{"id":null,"code":"DTEK2095","name":{"valueFi":"Analytics for Health Wearables","valueEn":"Analytics for Health Wearables","valueSv":"Analytics for Health Wearables"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534716681,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"","valueEn":"After completing the course, the student will have the necessary skills to analyse data recorded by a typical wearable device such as a smart watch or an electrocardiogram patch. The student will learn about the specific properties of biosignals and understand what kind of methods typically work in real-life scenarios. Students will learn how to pre-process biosignals, how to detect peaks for heart and heart rate variability estimation, how to estimate the quality of biosignals and how to detect rhythm disorder. In addition, the students will learn about outlier detection and how to improve detection performance through post processing. At the end of the course, you will be able to analyse biosignal data and build working algorithms for basic, yet important, analysis tasks.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"","valueEn":"During the lectures, you will learn specific properties of biosignals and techniques how to analyse them. Reading material will be provided to recap necessary background information for students with limited signal processing know-how. The course has many weekly programming and analysis exercises that will be discussed during the lectures and solutions of the exercises will be jointly analysed during the lectures. The exercises are done independently.  Basic python programming skills are expected.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"","valueEn":"Accepted exercises","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"","valueEn":"Lectures (28h), reading material (29h) and exercises (70h)","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"","valueEn":"All required material will be provided during the course","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"0-5","valueEn":"0-5","valueSv":"0-5"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Assessment criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Assessment criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Assessment criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kielet","valueEn":"Languages","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":""}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Lääketieteellinen tekniikka ja terveysteknologia","valueEn":"Biomedical Engineering and Health Technology","valueSv":"Biomedical Engineering and Health Technology"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Matti Kaisti","valueEn":"Matti Kaisti","valueSv":"Matti Kaisti"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}