The Center for Remote Health Technologies and Systems (CRHTS) partners with industry leaders to provide a wide range of design and modeling services. These range from device-level activities for semiconductor, consumer-device and medical-device markets to data analytics and large-scale systems modeling for hospitals, outpatient services and population health.
CRHTS modeling skills include machine learning, signal processing, image processing, neural networks, Monte Carlo simulation, human-machine interface simulation, sketch recognition, electronic simulation, human-factors analysis, systems simulation, stochastic scheduling, and global optimization.
CRHTS works closely with semiconductor and device companies to model, analyze and design new photonics components and subsystems. CRHTS uses a variety of modeling tools, including custom software models of photon propagation through tissue using Monte Carlo simulation. In addition, CRHTS modeling software is capable of analyzing optical hardware coupled to tissue designs to improve low-power capabilities and signal quality by assisting in wavelength selection, physical dimensions and source and detector placement for various component and device designs.
CRHTS works with hospital systems and data aggregators on “Big Data” applications. These applications involve integration of wearable sensors, medical devices, electronic health records,and environmental data for assessing compliance, predicting risk and initiating interventions for patients with chronic diseases such as diabetes and asthma. CRHTS also works with hospitals, medical clinics and public health organizations in systems design and improvement activities associated with new, technologically-driven measures and methods of service delivery such as e-consults, telehealth, and asynchronous scheduling and communications. These activities focus on service design and impact assessment through simulation modeling and optimization.
The Center for Remote Health Technologies and Systems (CRHTS) has a range of facilities for prototyping electronic, optical and mechanical systems and works with industry partners from across the globe on original equipment manufacture (OEM) prototypes.
CRHTS works with clinical, public health and behavioral psychology experts toward non-obtrusive designs for patients and end users that involve wearable sensors and mobile platform medical devices for fitness, preventative care for patients with a predisposition for disease, and predictive analysis of chronically ill conditions such as diabetes or heart disease.
CRHTS can prototype phantom tissues and test and measurement systems that have the ability to mimic human tissue anatomy and physiology, including providing accurate optical properties of skin tone and blood. The test systems described in the Test and Measurement section can simulate various motion artifact, pressures and temperatures. Together, these phantoms and systems can improve design cycle time and minimize the number and scope of animal and human studies.
CRHTS mechanical facilities range from excimer laser cutting with feature sizes down to a few microns, CO2 laser cutting for hundreds of microns, 3-D printers, and a full machine shop including a milling machine for larger-scale prototyping. The electrical facilities include a full suite of National Instruments (NI) ELVIS boards for early prototyping, printed circuit board prototyping capabilities, RF coil fabrication, and reflow soldering system. The optical capabilities include a range of configurable systems from fluorescent sensing and imaging to polarized light systems to optical coherence tomographic imaging and mobile platform-based sensing and imaging systems such as photoplethysmography (PPG) and microscopy on a phone.
- Gerard Coté, Biomedical Engineering
- Akhilesh Gaharwar, Biomedical Engineering
- Ricardo Gutierrez-Osuna, Computer Science and Engineering
- Tracy Hammond, Computer Science and Engineering
- John Hanks, Biomedical Engineering
- Roozbeh Jafari, Biomedical Engineering, Computer Science & Engineering, Electrical & Computer Engineering and Computer Engineering
- Pao-Tai Lin, Electrical and Computer Engineering, Materials Science and Engineering
- Mike McShane, Biomedical Engineering
- Sam Mabbott, Biomedical Engineering
- Kristen Maitland, Biomedical Engineering
- Michael Moreno, Mechanical Engineering
- Sung Il Park, Electrical and Computer Engineering
- Limei Tian, Biomedical Engineering
- Vladislav Yakovlev, Biomedical Engineering
- Richard Horner
- Cody Lewis
Texas A&M Supercomputing Facility
Texas A&M Optical Biosensing Lab
Texas A&M Perception, Sensing and Instrumentation Lab
Texas A&M Sketch Recognition Lab
Class 10,000 Cleanroom
Biosafety Lab – Level 2
Equipment (software tools)
- Monte Carlo Simulation
- Wolfram SystemModeler
- C programming
Disclaimer – Each Faculty Member has individual research laboratories, where they conduct specific research structured to their particular field.