EEG interface for iPhones: The XWave is an EEG (electroencephalography) interface from Sunnyvale, Calif.-based PLX Devices Inc. that works with Apple Inc. (NSDQ:AAPL) iPhones and iPads as a controller for games, meditation training and potentially many other uses not invented yet. The actual EEG is NeuroSky Inc.’s eSense dry sensor, which the company has been licensing to other companies in order to push the technology into consumer hands. “The plastic headband, which costs around $100, has a sensor that presses against the user’s forehead and communicates with a free XWave iPhone application that then shows your brain waves graphically on the iPhone screen,” according to the company.
WebMD’s Medscape arrives on Android phones and iPads: Since its initial launch nearly two years ago, WebMD’s Medscape has become one of the most popular medical smartphone apps on the market. Hundreds of thousands of users are already using Medscape Mobile, and the company hopes to further extend the reach of its free app with today’s announcement of iPad and Google (NSDQ:GOOG) Android versions of Medscape, available now in the Apple app store and Android market, respectively.
Nurse Call comes to the iPhone: Rauland-Borg Corp., a developer of Nurse Call solutions, announced its strategic partnership with Voalté, a developer of point-of-care communications software on the iPhone and other smartphone platforms. The nurse call to iPhone integration will enable patient calls from Rauland-Borg’s Responder 5 Nurse Call system to connect directly to the caregiver’s Voalté-enabled iPhone.
Algorithm predicts heart disease: Revolution Analytics, a provider of commercial software and support for the open source R statistics language, announced the successful implementation of its signature product, Revolution R Enterprise, by biostatisticians at CardioDX, a genomic research firm. Revolution R was used to design the Corus CAD test, the first test of its kind to analyze genomic data and identify at-risk patients for coronary artery disease (CAD) without requiring an invasive procedure. Revolution R was used to help develop the algorithm that powers the test. To do so, biostatisticians at CardioDX analyzed over 10 gigabytes of genomic data to ultimately identify 23 predictive genes for CAD. MassDevice wants to know when the technology will be made into a mobile app.
A weekly roundup of new developments in wireless medical technology and mHealth, by MedGadget.com.