This dissertation aimed to develop a joint protection program for people with shoulder arthritis. The program was developed throughout a two-phase process. The first stage in developing the Shoulder Joint Protection Program for patients with different stages of arthritis focused on comprehending existing research and understanding the factors that influence shoulder joint protection. We considered the priorities and preferences of both patients and therapists, integrating different types of evidence like systematic reviews, narrative and scoping reviews, and analysis of shoulder movement. This evidence guided the creation of a preliminary joint protection program. The second stage assessed the content validity of this program, using cognitive interviews with patients and therapists. The findings from each phase were then presented in separate chapters, providing a complete view of the Shoulder Joint Protection Program (SJPP) for individuals with shoulder arthritis. The evidence presented in Chapters 2 and 3 suggests that no single optimal program has been defined for patients undergoing total shoulder joint replacement surgery, including both anatomical and reversed types. Further high-quality RCTs are needed to provide more conclusive results. To assess outcomes, various patient-reported outcomes have been developed and validated. However, our study, as presented in Chapter 4, reveals inconsistencies and a lack of clarity in the conceptual frameworks of the identified PROMs. Our scoping review in Chapter 5 offers comprehensive research on shoulder biomechanics during various activities, and spotlights potential injury prevention strategies. These identified strategies can guide the creation of training programs, coaching practices, and rehabilitation strategies aimed at minimizing the risk of shoulder injuries and bolstering overall shoulder health. Results from Chapter 6 suggest that participants have the capacity to modify their movement patterns to implement joint protection strategies, potentially beneficial in post-surgery rehabilitation and enhancing shoulder function. The application of motion analysis software tools, such as MediaPipe, has yielded reliable results, indicating their potential for future kinematic studies. The developed SJPP comprises two sections: general joint protection principles and specific protective strategies for daily activities. Both digital resources and a printed version were developed to increase the accessibility of the program. The study (Chapter 7) presents a substantial contribution to the resources for patients with shoulder arthritis. It was designed to enhance their quality of life and enable them to navigate everyday activities with greater ease and less discomfort. Further enhancements, such as the inclusion of content on sports and recreational activities, could make the program even more comprehensive and beneficial. Overall, the study underscores the importance of evidence-based, user-friendly resources for patients with shoulder arthritis and provides potential directions for future research and enhancements, such as including content on sports and recreational activities. The SJPP's ultimate goal is to enhance patients' quality of life, allowing them to perform everyday activities with less discomfort. / Thesis / Doctor of Rehabilitation (RhD) / This Ph.D. research project set out to create a program to help people with shoulder arthritis protect their joints. The development process was broken down into two main stages. In the first step, we looked at what we already know from research and figured out the main things that affect how well someone can protect their shoulder joint. We thought about what patients and therapists want and need. We looked at many different kinds of studies and even how people move their shoulders. All this helped us make a first version of our plan. In the second step, we checked how good our plan was. We did this by talking with patients and therapists. We wrote about everything we found out in different chapters. This gave us a full picture of our Shoulder Joint Protection Program (SJPP) for people with shoulder arthritis. Our final SJPP has two main parts: general rules to protect the joint and special tips for everyday activities. We made it available online and on paper so it's easy to get. Our study is a big help for patients with shoulder arthritis. It's meant to make their lives better and help them do everyday things with less pain. In the future, we might add more tips about sports and fun activities, which could make it even more helpful. In conclusion, our research shows how important it is to have easy-to-use, research-based tools for patients with shoulder arthritis. We've also given some ideas for future research. The main goal of the SJPP is to make patients' lives better, helping them do everyday things with less pain.

Annually, road accidents cause more than 1.2 million deaths, 50 million injuries, and US$ 518 billion of economic cost globally. About 90% of the accidents occur due to human errors such as bad awareness, distraction, drowsiness, low training, fatigue etc. These human errors can be minimized by using advanced driver assistance system (ADAS) which actively monitors the driving environment and alerts a driver to the forthcoming danger, for example adaptive cruise control, blind spot detection, parking assistance, forward collision warning, lane departure warning, driver drowsiness detection, and traffic sign recognition etc. Unfortunately, these systems are provided only with modern luxury cars because they are very expensive due to numerous sensors employed. Therefore, camera-based ADAS are being seen as an alternative because a camera has much lower cost, higher availability, can be used for multiple applications and ability to integrate with other systems. Aiming at developing a camera-based ADAS, we have performed an ethnographic study of drivers in order to find what information about the surroundings could be helpful for drivers to avoid accidents. Our study shows that information on speed, distance, relative position, direction, and size & type of the nearby vehicles & other objects would be useful for drivers, and sufficient for implementing most of the ADAS functions. After considering available technologies such as radar, sonar, lidar, GPS, and video-based analysis, we conclude that video-based analysis is the fittest technology that provides all the essential support required for implementing ADAS functions at very low cost. Finally, we have proposed a Smart-Dashboard system that puts technologies – such as camera, digital image processor, and thin display – into a smart system to offer all advanced driver assistance functions. A basic prototype, demonstrating three functions only, is implemented in order to show that a full-fledged camera-based ADAS can be implemented using MATLAB. / Phone# 00966-56-00-56-471