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Capabilities


Biomedical Engineering

 

PERL Research is committed to development of high performance, application specific portable biomedical devices. We put a special emphasis on hardware and software development for noninvasive, robust, portable monitors, extended battery life and reliable operation during normal activity. In addition, we employ state of the art algorithms in our devices.  Our areas of expertise include:

 

Bio-monitoring

  • Smart remote monitoring devices
  • Decision support tools
  • Remote Patient Assessment

 

Trauma

  • Decision Support Systems
  • Physiology Modeling
  • Intelligent patient assessment

 

Cardiology and electrophysiology

  • Real time monitoring of Heart Rate Variability (HRV)
  • Monitor of myocardial ischemia
  • Arrhythmia analysis

 

Activity monitors

  • Accelerometer based activity monitor
  • Prolonged data acquisition of forces and body position

 

Respiratory monitors

  • Portable respiration monitors.

 

Biofeedback devices

  • Portable biofeedback devices based on respiration and/or cardiac activity.
     


Information Analytics

 

From its inception, PERL Research has been at the forefront of advanced information technology and computational and quantitative data analytics.

 

Statistical Analysis/Modeling

  • Regression, correlation, clustering, multivariate, time series prediction, and Monte Carlo Methods

Image/Signal Processing 

  • Detection, filtering, spectral analysis, compressing, pattern recognition, object tracking and data fusion

Knowledge Discovery and Data Mining 

  • Statistical analysis, feature evaluation/selection, search optimization, pattern recognition, and uncertainty management.

Decision Support Systems

  • Data warehousing, intelligent agents, classification, on-line analytical processing, and machine learning

Artificial intelligence Techniques

  • Ensemble methods, probabilistic decision networks, ensemble methods, support vector machines, evolutionary algorithms, and neural networks

 



Health  2.0

 

Health 2.0 is a new concept of healthcare wherein all the constituents (patients, physicians, providers, and payers) focus on healthcare value (outcomes/price) and use competition at the medical condition level over the full cycle of care as the catalyst for improving the safety, efficiency, and quality of health care. Health 2.0 integrates applications, services and tools that are Web-based services for health care consumers, caregivers, patients, health professionals, and researchers. PERL Research is developing innovative solutions to provide better care and information to families. 

 

  • Electronic Health Records

 

  • Real-time monitoring/information

 

  • Evidence based medicine

 

  • Social Networking

 

  • Targeted medical information

 

  • Virtual Reality

 

  • Electronic prescriptions

 

 



 

 



Sensor Networks

 

PERL Research is developing a rapidly deployable networked sensor capability to overcome the limitations of current stove-piped sensor systems.  This system provides flexible sensor reconfiguration, resource management,  interoperable comparison and processing between large numbers of sensors in a geospatial-temporal environment.  It allows efficient resource reallocation and resource sharing among applications as the deployment and usage of the resources has been tightly coupled with the specific location, sensor application, and devices.  The system consists of a scalable front-end and middleware components for the discovery, acquisition, management/control, and processing of remote sensors. It integrates open technical standards of the Open Geospatial Consortium (OGC) Sensor web Enablement (SWE) framework with our secure portal communications.  A key component of the system is a portable sensor web node portal that will allow plug-n-play sensors on the network.  Our OCG standards compliant design approach allows our front-end and middleware components to be incorporated into many current and future architectures.

   

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