{"id":13807,"date":"2019-02-06T14:42:32","date_gmt":"2019-02-06T13:42:32","guid":{"rendered":"https:\/\/www.cosinuss.com\/?post_type=avada_portfolio&p=13807"},"modified":"2021-02-27T08:37:47","modified_gmt":"2021-02-27T07:37:47","slug":"work-safety-in-changing-temperature-conditions","status":"publish","type":"avada_portfolio","link":"https:\/\/www.cosinuss.com\/en\/portfolio-items\/work-safety-in-changing-temperature-conditions\/","title":{"rendered":"Work Safety in changing temperature conditions"},"content":{"rendered":"

Improving Work Safety.<\/strong> That is our goal we are striving to reach together with one of the world\u2018s leading risk management organisations. The employees need to frequently switch their working location from full conditioned office rooms at 18\u00b0 C to outdoor locations in direct sunlight in the United Arab Emirates, with temperatures up to 40\u00b0 C. These conditions are contributing to a physically and mentally stressful work day. People working in such conditions need a strong adaptive capacity. Cosinuss\u00b0 is now helping these employees to monitor their level of Fatigue and Physical Stress\u00a0Index in order to prevent possible serious accidents and long term harm. In our corporate pilot study we are validating how cosinuss\u00b0 wearables and analytics can be used in this demanding setting and how accurately parameters like the Fatigue Score and Physiological Strain Index (PSI) can be monitored during work. This evaluation study has a high importance because in the long run, a monitoring routine will reduce the risk of dangerous situations caused by a state of exhaustion.<\/p>\n<\/div>

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Goals<\/h1><\/div>

For this study, ten selected employees were equipped with the cosinuss\u00b0 One in-ear sensor and the cosinuss\u00b0 LabApp on their smartphone. They monitored their heart rate, heart rate variability (RR-intervalls) and body temperature<\/a> continuously during an average working day focusing on the usability, especially during location changes. The data was automatically transmitted from their smartphones to a pseudonymised account on the cosinuss\u00b0 cloud server and then further analyzed. Using the heart rate and body temperatur\u00a0 values the unique algorithms calculated the Physiological Strain Index (PSI). Additionally, the heart rate variability (HRV) was calculated as well and used to generate a fatigue score. A continuous tracking of these parameters during a whole day generates a database from which signs of low physical and mental working ability can be recorded and in future even prevented.<\/p>\n<\/div>