An innovative smartphone electrocardiogram (ECG) system provides physicians and patients with hospital-quality heart rhythm monitoring outside of the hospital setting.
The CardioDefender Diagnostic System delivers mobile heart monitoring and automated reporting by combining patented analytical smartphone software with a Bluetooth device and electrodes, enabling the smartphone to perform as a mobile ECG.
continue reading on :::
Hospimedica - Smartphone Technology Meets Personalized Medicine
Friday, March 16, 2012
Wednesday, March 14, 2012
Monday, March 12, 2012
to get the relevant material related to our field of research
As in Biomedical field research is an essential part and it comes as we join the Postgraduate program of this field. So it becomes essential that one must learn to read the research papers , to find these research papers we are moreover confused most of those times that where to search and how to get the relevant material related to our field of research
Here I will tell you that there is a software called PUBLITOR with which you can easily download as well as find the research papers of pubmed & pubmed central directly from your desktop with a active internet connection
New Algorithm for Quantification of High Frequency and Non-deterministic events of Heart
Background: Heart signals represent an important way to evaluate cardiovascular function and often what is desired is to quantify the level of some signal of interest against the louder backdrop of the beating of the heart itself. An example of this type of application is thequantification of cavitation in mechanical heart valve patients.
Methods: An algorithm is presented for the quantification of high-frequency, non-deterministicevents such as cavitation from recorded signals. A closed-form mathematical analysis of the algorithm investigates its capabilities. The algorithm is implemented on real heart signals to investigate usability and implementation issues. Improvements are suggested to the base algorithm including aligning heart sounds, and the implementation of the Short-Time Fourier Transform to study the time evolution of the energy in the signal. Results: The improvements result in better heart beat alignment and better detection and measurement of the random events in the heart signals, so that they may provide a method to quantify non-deterministic events in heart signals. The use of the Short-Time Fourier Transform allows the examination of the random events in both time and frequency allowing for further investigation and interpretation of the signal. Conclusions: The presented algorithm does allow for the quantification of non-deterministic events but proper care in signal acquisition and processing must be taken to obtain meaningful results.
link :: full pdf
Bone Healing monitored by Implanted sensors
Biomedical engineers at the Rensselaer Polytechnic Institute have created an implantable sensor that can be placed in the site of recent orthopaedic surgery to transfer data about how the body is healing. The sensor could provide a more accurate, cost effective and less invasive way to monitor and diagnose the body post-surgery.
The current way of monitoring a patient’s recovery after an orthopaedic procedure relies on X-rays and MRIs. These new sensors could give surgeons detailed, real-time information from the actual surgery site, which could help to better understand potential complications.
The sensors are four millimetres in diameter and 500 microns thick. They look like small coils of wire and are attached to commonly-used musculoskeletalimplants such as rods, plates or prostheses. Once implanted, the sensor can monitor and transmit data about the load, strain, pressure, or temperature of the healing surgery site. The sensor is scalable, tunable, and easy to configure so that it may be incorporated into many different types of implantable orthopaedic devices. They don’t need a battery: instead, they are powered by an external device used to capture the data.
The sensors work by measuring internal displacement. This internal displacement can be made sensitive to force, pressure or temperature depending on how the sensors are tuned. Theoretically a number of different sensors tuned for different measurements could be implanted.
Eric Ledet, assistant professor in the department of Biomedical Engineering at Rensselaer, told Wired.co.uk that the physics behind the sensor is similar to a tuning fork. With a tuning fork, you add mechanical energy by banging it against something. It then resonates at a characteristic frequency, which we hear as a sound.
“Our sensors are also resonators, but they are energised by radio frequencyenergy. When you subject them to a radio frequency field using an antenna, they resonate at a characteristic frequency. That resonant frequency is modulated by force or pressure or temperature. So we add radio frequency energy to the sensor, allow it to resonate, then we “listen” to its resonant frequency with an antenna. Passive resonator sensors are not new, but ours have no electrical connections which makes them very simple and very robust.”
The device they use to “listen” to the resonance is an “off-the-shelf network analyser (made by Agilent) with some custom electronics”. The system created the radio frequency field to energise the sensors and then also listens for the resonant frequency.
The team has filed for patent protection for the new sensor. They currently make each one by hand and are investigating methods for mass production.
You can find out more about the project on Ledet’s page.
Subscribe to:
Posts (Atom)