First-principle data-driven models for assessment of motor disorders in Parkinson’s disease

Parkinson’s disease (PD) is an increasing neurological disorder in an aging society. The motor and non-motor symptoms of PD advance with the disease progression and occur in varying frequency and duration. In order to affirm the full extent of a patient’s condition, repeated assessments are necessary to adjust medical prescription. In clinical studies, symptoms are assessed using the unified Parkinson’s disease rating scale (UPDRS). On one hand, the subjective rating using UPDRS relies on clinical expertise. On the other hand, it requires the physical presence of patients in clinics which implies high logistical costs. Another limitation of clinical assessment is that the observation in hospital may not accurately represent a patient’s situation at home. For such reasons, the practical frequency of tracking PD symptoms may under-represent the true time scale of PD fluctuations and may result in an overall inaccurate assessment. Current technologies for at-home PD treatment are based on data-driven approaches for which the interpretation and reproduction of results are problematic.  The overall objective of this thesis is to develop and evaluate unobtrusive computer methods for enabling remote monitoring of patients with PD. It investigates first-principle data-driven model based novel signal and image processing techniques for extraction of clinically useful information from audio recordings of speech (in texts read aloud) and video recordings of gait and finger-tapping motor examinations. The aim is to map between PD symptoms severities estimated using novel computer methods and the clinical ratings based on UPDRS part-III (motor examination). A web-based test battery system consisting of self-assessment of symptoms and motor function tests was previously constructed for a touch screen mobile device. A comprehensive speech framework has been developed for this device to analyze text-dependent running speech by: (1) extracting novel signal features that are able to represent PD deficits in each individual component of the speech system, (2) mapping between clinical ratings and feature estimates of speech symptom severity, and (3) classifying between UPDRS part-III severity levels using speech features and statistical machine learning tools. A novel speech processing method called cepstral separation difference showed stronger ability to classify between speech symptom severities as compared to existing features of PD speech. In the case of finger tapping, the recorded videos of rapid finger tapping examination were processed using a novel computer-vision (CV) algorithm that extracts symptom information from video-based tapping signals using motion analysis of the index-finger which incorporates a face detection module for signal calibration. This algorithm was able to discriminate between UPDRS part III severity levels of finger tapping with high classification rates. Further analysis was performed on novel CV based gait features constructed using a standard human model to discriminate between a healthy gait and a Parkinsonian gait. The findings of this study suggest that the symptom severity levels in PD can be discriminated with high accuracies by involving a combination of first-principle (features) and data-driven (classification) approaches. The processing of audio and video recordings on one hand allows remote monitoring of speech, gait and finger-tapping examinations by the clinical staff. On the other hand, the first-principles approach eases the understanding of symptom estimates for clinicians. We have demonstrated that the selected features of speech, gait and finger tapping were able to discriminate between symptom severity levels, as well as, between healthy controls and PD patients with high classification rates. The findings support suitability of these methods to be used as decision support tools in the context of PD assessment.

Mobile systems for monitoring Parkinson's disease

A challenge for the clinical management of Parkinson's disease (PD) is the large within- and between-patient variability in symptom profiles as well as the emergence of motor complications which represent a significant source of disability in patients. This thesis deals with the development and evaluation of methods and systems for supporting the management of PD by using repeated measures, consisting of subjective assessments of symptoms and objective assessments of motor function through fine motor tests (spirography and tapping), collected by means of a telemetry touch screen device. One aim of the thesis was to develop methods for objective quantification and analysis of the severity of motor impairments being represented in spiral drawings and tapping results. This was accomplished by first quantifying the digitized movement data with time series analysis and then using them in data-driven modelling for automating the process of assessment of symptom severity. The objective measures were then analysed with respect to subjective assessments of motor conditions. Another aim was to develop a method for providing comparable information content as clinical rating scales by combining subjective and objective measures into composite scores, using time series analysis and data-driven methods. The scores represent six symptom dimensions and an overall test score for reflecting the global health condition of the patient. In addition, the thesis presents the development of a web-based system for providing a visual representation of symptoms over time allowing clinicians to remotely monitor the symptom profiles of their patients. The quality of the methods was assessed by reporting different metrics of validity, reliability and sensitivity to treatment interventions and natural PD progression over time. Results from two studies demonstrated that the methods developed for the fine motor tests had good metrics indicating that they are appropriate to quantitatively and objectively assess the severity of motor impairments of PD patients. The fine motor tests captured different symptoms; spiral drawing impairment and tapping accuracy related to dyskinesias (involuntary movements) whereas tapping speed related to bradykinesia (slowness of movements). A longitudinal data analysis indicated that the six symptom dimensions and the overall test score contained important elements of information of the clinical scales and can be used to measure effects of PD treatment interventions and disease progression. A usability evaluation of the web-based system showed that the information presented in the system was comparable to qualitative clinical observations and the system was recognized as a tool that will assist in the management of patients.

Adolescent boys’ health : managing emotions, masculinities and subjective social status

The health of adolescent boys is complex and surprisingly little is known about how adolescent boys perceive, conceptualise and experience their health. Thus, the overall aim of this thesis was to explore adolescent boys’ perceptions and experiences of health, emotions, masculinity and subjective social status (SSS). This thesis consists of a qualitative, a quantitative and a mixed methods study. The qualitative study aimed to explore how adolescent boys understand the concept of health and what they find important for its achievement. Furthermore, the adolescent boys’ views of masculinity, emotion management and their potential effects on wellbeing were explored. For this purpose, individual interviews were conducted with 33 adolescent boys aged 16-17 years. The quantitative study aimed to investigate the associations between pride, shame and health in adolescence. Data were collected through a cross-sectional postal survey with 705 adolescents. The purpose of the mixed methods study was to investigate associations between SSS in school, socioeconomic status (SES) and self-rated health (SRH), and to explore the concept of SSS in school. Cross-sectional data were combined with interview data in which the meaning of SSS was further explored. Individual interviews with 35 adolescents aged 17-18 years were conducted. In the qualitative study, data were analysed using Grounded Theory. In the quantitative study, statistical analyses (e.g., chi-square test and uni- and multivariable logistic regression analyses) were performed. In the mixed method study, a combination of statistical analyses and thematic network analysis was applied. The results showed that there was a complexity in how the adolescent boys viewed, experienced, dealt with and valued health. On a conceptual level, they perceived health as holistic but when dealing with difficult emotions, they were prone to separate the body from the mind. Thus, the adolescent boys experienced a difference between health as a concept and health as an experience (paper I). Concerning emotional orientation in masculinity, two main categories of masculine conceptions were identified: a gender-normative masculinity and a non-gender-normative masculinity (paper II). Gender-normative masculinity comprised two seemingly opposite emotional masculinity orientations, one towards toughness and the other towards sensitivity, both of which were highly influenced by contextual and situational group norms and demands, despite that their expressions are in contrast to each other. Non-gender-normative masculinity included an orientation towards sincerity, emphasising the personal values of the boys. Emotions were expressed more independently of peer group norms. The findings suggest that different masculinities and the expression of emotions are intricately intertwined and that managing emotions is vital for wellbeing. The present findings also showed that both shame and pride were significantly associated with SRH, and furthermore, that there seems to be a protective effect of experiencing pride for health (paper III). The results also demonstrated that SSS is strongly related to SRH, and high SRH is related to high SSS, and further that the positioning was done in a gendered space (paper IV). Results from all studies suggest that the emotional and relational aspects, as well as perceived SSS, were strongly related to SRH. Positive emotions, trustful relationships and having a sense of belonging were important factors for health and pride was an important emotion protecting health. Physical health, on the other hand, had a more subordinated value, but the body was experienced as an important tool to achieve health. Even though health was mainly perceived in a holistic manner by the boys, there were boys who were prone to dichotomise the health experience into a mind-body dualism when having to deal with difficult emotions. In conclusion, this thesis demonstrates that young, masculine health is largely experienced through emotions and relationships between individuals and their contexts affected by gendered practices. Health is to feel and function well in mind and body and to have trusting relationships. The results support theories on health as a social construction of interconnected processes. Having confidence in self-esteem, access to trustful relationships and the courage to resist traditional masculine norms while still reinforcing and maintaining social status are all conducive to good health. Researchers as well as professionals need to consider the complexity of adolescent boys’ health in which norms, values, relationships and gender form its social determinants. Those working with young boys should encourage them to integrate physical, social and emotional aspects of health into an interconnected and holistic experience.