Abstract
Based on today’s estimation most of the older drivers are likely to get into an accident or collision based on their varying health conditions while driving. Nowadays, middle-age and younger drivers are also facing similar issues. Studies show that drivers who had crashes that have been precipitated by medical emergencies are not related to vehicle design or roadway integrity as indicated by the type of crashes and manner of collisions. Six in ten Americans live with at least one chronic disease like heart disease, stroke and diabetes. In this paper we compare and measure heart rate and heart variability data for arising heart disease and stroke or any emergency condition using electrocardiogram (ECG) and photoplethysmography (PPG) sensors. While driving most of these conditions arise for drivers who are precipitated by chronic conditions, especially the stroke like ischemic stroke and intracerebral hemorrhage stroke. Automakers are trying with methods that involve measuring data via seats sensors and steering wheel sensors, but for measuring sensor data also requires right placement of sensor in the body. In this paper we are implementing a high-resolution proximity sensor with programmable LED current at the ear and electrical change sensor along with electrodes at the chest to measure heart rate and heart rate variability data while driving and compare those results to integrate the data to display in vehicle infotainment to bring in assistance, this data is also stored in the cloud for doctors to monitor the varying conditions while driving.
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