Category Archives: BIOMEDICAL SIGNAL ANALYSIS

BASICS OF ULTRASONOGRAPHY

Ultrasound is a sound wave with frequencies higher than the upper audible limit of human hearing. This limit varies from person to person and is approximately 20 kilohertz (20,000 hertz) in healthy, young adults. Ultrasound devices operate with frequencies from 20 kHz up to several gigahertz. Medical Sonography (Ultrasonography) is an ultrasound-based diagnostic medical imaging technique used to visualize muscles, tendons, and many internal organs, to capture their size, structure and any pathological lesions with real time tomographic images. Conventional ultrasound displays the images in thin, flat sections of the body. Advancements in ultrasound technology include three-dimensional (3-D) ultrasound that formats the sound wave data into 3-D images.

How Does It Function?

Automatic Speaker Recognition (ASR) as Biometric System

Speech as an Art form

  • If we closely observe ourselves, each one of us can effectively manipulate a mundane activity like exhalation and turn it into meaningful art forms of self-expression either in the form of speech or singing.
  • Like self-expression, imitation is also considered an art and we appreciate great artists, who can successfully do so. But could such skills be used to forge biometric security systems?
  • ASR has developed from IBM’s Shoebox to today’s Siri on an iPhone. Could voice-based recognition system that we use to access our phone today be as reliable as we think?

Short Term Course on Medical Signal Processing – NIT Jalandhar

Dr B R Ambedkar National Institute of Technology, Jalandhar
One-Week Short Term Course On Medical Signal Processing and Interpretation
(Under TEQIP-II)
December 23rd –to-27th, 2013

Contents:
The course contents would cover Basics of Human Physiological Systems, Bio electrical Signals and their Acquisition, Basics of Medical Signal Processing, Analysis, Interpretation for correlating them with specific features related to disease classification, Clinical Applications.

Objectives of the Short Term Course
1. To enhance technical and professional competency of the
faculty members.
2. To promote interaction among the professionals working in
Bio medical Engineering field and allied areas.

Sleep Profiler for brain Monitoring

Advanced Brain Monitoring, a medical device company focused on developing and commercializing innovative devices for sleep medicine and neurology, announces that the U.S. Food and Drug Administration (FDA) has granted 510(k) clearance for Sleep Profiler. Sleep Profiler is a patient-friendly neuro-cardio diagnostic tool to assess sleep architecture and continuity.

SANJEEVNI 2012: Biomedical Signal Processing Workshop in Hyderabad

A 3-Day workshop on Bio-Medical Signal Processing for Biomedical Engineering students, Faculties and Research Scholars, Hosted by the
Department of Biomedical Engineering at GRIET, on behalf of CARDEA LABS. Cardea Biomedical Technologies Pvt. Ltd. Was incorporated in March 2008 with aim of providing low cost noninvasive healthcare solutions. Founded by first generation entrepreneurs with dedicated teams both for hardware design and software development. It provides complete, innovative and cost-effective solutions to the pressing clinical needs of India and the world at large. Cardea works closely with scientists, researchers, medical and business professionals to bring about major advances in healthcare. Solving medical related problems, developing healthcare products and providing services to improve people’s lives is our
vision.

PhD Position in Biomedical Signal Processing in Sweeden

The PhD student position concerns own research and education within the area of biomedical signal processing. This area is focused on the development of mathematical models and algorithms for the analysis of biomedical signals. The present research project deals with novel methods for compression and characterization of signals reflecting local electrical activity in the brain. Of particular interest is to analyze the propagation, causality, and dynamics of such signals. The research is pursued in collaboration with the Neuronano Research Center at Lund University, where one postdoctor is active and will co-supervise the PhD student.