Personal Medical Assistant

A set of sensors and an App that warn you before something bad happens.

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Many people are struggling with diseases that make everyday life difficult and challenging. At every second they can be a victim to heart/epilepsy/narcolepsy attack that can occur in a moment during which a fall could result in injury. Personal Medical Assistant (or PMA for short) is a smartphone application which monitors bodily functions through a set of low-power wireless sensors. A signal processing algorithm looks for anomalies in an activity of vital organs that occur before serious, life or health threatening conditions like cardiac arrest, seizures, diabetic coma, etc. When an anomaly is detected, an alarm is triggered to warn the user and give him time to prevent or at least prepare for an upcoming attack.

P.S. Let me apologize for my English. It's not my native language and this project requires me to use many technical and medical terms so it's even more difficult to write descriptions and logs.

So far my project predicts 4 kinds of sensors:

  • ECG chest band for monitoring heart
  • EEG in a form of a headband or a hat
  • Pulse and Oxygen sensor in a watch
  • Glucose meter

Features of the PMA App:

  • warning user about an upcoming health threatening condition
  • sending information about current health state and alarms to family members or friends along with GPS location
  • calling emergency services
  • sounding a loud alarm to attract attention of other people
  • displaying first aid instructions
  • allowing remote diagnosis
  • monitoring general health condition and detecting hidden diseases (ex. Atrial fibrillation)
  • detecting a fall by analyzing accelerometer data
  • displaying health condition and diseases that user suffers from to paramedics

  • A delay

    Daniel Dmitrzak04/13/2015 at 18:28 0 comments

    My project drew much more attention than I expected. Thanks to everyone who is following PMA or gave it a skull. Also a big "Thank you" for awarding it with a prize in "Aging in Place" category. I can't express how encouraging and motivating it is for me.

    Unfortunately, due to lack of time, not much was done to bring it closer to the reality since last update. My Final Exams start in two weeks and I'm very busy studying, filing papers and applications, looking for scholarships and accommodation, etc. Don't worry though. Some research is still being done. I've found terabytes of EEG data and information about algorithms which can predict epileptic seizures with about 86% accuracy. I'm hoping to incorporate them into my project.

    Sorry for a delay and thanks in advance for understanding.

  • Research

    Daniel Dmitrzak03/11/2015 at 18:58 0 comments

    Making a list of chronic diseases which manifest randomly (ex. epilepsy) and finding ways to predict attacks.

    Atrial fibrillation as an example

    [ From wikipedia ]
    Atrial fibrillation (AF or A-fib) is an abnormal heart rhythm characterized by rapid and irregular beating.[1] Often it starts as brief periods of abnormal beating which become longer and possibly constant over time.[2] Most episodes have no symptoms.[3] Occasionally there may be heart palpitations, fainting, shortness of breath, or chest pain.[4] The disease increases the risk of heart failure, dementia, and stroke.[3] In atrial fibrillation the P waves, which represent depolarization of the top of the heart, are absent.

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