Suspected brain injuries can be difficult to diagnose, and expensive CT scanners are the best way to look for edemas and hematomas. But CT scanners are large, expensive, ionizing, and require specialists to operate.
The Wheezometer device is an ultrasound-based cough detector using ARM technology that fits against a patient’s neck, automatically detecting coughs and counts coughing events by detecting both high and low frequency mechanical vibrations in the tracheal area, and then tracking their severity and duration. The device then stores that data or sends it wirelessly to a computer or other logging device. Just 30 seconds of breath sounds are sufficient to use the advanced signal processing algorithms to detect, quantify, and objectively document the presence of wheeze and its extent.
Researchers at Oregon State University have tapped into the extraordinary power of carbon “nanotubes” to increase the speed of biological sensors, a technology that might one day allow a doctor to routinely perform lab tests in minutes, speeding diagnosis and treatment while reducing costs.
The new findings have almost tripled the speed of prototype nano-biosensors, and should find applications not only in medicine but in toxicology, environmental monitoring, new drug development and other fields.
The research was just reported in Lab on a Chip, a professional journal. More refinements are necessary before the systems are ready for commercial production, scientists say, but they hold great potential.
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.
1.patient fall detection using hip and abdomen sensor.
2.breathing sensor with sleeping pattern analysis.
3.bionic sensor based foot sensing and hip monitoring with lcd display.
4.disabled person brain wave detection with leg sensor.
5.intelligent monitoring system in psychological health.
6.hospital emergency caring system.
7.respiratory temperature monitor in icu
8.automatic patient heart beat and body temperature monitoring for remote doctor.
9.reduce the potential risks for sudden infant death
syndrome(sids).
10.peritoneal based medical filter process