New Approach for Clinical Data Analysis of Microwave Sensor Based Bone Healing Monitoring System in Craniosynostosis Treated Pediatric Patients

Perez, Mauricio D.; Mattson, Viktor; Shah, Syaiful Redzwan Mohd; Velander, Jacob; Asan, Noor Badariah; Mathur, Parul; Nasir, Mohammad; Nowinski, Daniel; Kurup, Dhanesh G.; Augustine, Robin

doi:10.1109/cama.2018.8530485

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…This concept is also supported by other studies including, besides an assessment of burn injuries [11], ethically approved clinical trials studying bone healing after cranial [12], [13] and hip fracture surgeries [6], [8], [14]. In addition, as part of future optimization and system integration processes, an analytical model is also proposed and being studied [15].…”

Section: A Design Of the Split Ring Resonator Sensormentioning

confidence: 77%

Analysis of Thickness Variation in Biological Tissues Using Microwave Sensors for Health Monitoring Applications

et al. 2019

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The microwave sensing technique is a possible and attractive alternative modality to standard X-rays, magnetic resonance imaging, and computed tomography methods for medical diagnostic applications. This technique is beneficial since it uses non-ionizing radiation and that can be potentially used for the microwave healthcare system. The main purpose of this paper is to present a microwave sensing technique to analyze the variations in biological tissue thickness, considering the effects of physiological and biological properties on microwave signals. In order to fulfill this goal, we have developed a two-port noninvasive sensor system composed of two split ring resonators (SRRs) operating at an Industrial, Scientific, and Medical (ISM) frequency band of 2.45 GHz. The system is verified using the amplitude and phase of the transmitted signal in ex-vivo models, representing different tissue thicknesses. Clinical applications such as the diagnosis of muscular atrophy can be benefitted from this study.

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Section: A Design Of the Split Ring Resonator Sensormentioning

confidence: 77%

Analysis of Thickness Variation in Biological Tissues Using Microwave Sensors for Health Monitoring Applications

et al. 2019

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“…Figure 3 shows an illustrative schematic of the different layers of the SRR. Previous works have used this sensor [ 31 , 43 , 44 ] to analyze bone healing in patients with lower extremity trauma and patients undergoing surgery in treatment of craniosynostosis. A similar system was presented in those works using a similar hardware configuration but operating with only one sensor in reflection mode.…”

Section: Methodsmentioning

confidence: 99%

MAS: Standalone Microwave Resonator to Assess Muscle Quality

Mattsson

Ackermans

Mandal

et al. 2021

Sensors

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Microwave-based sensing for tissue analysis is recently gaining interest due to advantages such as non-ionizing radiation and non-invasiveness. We have developed a set of transmission sensors for microwave-based real-time sensing to quantify muscle mass and quality. In connection, we verified the sensors by 3D simulations, tested them in a laboratory on a homogeneous three-layer tissue model, and collected pilot clinical data in 20 patients and 25 healthy volunteers. This report focuses on initial sensor designs for the Muscle Analyzer System (MAS), their simulation, laboratory trials and clinical trials followed by developing three new sensors and their performance comparison. In the clinical studies, correlation studies were done to compare MAS performance with other clinical standards, specifically the skeletal muscle index, for muscle mass quantification. The results showed limited signal penetration depth for the Split Ring Resonator (SRR) sensor. New sensors were designed incorporating Substrate Integrated Waveguides (SIW) and a bandstop filter to overcome this problem. The sensors were validated through 3D simulations in which they showed increased penetration depth through tissue when compared to the SRR. The second-generation sensors offer higher penetration depth which will improve clinical data collection and validation. The bandstop filter is fabricated and studied in a group of volunteers, showing more reliable data that warrants further continuation of this development.

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“…The initial design and optimisation in both simulation and laboratory were reported by Raman et al [13]. There, the potential of this method was highlighted and a preliminary clinical campaign which consisted of 21 new‐born infants was carried out later [14, 15]. A variant of this method, which consisted in the resonance perturbation of an open‐ended circular cavity, was also investigated in simulation [16].…”

Section: Introductionmentioning

confidence: 99%

Head‐compliant microstrip split ring resonator for non‐invasive healing monitoring after craniosynostosis‐based surgery

Perez

Jeong

Raman

et al. 2020

Healthcare Technology Letters

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New Approach for Clinical Data Analysis of Microwave Sensor Based Bone Healing Monitoring System in Craniosynostosis Treated Pediatric Patients

Cited by 4 publications

References 9 publications

Analysis of Thickness Variation in Biological Tissues Using Microwave Sensors for Health Monitoring Applications

Analysis of Thickness Variation in Biological Tissues Using Microwave Sensors for Health Monitoring Applications

MAS: Standalone Microwave Resonator to Assess Muscle Quality

Head‐compliant microstrip split ring resonator for non‐invasive healing monitoring after craniosynostosis‐based surgery

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