[{"title":{"valueFi":"Kuvaus","valueEn":"Description","valueSv":""},"content":{"valueEn":"Health technology focuses on clinical and well-being-measuring medical systems, including the signal processing required by applications, programming expertise, machine learning based data analytics, and Internet-of-things. Applications include, for example, wellness and health applications, as well as medical diagnostic and remote monitoring solutions. Health technology is a rapidly growing sector in the future that will become increasingly important as the population ages. Technology solutions provide better care for patients, help for professionals, productivity for healthcare and well-being. Health technology is also a growing high-tech export sector, which brings export revenues to Finland to increase well-being.\r\n\r\nThe employment percentage of those holding an M.Sc.(Tech.) degree is high in Finland. Health technology related industry is increasingly important globally, and Finland is a forerunner in this area. Fields of health technology are expanding fast, offering a wide range of exciting career opportunities. In addition to companies that are focused on wellness, medical or biomedical analytical solutions, this includes industries that are utilizing health technology in their products such as sports performance tracking devices and applications built on analyzing such data. For the entrepreneurially minded, health technology is an area with great potential for future start-ups. There are also possibilities to work in research, education, or consulting, or even continue studies towards a PhD degree.\r\n\r\nFuture technologies and digital society, and health, diagnostics and drug development are central strategic themes at University of Turku. Health technology education and research support these teams, and provide skills that allow developing computational AI based methods for wider and more efficient usage of health data. The degree programme is organized with ecological and economic sustainability in mind, targeting eco-efficient solutions and minimal material consumption by means of for example online teaching, e-learning materials, electronic exams and virtual laboratory environments.","valueFi":"Health technology focuses on clinical and well-being-measuring medical systems, including signal processing required by applications, programming expertise, machine learning based data analytics, and Internet-of-Things. Applications include, for example, wellness and health applications, as well as medical diagnostics and remote monitoring solutions. Health technology is a rapidly growing sector that in the future will become increasingly important as the population ages. Technology solutions provide better care for patients, help for professionals, productivity for healthcare and well-being. Health technology is also a growing high-tech export sector, which brings export revenues to Finland to increase well-being.\r\n\r\nThe employment percentage of those holding an M.Sc. (Tech.) degree is high in Finland. Health technology related industry is increasingly important globally, and Finland is a forerunner in this area. Fields of health technology are expanding fast, offering a wide range of exciting career opportunities. In addition to companies that are focused on wellness, medical or biomedical analytical solutions, this includes industries that are utilizing health technology in their products such as sports performance tracking devices and applications based upon analysis of such data. For the entrepreneurially minded, health technology is an area with great potential for future start-ups. There are also possibilities to work in research, education, or consulting, or even continue studies towards a PhD degree.\r\n\r\nFuture technologies and digital society, as well as health, diagnostics and drug development are central strategic themes at University of Turku. Health technology education and research support these teams and provide skills that allow developing computational AI based methods for wider and more efficient usage of health data. The degree programme is organised with ecological and economic sustainability in mind, targeting eco-efficient solutions and minimal material consumption by means of for example online teaching, e-learning materials, digital exams and virtual laboratory environments.","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueEn":"","valueFi":"","valueSv":""}},{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Objective","valueSv":""},"content":{"valueEn":"**The student will obtain the following technical proficiencies:**\r\n* Understands the principles and limitations of using machine learning and AI approaches for analysing biosignals and health data\r\n* Has knowledge of how the sensor technology and information technology can be exploited in the healthcare sector.\r\n* Is able to select and apply suitable data analytics and signal processing methods for different types of biosignals\r\n* Has knowledge of the principles of embedded programming in medical applications and is able to apply this knowledge for example by building simple medical embedded sensor systems and interfacing them with smartphone\r\n* Has knowledge of medical measurement systems and has ability to implement sensor systems for measuring medically relevant signals such as heart rate and EKG, respiration rate, movement and blood oxygen saturation level.\r\n* Has ability to design evaluation protocols for validating machine learning models on data having complex dependencies, which are commonly encountered in health applications.","valueFi":"**The student will obtain the following technical proficiencies:**\r\n* Understands the principles and limitations of using machine learning and AI approaches for analysing biosignals and health data\r\n* Has knowledge of how the sensor technology and information technology can be exploited in the healthcare sector.\r\n* Is able to select and apply suitable data analytics and signal processing methods for different types of biosignals\r\n* Has knowledge of the principles of embedded programming in medical applications and is able to apply this knowledge for example by building simple medical embedded sensor systems and interfacing them with smartphone\r\n* Has knowledge of medical measurement systems and has ability to implement sensor systems for measuring medically relevant signals such as heart rate and EKG, respiration rate, movement and blood oxygen saturation level.\r\n* Has ability to design evaluation protocols for validating machine learning models on data having complex dependencies, which are commonly encountered in health applications.","valueSv":""}}]