Medicinedoseage with AI

Sammanfattning: Parkinson’s disease(PD) is a neurodegenerative disease that mainly affects the motor system. These symptoms can be treated temporarily with medicine,but it’s difficult to determine the right dosage. The goal was to use sensorsthat could measure the symptoms of PD and thus be able to give an objec-tive rating of the disease as a basis to determine the correct medicine dosage.Coincidentally with A.I and modern devices we can make it more exciting byusing mobile device games to generate the bulk of the information for whatdoctors need to give out correct medication guidelines without guidance fromthe engineers. Processing past research papers and data sets of use is im-portant to use adequate methodology and A.I tools to generate the expectedresult. Innately using a system that could measure Accelerometer-data andeasily log this data into MatLab to be processed. The system would also needto be used in similar ways by multiple patients so that the results could becompared to each other. The patients that would use this system would alsoneed to willingly use this multiple times a day, so it could not be tiresome touse it at a daily basis. Main programming language used was MATLAB and with its’ internal intelligent system tools namely ML toolbox, you can gen-erate machine learning system. The smartphone solution satisfied all of theprerequisites and would prove to be a viable choice with its strength in its ac-cessibility and ease of use. The group with imitated symptoms while playingthe game gave similar results as preceding research papers that was measuredon real PD patients, so from the results this solution has the possibility tobe used by patients and neurologists to asses the correct PD treatment withmedicine. Despite sudden impedance from the hospital and current Covid-19situation this is a field that can be further studied in the future.