Sport-related Traumatic Brain injuries (TBI) are a major problem in ice hockey. Reports show that it occurs 160 concussion per 1000 hours of play time and 4.6% of head injuries leads to a concussion in Sweden. A system that can monitor the players in real time and indicate an impact can contribute to better understanding the biomechanical etiology of a concussion. Purpose of this project is to test the ability of a wireless sensor network for monitoring the g-Forces that affect the head of the ice hockey players in real-time. We build a wireless sensor network system called g-Force Monitoring System (GFMS) by implementing a Web Socket connection between the sensor nodes and the server. The sensor measures and transmits the data over the Web Socket protocol to the server and the server registers and allows monitoring of the g-Force values in real-time. We achieved a 6 ms sampling rate by using the g-Force Monitoring System. The system was able to operate during one hour play time without any significant problem. The stored data shows that the GFMS has an ability to indicate impact and its duration over a predefined threshold. The user of the system can monitor the g-Force data in real time or can do analyzes on stored values. The GFMS can deliver valuable indications. If the system can come to existence and be implemented into the ice hockey helmets, by letting medical experts to look at and analyze the g-Force data, it can decrease the diagnosis and recovery time of a concussion. It can help to make the Ice hockey arena to a safer place without having to change the rhythm of the game.

<p dir="ltr"><a href="" target="_blank">ABSTRACT</a></p><p dir="ltr">A literature review was conducted, to determine and gain a better understanding of the environmental, technological, physiological, and psychological issues that lone agricultural workers potentially face in the event they are involved in an emergency. An investigation was conducted of communication devices used in other industries where working alone was common, to monitor for and detect incident occurrences. An assessment of currently available emergency alert software and sensing technology for <a href="" target="_blank">communication </a><a href="#_msocom_1" target="_blank">[AE1]</a> devices was also undertaken in this review.</p><p dir="ltr">Three hundred and sixty-eight U.S. cases of fatalities or injuries were analyzed in which working alone was identified as a contributing factor. Cases included lone agricultural workers, between the ages 15-64, who were identified from a convenient sample of incident reports from <a href="" target="_blank">2016-2021</a><a href="#_msocom_2" target="_blank">[AE2]</a> . Of the 368 lone agricultural worker incidents analyzed, 38% (140) were caused by tractor rollover or tractor runover, and ATV/ UTV rollovers. Grain bin entrapments accounted for 13% (48) of all identified cases, of which 86% (42) were fatal. Thirty-three percent (121) of the identified incidents involved equipment roll over (not including runovers), and 50% of identified victims, when age was known, were 57 years of age or older. In 11 cases (3%), the victim was under 15 years old and active in agricultural-related tasks at the time of incident occurrence.</p><p dir="ltr">Geospatial Information Systems (GIS) tools were used to identify the proximity of Emergency Medical Service (EMS) facilities and cellular towers from a convenient sample of 29 fatal and serious agricultural related injuries from 2016-2021, occurring in the state of Indiana. This analysis found that there were substantially fewer EMS facilities within close proximity to documented rural incident locations compared to injuries or fatalities occurring closer to a populated area. There were also fewer cellular towers within close proximity of incidents located primarily on or near rural agricultural land. More densely populated areas tended to have a greater density of EMS and cellular tower locations, with, most likely, more favorable outcomes from injuries due to shorter <a href="" target="_blank">response times.</a><a href="#_msocom_3" target="_blank">[AE3]</a></p><p dir="ltr">An investigation of the physical and operational impact that agricultural equipment would have on the efficacy of commercially available wearable technologies was undertaken, to detect the potential injury-causing agricultural incident. Five experiments were conducted to test the feasibility of these selected wearable devices in detecting agricultural-related incidents with the potential of causing serious injuries. Only one <a href="" target="_blank">simulated agricultural incident</a> <a href="#_msocom_4" target="_blank">[AE4]</a> successfully triggered incident detection. <a href="" target="_blank">Incidents successfully triggered incident detection on one wearable device, the Garmin Vivoactive 4 smartwatch. </a><a href="#_msocom_5" target="_blank">[AE5]</a></p><p dir="ltr">Recommendations included greater emphasis on the hazards associated with lone workers assigned agricultural workplaces, development of new, evidence-based educational resources to incorporate in current prevention strategies directed at farmers, ranchers, and agricultural workers, enhanced supervision of young agricultural workers and compliance with existing child labor regulations, equipping lone workers with appropriate cellphones and/ or wearable technologies to be carried in their vehicles, agricultural equipment, or on their person, use of electronic surveillance or monitoring equipment, written policies and procedures that enhance awareness of worker locations and conditions on a regular basis, and adherence to existing federal and state workplace safety and health regulations related to lone workers.</p><p><br></p><p dir="ltr"><a href="#_msoanchor_1" target="_blank">[AE1]</a>Changed</p><p dir="ltr"><a href="#_msoanchor_2" target="_blank">[AE2]</a>Fixed</p><p dir="ltr"><a href="#_msoanchor_3" target="_blank">[AE3]</a>I’m not sure how to address that more rural people are dying, given the limited scope and criteria for selection of the incidents selected in this study.</p><p dir="ltr"><a href="#_msoanchor_4" target="_blank">[AE4]</a>Not sure if this Is the best way to say it. I may end up cutting this part. I’ll pair the abstract down to ~250 words. For whatever reason, I thought the intro chapter abstract needed to be longer for a dissertation.</p><p dir="ltr"><a href="#_msoanchor_5" target="_blank">[AE5]</a>Shortened this paragraph and removed unnecessary detail, for clarity.</p>