iPhone,App,Can,Detect,Cardiac, computer An iPhone App Can Detect Cardiac Rate


Gone are those times when the companies and the organisations didn't need a hi-tech system to handle them. Owing to the considerable increase in the business sector and thus, an enormous increase in the complexity of the organisational struc ----------------------------------------------------------Permission is granted for the below article to forward,reprint, distribute, use for ezine, newsletter, website,offer as free bonus or part of a product for sale as longas no changes a


Recently, an iPhone app that measures breathing rate and cardiac rate was developed and it becomes more and more popular. The developerutilizes the iPhone’s built-in video camera to monitor cardiac rate. Patientscan just use iPhones to monitor their health conditions without doctors at anytime. Many doctors praise this iPhone app for itsexcellent practicability. It can transmit an accurate signal about vital signof a patient as the professional medical equipment can. Details of the new technology are reported in the paper“Physiological Parameter Monitoring from Optical Recordings with a MobilePhone,” published online, in advance of print, by the journal IEEE Transactionson Biomedical Engineering. This app provides patients with great conveniences.Patients don’t need to take extra medical equipments anywhere. They just taketheir iPhones and use the apps to detect their vital sign at all times. One of the advantages of mobile phone monitoring is that it allows patientsto make baseline measurements at any time, building a database that could allowfor improved detection of disease states. This app’s primary developer is Chon who isa specialist in signal processing. He is very famous in his own field forcreating the algorithms that can detect patients’vital signs by utilizing common medical equipments. In order to develop thisapp, he developed and optimized the algorithm to let the app collect the accurate data by iPhone’s built-in camera. As the camera’s light penetrates the skin, it reflects off ofpulsing blood in the finger; the application is able to correlate subtle shiftsin the color of the reflected light with changes in the patient’s vital signs. There are a few colleagues participating this app development includingYitzhak Mendelson, associate professor of biomedicalengineering, Domhnull Granquist-Fraser, assistant professor of biomedicalengineering, and doctoral student Christopher Scully. In order to verify the data accuracy, theyutilize the standard medical devices to detect different kinds of experimentcontents, such as breathing rate, cardiac rate, beating ofthe arteries and blood oxygen. At the same time, a group of people usemobile phone to test the same experiment contents. Whileall devices were recording, the volunteers went through a series of breathingexercises while their vital signs were captured. Subsequent analysis of thedata showed that Chon’s new smart phone monitor was as accurate as thetraditional devices. While this study was done on a Droid, Chon said thetechnology is easily adaptable to most smart phones with an embedded videocamera. In addition to that, Chon has a plan todevelop another iPhone app to monitor atrial fibrillation because ventricular arrhythmiais the most obvious symptom of atrial fibrillation and the app that monitor cardiac rate inspired him. “We are developing that application now, and we have started a preliminary clinicalstudy with colleagues at UMassMedicalSchoolto use the smart phone to detect atrial fibrillation,” Chon said. Thisexcellent app has no iPad version and they are doing their best to develop andoptimize it for iPad. We believe patients can detect beatingof the arteries by iPad in a fewdays. They have applied to patents for this iPhone app. “Imaginea technician in a nursing home who is able to go into a patient’s room, placethe patient’s finger on the camera of a tablet, and in that one step captureall their vital signs,” Chon said. “We believe there are many applications forthis technology, to help patients detectthemselves, and to help clinicians care for their patients.”

iPhone,App,Can,Detect,Cardiac,

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