Methods: The studies in the thesis involved both qualitative and quantitative research methods.
Perceptions regarding the use of wearable technology in disease monitoring and management as reported by individuals with epilepsy and PD as well as health professionals working with these patient groups were explored using focus group discussions (Paper I).
The aim is to measure the time-varying amount of ice and condensation in the air chiller in normal cooling or defrosting mode.
Also the effect on the change of center of gravity (2D) of the air cooler will be analyzed.
Wearable sensors showed a high sensitivity and a low false positive rate in detecting tonic-clonic seizures in epilepsy (Paper II).
Wearable sensors are useful for automated quantification of PD motor states using instrumental testing as well as passive monitoring (Paper III-IV).
Acta Neurologica Scandinavica 2018; 137(2):188-194. Tonic-clonic seizure detection using accelerometry-based wearable sensors – A prospective, video-EEG controlled study. Evaluation of a sensor algorithm for motor state rating in Parkinson’s disease.
Parkinsonism & Related Disorders 2019; Epub March 26. Johansson D, Ericsson A, Johansson A, Medvedev A, Nyholm D, Ohlsson F, Senek M, Spira J, Thomas I, Westin J, Bergquist F.
Wrist-worn sensors were used to detect tonic-clonic seizures in epilepsy (Paper II) and to quantify motor levodopa responses in PD (Paper III).
The effects of individual dose adjustment based on information derived from wearable sensors were further investigated (Paper IV).