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Mobile phone sensors in health applications. Evgeny Stankevich , Llya Paramonov , Ivan Tomofeev Demidov Yaroslavl State University. Presented By Brian K. Gervais. Abstract. By 2015 the WHOLE WORLD will be covered by Cellular networks ½ population will use a mobile phone GSM Wifi
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Mobile phone sensors in health applications EvgenyStankevich, LlyaParamonov, Ivan Tomofeev Demidov Yaroslavl State University Presented By Brian K. Gervais
Abstract By 2015 the WHOLE WORLD will be covered by Cellular networks ½ population will use a mobile phone GSM Wifi Bluetooth mHealth- “Practical medicine and healthcare services supported by mobile devices” Growing Fast
Abstract mHealth apps increase availability of healthcare solutions App Store, Google Play, Ovi Store Modern phone equipped with powerful embedded sensors Microphone Accelerometers Camera Light sensors
Mobile Phone sensors Two Categories Environment Microphone, camera Position Accelerometers, digital compass, gyroscope, and GPS
Mobile Phone sensors Microphone Used to determine activity Speaking, café visiting, car driving Light sensor Measures ambient light Proximity Sensor detects presence of nearby objects Accelerometers and magnetometers Phone orientation has been applied to games Gyroscope/GPS – used for navigation
mHealth How are these sensors used for healthcare apps Microphone Communication Disease and epidemic outbreak tracking Diagnosis and treatment support Myotonia disorder Patients called automated voice to classify symptoms. If needed they would be referred to doctor Reduces unnecessary doctors visits Decreasing healthcare cost
Mhealth Camera Provide images and video for remote doctor consultation. Teledermatology- is where patient skin images are used by doctors to make diagnosis ClickMedix Patient registers and receives training on proper photos Photos sent to data collection server and doctor prescribes treatment Good for developing countries Lack of access Lack of funds Lack of medical resources
mhealth Camera Telconsultation and diagnosis of soft tissue injuries Detect heart rate using skin color analysis Instant Heart Rate application- IOS/Android Digital filter to detect heart rate by analyzing video of face (pulse oximeters) Cardiio application- IOS These do not require extra equipment Cheap readily available
mhealth Cameraw/additional equipment Create light microscope Uses the phone camera Researchers determine that modern camera phones have sufficient resolution to detect blood cells and microorganism morphology. Such system cheap and portable and can detect TB Operators do not have to be well trained Images fed to doctors at separate locations
Accelerometer Sensor and Geo. Track persons physical activity level Reduce risk of many chronic diseases Goes beyond pedometers No need for additional device Through analyzing the data you can determine Walking/Biking/Running Give calorie count and provide feedback to the patient
Accelerometer Sensor and Geo. Fall detection Brickhouse- current solution Requires base station and only works at that location Phone could do all that and more Measure whether fall has occurred Alert authorities Give them an accurate location No need for external devices
Accelerometer Sensor and Geo. Rehabilitation m-Physio Reduces need to go to rehabilitation center Patients first sessions are used to train sensors and patient Phone then used to tell patient/Doctor Duration/Quality of exercisesfrom home
Conclusion Overall theme- reduce cost and increase access to healthcare Phones are out there use them to do more than Facebook These purposed apps and the future apps will greatly increase health in poor countries where access to medical treatment is minimal