Renegotiating sexual intimacy in the context of altered embodiment:the experiences of women with breast cancer and their male partners following mastectomy and reconstruction

OBJECTIVE: Breast cancer diagnosis and treatments can have a profound impact upon women's well-being, body image, and sexual functioning, but less is known about the relational context of their coping and the impact upon their intimate partners. Our study focuses upon couples' experiences of breast cancer surgery, and its impact on body image and sexual intimacy. METHOD: Utilizing a dyadic design, we conducted 8 semistructured individual interviews, with 4 long-term heterosexual couples, after the women had undergone mastectomy with reconstruction. Interviews explored both partners' experiences of diagnosis, decision-making, and experiences of body image and sexual intimacy. Interpretative phenomenological analysis (IPA) was adopted; this is a qualitative research approach characterized by in-depth analysis of the personal meaning of experiences. RESULTS: Findings illustrate the positive acceptance that partners may express toward their wives' postsurgical bodies. They illuminate ways in which gendered coping styles and normative sexual scripts may shape couples' negotiations of intimacy around "altered embodiment." Reciprocal communication styles were important for couples' coping. The management of expectations regarding breast reconstruction may also be helpful. CONCLUSIONS: The insights from the dyadic, multiple perspective design suggest that psychologists must situate the meaning of supportive relationships and other protective factors in the context of complex life events and histories, in order to understand and support people's developing responses to distress. (PsycINFO Database Record

Force sensing for measuring human body movement

The research developed in this thesis explores the sensing and inference of human movement in a dynamic way, as opposed to conventional measurement systems, that are only concerned with discrete evaluations of stimuli in sequential time. Typically, conventional approaches are used to infer the dynamic movement of the body; such as vision and motion tracking devices, with either a human diagnosis or complex image processing algorithm to classify the movement. This research is therefore the first of its kind to attempt and provide a movement classifying algorithm through the use of minimal sensing points, with the application for this novel system, to classify human movement during a golf swing. There are two main categories of force sensing. Firstly, array-type systems consisting of many sensing elements, and are the most commonly researched and commercially available. Secondly, reduced force sensing element systems (RFSES) also known as distributive systems have only been recently exploited in the academic world. The fundamental difference between these systems is that array systems handle the data captured from each sensor as unique outputs and suffer the effects of resolution. The effect of resolution, is the error in the load position measurement between sensing elements, as the output is quantized in terms of position. This can be compared to a reduced sensor element system that maximises that data received through the coupling of data from a distribution of sensing points to describe the output in discrete time. Also this can be extended to a coupling of transients in the time domain to describe an activity or dynamic movement. It is the RFSES that is to be examined and exploited in the commercial sector due to its advantages over array-based approaches such as reduced design, computational complexity and cost.