{"id":58331,"date":"2020-12-11T03:00:22","date_gmt":"2020-12-11T02:00:22","guid":{"rendered":"https:\/\/www.cde.ual.es\/?p=58331"},"modified":"2021-11-05T14:27:13","modified_gmt":"2021-11-05T13:27:13","slug":"postdoc-position-wearable-sensors-for-detecting-cardiac-arrest-in-canada","status":"publish","type":"post","link":"https:\/\/www.cde.ual.es\/en\/postdoc-position-wearable-sensors-for-detecting-cardiac-arrest-in-canada\/","title":{"rendered":"Postdoc Position – Wearable Sensors for Detecting Cardiac Arrest in Canada"},"content":{"rendered":"
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\"Postdoc<\/a><\/p>\n<\/div>\n

Description<\/h3>\n

This project is an interdisciplinary effort led by Dr. Brian Grunau UBC Department of Emergency Medicine, Dr. Calvin Kuo UBC School of Biomedical Engineering and Dr. Babak Shadgan UBC Department of Orthopaedics. The project is also in partnership with Centre for Health Evaluation and Outcome Sciences (CH\u00c9OS). This position will\u00a0 be funded in part by a Mitacs Accelerate Grant.<\/p>\n

Sudden cardiac arrest is an under-appreciated health crisis in Canada.\u00a0 Every year Emergency Medical Services (EMS) respond to an estimated 38,000 Canadians experiencing sudden cardiac arrest (SCA). However, even in the best systems, only 5%\u20127% of SCA cases with an EMS response survive to return home.\u00a0 When a citizen collapses from SCA, it must be recognized before anyone can call 911 or bystanders can start CPR. In more than 75% of all SCAs, no one is there to witness the event, so it may be minutes, hours or even days before the emergency is identified. \u00a0\u00a0Technology could be harnessed to address these substantial losses to life due to private location cardiac arrests, which occur to approximately 28,000 Canadians per year.<\/p>\n

This project aims to develop engineered sensor strategies to specifically detect Sudden Cardiac Arrest and automatically call 9-1-1 with GPS coordinates.\u00a0 This will eliminate unwitnessed (initially unrecognized) events and will increase the chance of survival in the current treated but \u201cunwitnessed\u201d group from 4% to an estimated 17%. \u00a0As cases would not immediately be deemed futile due to prolonged periods until recognition, sensors could double the number of patients actually treated by paramedics. This could increase the number of cardiac arrest survivors nationally from 2100 to 5500 per year.<\/p>\n

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Requirements<\/h3>\n<\/div>\n
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Candidates should have a Ph.D. in Biomedical Engineering, Electrical Engineering, or other related fields. Ideal candidates should have experience working with wearable or implantable sensors designed to measure health information and analyzing sensor data to predict health states. Qualified individuals will have the following experience and skills:<\/p>\n