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ALS Monitoring and Analysis System 26/3/2015 IATI MNC 3 rd Weekathon Demo Igor Shishkin, Moshe Taieb, Ran Mizrachi, Limor Lahiani, Nir Levy, Lilach Tesler.

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Presentation on theme: "ALS Monitoring and Analysis System 26/3/2015 IATI MNC 3 rd Weekathon Demo Igor Shishkin, Moshe Taieb, Ran Mizrachi, Limor Lahiani, Nir Levy, Lilach Tesler."— Presentation transcript:

1 ALS Monitoring and Analysis System 26/3/2015 IATI MNC 3 rd Weekathon Demo Igor Shishkin, Moshe Taieb, Ran Mizrachi, Limor Lahiani, Nir Levy, Lilach Tesler and Hezi Shahmon

2 Amyotrophic lateral sclerosis (ALS) ●Neurodegenerative disease that affects nerve cells in the brain and the spinal cord. ●Targets and kills motor neurons. ●Paralyzing and eventually leading to death.

3 ALS Research ●No cure to the disease. ●A Single drugs that prolong the patient life by several months. ●Variable disease ●There is not enough data for scientific research

4 Project Goals Introduce new ways for motoric data collection: ●Rough motoric data collection Using IMU sensors located on the smartphone, shoes and others located around the waist or chest. The wearable sensors are connected wirelessly (BLE) to the patient smartphone. ●Stored in the cloud for analysis and research ●Web UI for patient data visualisation

5 The wearable IMU Sensor For ALS Monitoring System

6 Today’s Medical Monitoring ●Patients are asked to answer a questionnaire. ●Doctors diagnose physical stage by observation and questioning: does not reflect the objective status of the patient.

7 Demo

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9 Measurable KPIs ●We assume that each KPI is weekly. More granular KPIs can be obtained but are left for further research ●Measured KPIs o Covered distance / movement - measured in the phone o Number of falls - measured by the chest sensor o Number of weekly leg steps - measured by the leg sensor o Average leg movement vector - measured by the leg sensor o Average leg polar angle - measured by the leg sensor o Average azimuthal leg angle - measured by the leg sensor

10 Thank you IATI Weakaton 2015

11 SAP and Prize4Life have developed a System with a smartphone APP that allows the patients to: ●Answer questions about his/her situation ●Test delicate motor capabilities ●Record speech for offline analysis


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