Computational models for improved diagnosis and prognosis of stroke using robot-based biomarkers

Stroke is a leading cause of death and permanent disability worldwide, affecting millions of individuals. Traditional clinical scores for assessment of stroke-related impairments are inherently subjective and limited by inter-rater and intra-rater reliability, as well as floor and ceiling effects. In contrast, robotic technologies provide objective, highly repeatable tools for quantification of neurological impairments following stroke. KINARM is an exoskeleton robotic device that provides objective, reliable tools for assessment of sensorimotor, proprioceptive and cognitive brain function by means of a battery of behavioral tasks. As such, KINARM is particularly useful for assessment of neurological impairments following stroke. This thesis introduces a computational framework for assessment of neurological impairments using the data provided by KINARM. This is done by achieving two main objectives. First, to investigate how robotic measurements can be used to estimate current and future abilities to perform daily activities for subjects with stroke. We are able to predict clinical scores related to activities of daily living at present and future time points using a set of robotic biomarkers. The findings of this analysis provide a proof of principle that robotic evaluation can be an effective tool for clinical decision support and target-based rehabilitation therapy. The second main objective of this thesis is to address the emerging problem of long assessment time, which can potentially lead to fatigue when assessing subjects with stroke. To address this issue, we examine two time reduction strategies. The first strategy focuses on task selection, whereby KINARM tasks are arranged in a hierarchical structure so that an earlier task in the assessment procedure can be used to decide whether or not subsequent tasks should be performed. The second strategy focuses on time reduction on the longest two individual KINARM tasks. Both reduction strategies are shown to provide significant time savings, ranging from 30% to 90% using task selection and 50% using individual task reductions, thereby establishing a framework for reduction of assessment time on a broader set of KINARM tasks. All in all, findings of this thesis establish an improved platform for diagnosis and prognosis of stroke using robot-based biomarkers.

Autonomy-Oriented Social Movements and the Politics of Affect

Abstract This dissertation explores damaging tendencies that exist within autonomy-oriented activism in the West. I examine how affect shapes the way that internal conflict is approached and internal strife is dealt with in radical communities. I adopt Sara Ahmed’s proposition “that our emotions are bound up with the securing of the social hierarchy” (Ahmed, 2004b: 4) and given that autonomy-oriented practices are committed to dismantling existing hierarchies, it follows that the less oppressive social configurations sought by autonomous social movements must have different emotional underpinnings. My thesis involves applying critical theory on affect and emotion in social movements to interview data gathered from activists both currently and historically involved in autonomy-oriented social movement communities in Kingston, Ontario. I ask whether anglophone, western-based, autonomy-oriented social movements reproduced understandings of affect/emotions/feelings that underwrite the social order they are working against? I also ask, “how are our emotions conditioned by capitalism?”. The research that I engage with provides responses to these questions by pointing out how the dominant discourse on emotions in the West encourages and informs certain modes of identity production that affect the diminishing and sad practices of autonomy-oriented communities and the (re)production of oppressive practices found in the dominant order. My work critically places this psychologizing view of emotions, and its damaging effects on resistance, within the context of neoliberal capitalism. I argue that the way we understand the politics of affect is an important dimension of radical struggle, and will inform and impact upon our individual and collective capacities to respond to, and refuse to reproduce relations of control and domination. I look for an understanding of “why” and to “what extent” these determinations exists, and look for hope in a politics of affect which supports an autonomy-oriented ethic.