Lab

Robin Augustine's Lab - Microwaves in Medical engineering Group (MMG)

Featured projects (1)

Project
Wireless Brain-Connect inteRfAce TO machineS: B-CRATOS:Merging novel wireless communication, neuroscience, bionics, Artificial Intelligence and sensing to create for the first time a battery-free high-speed wireless in-body communication platform for Brain-Machine-Body connectivity. Groundbreaking technological components - wireless two-way microwave fat intra-body and RF backscatter communication, battery-free powering technology, bio-inspired sensing, dexterous biomechatronic extremity- will be codesigned and a proof-of-concept, revolutionary untethered brain-machine interface will be created. This technology will have profound impact in the fields of neuroprosthetics (restoration of missing biological functions such as vision, audition, movement, sensation, movement, cognition through the bypassing damaged circuits), Brain-Computer Interfaces (brain plasticity through machine learning, gaming, virtual reality), and electroceuticals (modulation of organ function through neural circuits instead of pharmaceuticals), gaming (immersion), and Virtual Reality. B-CRATOS will overcome major challenges relating to power consumption, batteries, and data transmission bandwidth through breakthrough battery-free bidirectional wireless communication technology. The revolutionary signal bridge technology will impact healthcare, quality-of-life, and human learning and cognition. Key Enabling Technologies for this closed-loop functionality include ultra-low-power ASIC brain implants with read/write capability, battery-free in-body high-speed wireless communications systems, human-like artificial sensors and limbs. http://www.b-cratos.eu/

Featured research (7)

Precise data acquisition, characterization, and finding the relationship between permittivity variations of human skin with degree of burns is critically important because It further helps in the development of excellent sensor devices for diagnostics and treatment of patients suffering from burns and scalds. This work is also a part of the European “Senseburn” project that focuses to develop a non-invasive diagnostic tool for the assessment of human burns based on its degree and depth in the clinical setup. In this work, several Ex-vivo burnt samples were collected from the Uppsala University Hospital (Akademiska sjukhuset, Sweden), and out of that, eight samples with different burn degrees and of various human body parts were selected for the analysis. The dielectric characterization of the categorized samples was done by using an open-end co-axial probe kit. The measurement was made systematically and clinician feedback forms were maintained throughout the process. The measurement data followed the FASTCLUS procedure which was analyzed initially using density plot, Convergence, and cubic clustering criteria respectively. The dielectric characterization was made from 500 MHz to 10 GHz with 1001 points and from the previous sensor designs, the results were found to be excellent between 500 MHz to 5 GHz. For the statistical analysis, 11 frequency points were considered for 8 samples. The results of the basic statistical analysis using the FASTCLUS procedure resulted in 88 data sets. Later, data sets were analyzed based on the cluster-wise of all samples and sample-wise clusters. Every sample was made with two clusters i.e, cluster 1 which consisted of healthy sectors, and cluster 2 which consisted of burnt sectors. Furthermore, we found that the permittivity differences of clusters are proportional to the degree of the burns. This is pivotal information and It helps to improve the functioning of the diagnostic microwave sensors by designing them according to the permittivity variations. For this purpose, an extensive campaign of around 1000 measurements across a band of 1–30 GHz was done and it leads to the conclusion that each skin region of interest (ROI) provides unique dielectric properties.
The European "Senseburn" project aims to develop a smart, portable, non-invasive microwave early effective diagnostic tool to assess the depth(d) and degree of burn. The objective of the work is to design and develop a convenient non-invasive microwave sensor for the analysis of the burn degree on burnt human skin. The flexible and biocompatible microwave sensor is developed using a magnetically coupled loop probe with a spiral resonator (SR). The sensor is realized with precise knowledge of the lumped element characteristics (resistor (R), an inductor (L), and a capacitor (C) RLC parameters). The estimated electrical equivalent circuit technique relies on a rigorous method enabling a comprehensive characterization of the sensor (loop probe and SR). The microwave resonator sensor with high quality factor (Q) is simulated using a CST studio suite, AWR microwave office, and fabricated on the RO 3003 substrate with a standard thickness of 0.13 mm. The sensor is prepared based on the change in dielectric property variation in the burnt skin. The sensor can detect a range of permittivity variations (ε r 3-38). The sensor is showing a good response in changing resonance frequency between 1.5 and 1.71 GHz for (ε r 3 to 38). The sensor is encapsulated with PDMS for the biocompatible property. The dimension of the sensor element is length (L) = 39 mm, width (W) = 34 mm, and thickness (T) = 1.4 mm. The software algorithm is prepared to automate the process of burn analysis. The proposed electromagnetic (EM) resonator based sensor provides a non-invasive technique to assess burn degree by monitoring the changes in resonance frequency. Most of the results are based on numerical simulation. We propose the unique circuit set up and the sensor device based on the information generated from the simulation in this article. The clinical validation of the sensor will be in our future work, where we will understand closely the practical functioning of the sensor based on burn degrees. The senseburn system is designed to support doctors to gather vital info of the injuries wirelessly and hence provide efficient treatment for burn victims, thus saving lives.
A developed six-port reflectometry (SPR) system was integrated to measure the relative permittivity of tumor and normal breast tissue for medical diagnostic purpose. In order to obtain an accurate and precise measurement, the calibration process was done to the SPR using the well-known three-standard technique. Next, the studied dielectric probe was connected to the calibrated measurement-port of the SPR. The open end of the probe aperture was dibbed into the normal and tumor synthetic breast tissue samples to measure the synthetic breast tissues dielectric constant, ɛrʹ, and loss factor, ɛrʺ in the frequency range of 1.5 GHz to 3.3 GHz. Finally, the comparative studies were conducted between commercial VNA with Keysight 85070E dielectric probe and the studied SPR-probe system based on the measured magnitude of the reflection coefficient, phase shift, dielectric constant, and loss factor of the synthetic breast samples. The maximum absolute errors of the measured reflection coefficient magnitude, phase shift, dielectric constant, and loss factor were found to be 0.01, 1.07°, 1.12, and 0.75, respectively. It was ascertained that the predicted dielectric constant, ɛrʹ, is able to differentiate between normal, (ɛrʹ < 50) and tumor, (ɛrʹ > 50) breast tissues.

Lab head

Robin Augustine Kachiramattom
Department
  • Department of Engineering Sciences
About Robin Augustine Kachiramattom
  • https://katalog.uu.se/profile/?id=N11-2151

Members (10)

Mauricio David Perez
  • Uppsala University
Bappaditya Mandal
  • Uppsala University
Noor Badariah Binti Asan
  • Technical University of Malaysia Malacca
Jacob Velander
  • Solid State Electronics
Parul Mathur
  • Amrita Vishwa Vidyapeetham,Bangalore,India
Marco Raaben
  • University of Twente
Laya Joseph
  • Uppsala University
Lars Tenerz
Lars Tenerz
  • Not confirmed yet
Roger L. Karlsson
Roger L. Karlsson
  • Not confirmed yet
Per-Ola Carlsson
Per-Ola Carlsson
  • Not confirmed yet
Roger Karlsson
Roger Karlsson
  • Not confirmed yet
Viktor Matsson
Viktor Matsson
  • Not confirmed yet
Laya Joseph
Laya Joseph
  • Not confirmed yet
pramod rangaiah
pramod rangaiah
  • Not confirmed yet
rocco calzone
rocco calzone
  • Not confirmed yet