ApplySci – Deep Tech Health + Neurotech

Category: mHealth

  • Home medical device data uploaded to EHRs; patient participation encourages behavior modification

    http://www.bostonglobe.com/lifestyle/health-wellness/2013/07/28/century-house-call/tdupWvOQI6b3dKdKcEgdGM/story.html Boston’s Partners HealthCare has launched a system that allows patients to upload information from their medical devices directly to their electronic records in doctors’ offices.  Patients can regularly use glucometers, blood pressure cuffs, bathroom scales, and pulse oximeters at home, and send the data to their doctors.  Doctors are also becoming increasingly interested in…

  • Contact lens continuously monitors intra-ocular pressure

    http://www.sensimed.ch/en/products/sensimed-triggerfishr.html The Sensimed Triggerfish combines a non-invasive wireless soft contact lens sensor with an automated system for recording IOP related patterns for up to 24 hours. The ambulatory patient wears the device during normal activity, including sleeping.  At the end of the session, the data is transferred from the recorder to an ophthalmologist’s computer for analysis…

  • Tooth sensor monitors health

    http://mll.csie.ntu.edu.tw/papers/TeethProbeISWC.pdf National Taiwan University researchers have created a tooth-based sensor, accelerometer, and associated machine learning software to detect and distinguish between chewing, smoking, coughing, or speaking.  The capability to monitor mouth motions may help physicians keep track of patient progress or allow a patient to better understand his/her health habits.  Working prototypes of the tooth…

  • uChek crowdfunds smartphone urine analysis system

    http://uchek.in Biosense’s uChek is crowdfunding its urine analysis system.  It is a free app for iPhone users that can interpret color changes on urine analysis test strips with a smartphone camera. uChek can be used for semi-quantitative and qualitative detection of leukocytes, ketone, nitrite, urobilinogen, bilirubin, protein, specific gravity and pH. Test results may provide information…

  • Stethoscope add-on improves patient assessment and diagnosis

    http://rijuven.com/cardiosleeve.html CardioSleeve, when attached to a stethoscope, records, displays and analyzes electrical and acoustical footprints of the heart in real time via any wirelessly connected portable device.    The data can be stored in the cloud or uploaded into an EHR.

  • Smartphone diagnostic and cloud platform make eye care accessible

    http://eyenetra.com/netra-g.html Vinod Khosla and others have invested in MIT Media Lab’s EyeNetra, a smartphone attachment that claims to diagnose nearsightedness, farsightedness and astigmatism.  The device is positioned as a less bulky alternative to the Shack-Hartmann Wavefront sensor.  A $2 eyepiece is clipped onto a phone.  The user then clicks to align the displayed patterns.  The number of…

  • Sports sensors warn of head injury

    http://www.nytimes.com/2013/06/16/business/a-wearable-alert-to-head-injuries-in-sports.html?_r=0 The New York Times reports on the growing trend of sensor based protection/early warning systems for athletes. The devices, packed with sensors and microprocessors, register a blow to a player’s skull and immediately signal the news by blinking brightly, or by sending a wireless alert.  Algorithms evaluate the impact and determine severity.  

  • Emotionally reactive avatars treat patients at home

    http://www.technologyreview.com/news/514881/the-avatar-will-see-you-now/ Remote monitoring systems are increasing able to capture a patient’s state of mind and body. Using Sense.ly’s platform, patients can communicate their condition to an emotionally reactive avatar through their phone, desktop, or TV. The avatar asks the patient simple questions, and if programmed by a doctor, it can also answer questions—such as what…

  • mHealth timeline, 2009 – 2013

    http://mobihealthnews.com/22674/timeline-smartphone-enabled-health-devices/ Sensors are becoming smaller, smarter, and more ubiquitous,  and have transformed the way we monitor our health.  Attached is a timeline of health and fitness apps from 2009 through today, providing an interesting look at the development of the mHealth market.

  • Mobile phone microphones as health sensors

    http://www.economist.com/news/technology-quarterly/21578518-sensor-technology-microphones-are-designed-capture-sound-they-turn-out The Economist’s Technology Quarterly describes how mobile phone microphones are being used as versatile sensors with myriad health applications.  Examples follow: 1. Professor Tanzeem Choudhury of Cornell has created StressSense to capture and analyze voice characteristics such as amplitude and frequency. Her team concluded that “it is feasible to implement a computationally demanding stress-classification system…

  • Smartphone as handheld biosensor

    http://news.illinois.edu/news/13/0523iphone_biosensor_BrianCunningham.html University of Illinois researchers have developed an iPhone cradle and app that uses its camera and processing power as a biosensor to detect toxins, proteins, bacteria, viruses and other molecules.    Professor Brian Cunningham, the team’s leader, discussed healthcare applications:  “A lot of medical conditions might be monitored very inexpensively and non-invasively using mobile platforms…

  • Computer vision algorithms used to diagnose depression

    http://medvr.ict.usc.edu/projects/dcaps/ SimSensei software, developed by Stefan Scherer and colleagues at the University of Southern California, combines computer vision algorithms and the psychological model of depression. An on-screen psychologist asks you a series of questions and watches how you physically respond. Using Kinect, the computer vision algorithms build up a very detailed model of your face…