Research

Integrated Circuits

In this research for the temperature sensor, a new way of flexible, wearable trans-thoracic electrical impedance measurement systems to prevent heart failure is being studied. The  whole  system  can  be  attached  to the  skin  using  medical  tape  and  does  not  need  tight  clothing or  uncomfortable  straps. In another application the impedance sensor is used for cell characterization. To the  best  of  our  knowledge,  our  topology  is  the  first  using current change for measuring resistance and delay to measure capacitance, implementing both impedance particles.

With only 4  circuit  blocks.  The  output  of  our  system  is  frequency, which  can  be  transmitted  without  the  need  for  bulky  and power-consuming  analog  to  digital  converter  blocks.  Using a  custom  impedance  measurement  circuit  makes  this  system have  the  lowest  weight  and  power  consumption  among  the state  of  art  designs. In other sensor research A Sub-uw CMOS temperature to frequency sensor for implantable devices is designed. Sensors used in implantable devices must have sub-uW power consumption to avoid tissue overheating. Thus this temperature sensor employs subthreshold MOS as the sensing element to reduce power consumption and enable minimum supply voltage. The frequency conversion topology is chosen in these sensors and applications based on its low power consumption.


Hardware Security

Since biomedical sensors are getting integrated with the Internet of Things (IoT) systems, IoT security, previously ignored, has now become critical to address.  The hardware integrated security implementation, code the signal from the start, eliminating the source of threat to your privacy. I develop a new use of chaotic circuits as a method of ciphering communication in IoT devices. The system is then fabricated in CMOS technology as a single chip. Chaotic systems, each with different starting initial conditions, because of the exponential divergence of the nearby trajectories of chaotic systems, may seem surprising to match. However, when the two systems are coupled. They share a single state, which is provided by the drive system, and can exhibit a phenomenon known as Synchronization of Chaos.


Integrated Circuits for Physiological Monitoring


Integrated Circuits (ICs) for physiological monitoring play a pivotal role in advancing healthcare technologies. These specialized ICs are designed to seamlessly integrate various sensors and processing units, enabling real-time monitoring of physiological parameters such as heart rate, blood pressure, temperature, and more. The versatility of these ICs allows for the creation of compact and efficient monitoring devices, ranging from wearable fitness trackers to sophisticated medical equipment. The integration of advanced signal processing algorithms within these circuits ensures accurate and reliable data analysis, facilitating timely diagnosis and personalized healthcare interventions. As technology continues to evolve, the development of highly integrated circuits for physiological monitoring contributes significantly to the ongoing revolution in healthcare, enhancing our ability to monitor and manage individual health in diverse settings.


Flexible Electrodes

Electrochemical  sensing  is  a  widely  used  tool  to  quantify analytes  such  as  glucose  and  dopamine  which  are  important indicators.  A  real-time  electrochemical  monitoring  system should  be  small  in  size,  operate  on  a  limited  power  budget, and show a linear relationship over the required measurement range. In this research the focus is on incorporating a flexible electrode design within the integrated circuits to enhance the adaptability of the monitoring system. Flexible electrodes not only provide conformal contact with biological tissues but also offer improved comfort for users, making them suitable for wearable and implantable devices, thereby advancing the feasibility and user acceptance of real-time electrochemical monitoring systems for physiological indicators like glucose and dopamine..