Etiometry is building a clinical-decision support system to interpret large volumes of real-time patient data and guide diagnosis and treatment. It integrates and analyzes information from heart monitors, ventilators, and pressure sensors and plugs the data into predictive models that have been built on prior patient outcomes.
Navy sonar technology is being miniaturized by University at Buffalo professor Tommaso Melodia to be applied inside the human body to treat diseases like diabetes and heart failure in real time.
A network of wireless body sensors that use ultrasounds could be used to wirelessly share information between medical devices implanted in or worn by diabetic/heart failure patients.
Previously, researchers focused on linking sensors together via electromagnetic radio frequency waves – the same type used in cellular phones, GPS and wireless devices. Radio waves can be effective, but they generate heat and require large amounts of energy to propagate through skin, muscle and tissue. Ultrasound may be a more efficient way to share information as 65 percent of the body is composed of water. This suggests that medical devices, such as a pacemaker and a blood oxygen level monitor, could communicate more effectively via ultrasounds compared to radio waves.
Melodia highlights the technology’s use in diabetes patients, where wireless blood glucose sensors could be connected to implantable insulin pumps. The sensors would monitor the blood and, via the pumps, control the dosage of insulin as needed in real time.
A team of researchers at Xerox is working on technology that would allow doctors to obtain patients’ vital signs using a simple webcam. Already, the team is testing use of the technology to monitor the pulse rate of premature babies and to track irregular heartbeats in patients suffering from arrhythmia.
By applying further signal-processing algorithms to the images, doctors can get a read-out of a baby’s blood-oxygen level. If the camera can see more than one part of the child it can also measure that child’s blood pressure. It does this by recording the time each pulse caused by the heartbeat takes to arrive in different arteries.
An overview of 8 new sensor based health tracking devices. Some predict that 400 million such products will enter the market by 2014.
The Health eHeart Study will use smartphone apps, sensors and other devices to gather data on a wide variety of measures associated with cardiovascular health—including blood pressure, physical activity, diet and sleep habits—in real time.
A Fujitsu research lab has developed software that can accurately measure a subject’s pulse using the small digital cameras attached to smartphones and tablets.
The technology is based on the fact that the brightness of an individual’s face changes slightly as their heart beats, due to their blood flow. Hemoglobin, which carries oxygen around the body, absorbs green light, so analyzing the change in color of parts of the face reveals their heart rate.
As most image sensors capture pixel information in red, blue and green, they have the ability to detect hemoglobin built in. Fujitsu’s technology keeps track of specific regions of the face over time to take pulse measurements.
It seems that every day a new app or device promising the ultimate in health or fitness monitoring enters the market. A startup has created a personal analytics dashboard which gives people a big picture view of their own aggregated data and underlying patterns, helping them make sense of the numbers.
A doctor recently used his iPhone, in combination with AliveCor, a mounted sensor capable of delivering clinically accurate electrocardiograms, while in flight, to measure the vital signs of a passenger experiencing severe chest pains at 30,000 feet.
The results indicated that the passenger was having a heart attack. The doctor recommended an urgent landing, and the passenger survived after being rushed to the hospitall
PUMA measures six components to evaluate metabolic function: oxygen and carbon dioxide partial pressure, volume flow rate, heart rate, and gas pressure and temperature. From those measurements, PUMA can compute the oxygen uptake, carbon dioxide output and minute ventilation (average expired gas flow rate). A small, embedded computer takes readings of each sensor and relays the data wirelessly to a remote computer via Bluetooth.