cancer Detection through Microwaves: Validation on Phantom Measurements. IEEE International Conference on Imaging Systems and Techniques (IST 2018). Krakow, Poland 16 - 18 Oct 2018 https://doi.org/10.1109/IST.2018.8577109
Simulation study on the impact of the transmission power on the performance of routing protocols under different mobility models
Macintosh, A, FeiSiyau, M and Ghavami, M (2014). Simulation study on the impact of the transmission power on the performance of routing protocols under different mobility models. Fourth edition of the International Conference on the Innovative Computing Technology. London 13 - 15 Aug 2014 London South Bank University. pp. 185 - 190 https://doi.org/10.1109/INTECH.2014.6927758
Experimental vital signs estimation using commercially available IR-UWB radar
Adjrad, M, Dudley, S and Ghavami, M (2014). Experimental vital signs estimation using commercially available IR-UWB radar. Radar Conference. Lille 13 - 17 Oct 2014 IEEE. https://doi.org/10.1109/RADAR.2014.7060328
On the filtering of photoplethysmography signals
Awodeyi, AE, Alty, SR and Ghavami, M (2014). On the filtering of photoplethysmography signals. 2014 IEEE International Conference on Bioinformatics and Bioengineering. Florida, USA. 10 - 12 Nov 2014 IEEE. pp. 175 - 178 https://doi.org/10.1109/BIBE.2014.76
Median based method for baseline wander removal in photoplethysmogram signals
Awodeyi, AE, Alty, SR and Ghavami, M (2014). Median based method for baseline wander removal in photoplethysmogram signals. Bioinformatics and Bioengineering (BIBE), 2014 IEEE International Conference on. Florida, USA. 10 - 12 Nov 2014 IEEE. pp. 311 - 314 https://doi.org/10.1109/BIBE.2014.77
Human Behaviour Model Combining Multiple Sensors
Liao, Z, Buchanan, K, Ghavami, N, Vastardis, N, Adjrad, M, Koch, C, Ghavami, M, Anderson, B, Yang, K, Russo, R and Dudley, S (2015). Human Behaviour Model Combining Multiple Sensors. Conference of the eceee 2015 Summer Study on energy efficiency. Presqu’île de Giens Toulon/Hyères, France 01 - 06 Jun 2015 London South Bank University.
A new approach for event detection using k-means clustering and neural networks.
Oladimeji, MO, Turkey, M, Ghavami, M and Dudley, S (2015). A new approach for event detection using k-means clustering and neural networks. 2015 International Joint Conference on Neural Networks (IJCNN). Killarney IEEE. pp. 1 - 5 https://doi.org/10.1109/IJCNN.2015.7280752
Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
Brown, R., Ghavami, N., Siddiqui, H.-U.-R., Adjrad, M., Ghavami, M. and Dudley, S. (2017). Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles. Energy and Buildings. 141, pp. 134-141. https://doi.org/10.1016/j.enbuild.2017.02.004
Equity Risk Premiums and Risk Free Rates in Modelling and Prediction of Financial Markets
Ghavami, M and Shams Dilmaghani, R (2017). Equity Risk Premiums and Risk Free Rates in Modelling and Prediction of Financial Markets. International Conference on Mathematical Finance, Statistics and Economics. Vienna, Austria 21 - 22 Jun 2017
A Spatially Processed 3D Wideband Adaptive Conical Array System
Ghavami, M (2017). A Spatially Processed 3D Wideband Adaptive Conical Array System. IEEE International Conference on Ubiquitous Wireless Broadband ICUWB’2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE).
UWB Localization Employing Supervised Learning Method
Rana, S., Dey, M., Siddiqui, H., Tiberi, G., Ghavami, M. and Dudley, S (2017). UWB Localization Employing Supervised Learning Method. IEEE International Conference on Ubiquitous Wireless Broadband 2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICUWB.2017.8250971
UWB power propagation for bio-medical implanted devices
Ghafari, M, Brennan, P and Ghavami, M (2015). UWB power propagation for bio-medical implanted devices. 17th International Conference on E-health Networking, Application & Services (HealthCom). Boston, MA, USA 14 - 17 Oct 2015 London South Bank University. pp. 483 - 487 https://doi.org/10.1109/HealthCom.2015.7454551
Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection
Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME (2016). Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection. 10th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Prague, Czech Republic 20 - 22 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
Improving time–frequency domain sleep EEG classification via singular spectrum analysis
Mahvash Mohammadi, S., Kouchaki, S., Ghavami, M. and Sanei, S. (2016). Improving time–frequency domain sleep EEG classification via singular spectrum analysis. Journal of Neuroscience Methods. 273, pp. 96-106. https://doi.org/10.1016/j.jneumeth.2016.08.008
A semantic-enhanced trajectory visual analytics for digital forensic
Liao, Z.-F., Li, Y., Peng, Y., Zhao, Y., Zhou, F.-F., Liao, Z.-N., Dudley, S. and Ghavami, M. (2015). A semantic-enhanced trajectory visual analytics for digital forensic. Journal of Visualization. 18 (2), pp. 173 - 184. https://doi.org/10.1007/s12650-015-0276-z
Classification of awake, REM, and NREM from EEG via singular spectrum analysis
Mohammadi, SM, Enshaeifar, S, Ghavami, M and Sanei, S (2015). Classification of awake, REM, and NREM from EEG via singular spectrum analysis. International Conference of the IEEE Engineering in Medicine and Biology Society. Milan, Italy 25 - 29 Aug 2015 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2015.7319460
Automatic trust calculation for service-oriented systems
Ye, B., Nekovee, M., Pervez, A. and Ghavami, M. (2014). Automatic trust calculation for service-oriented systems. IET Software. 8 (3), pp. 134 - 142. https://doi.org/10.1049/iet-sen.2013.0056
Ultra-wideband-based multilateration technique for indoor localisation
Onalaja, O., Adjrad, M. and Ghavami, M. (2014). Ultra-wideband-based multilateration technique for indoor localisation. IET COMMUNICATIONS. 8 (10), pp. 1800 - 1809. https://doi.org/10.1049/iet-com.2013.0815
Study of human being detection in an indoor environment using ultra wideband radar
Hassan Khausru, MA and Ghavami, M (2014). Study of human being detection in an indoor environment using ultra wideband radar. IEEE International Conference on Ultra-Wideband 2014. Paris, France Institute of Electrical and Electronics Engineers (IEEE). pp. 113 - 118 https://doi.org/10.1109/ICUWB.2014.6958961
Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment
Uchida, S., Sato, A., Inamori, M., Sanada, Y. and Ghavami, M. (2014). Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment. Wireless Personal Communications. 79 (2), pp. 987 - 1002. https://doi.org/10.1007/s11277-014-1899-4
A user-centric system architecture for residential energy consumption reduction
Vastardis, N, Adjrad, M, Buchanan, K, Liao, Z, Koch, C, Russo, R, Yang, K, Ghavami, M, Anderson, B and Dudley, S (2014). A user-centric system architecture for residential energy consumption reduction. IEEE Online Conference on Green Communications. Online 12 - 14 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-7 https://doi.org/10.1109/OnlineGreenCom.2014.7114423