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Reduce (or isolate from) vibration
Published in Michael Wiklund, Kimmy Ansems, Rachel Aronchick, Cory Costantino, Alix Dorfman, Brenda van Geel, Jonathan Kendler, Valerie Ng, Ruben Post, Jon Tilliss, Designing for Safe Use, 2019
Michael Wiklund, Kimmy Ansems, Rachel Aronchick, Cory Costantino, Alix Dorfman, Brenda van Geel, Jonathan Kendler, Valerie Ng, Ruben Post, Jon Tilliss
Hand-held tools that vibrate intensely can eventually injure arms, hands, or fingers. The resulting condition, called hand-arm vibration syndrome (HAVS), can involve neurological, vascular, or musculoskeletal damage. Symptoms include tingling and numbness, pain, reduced strength and range of motion (i.e., mobility), and a whitening of the fingertips due to lack of blood circulation (i.e., a secondary Raynaud phenomenon).1
Self-monitoring of Raynaud’s phenomenon with FLIR ONE® PRO
Published in The Imaging Science Journal, 2018
Raynaud’s phenomenon is characterized by constriction of the small blood vessels (Vasospasm) in the extremities such as the fingers or toes which impedes normal blood-flow. It is believed that the reaction occurs because of the body’s over-sensitivity to even the slightest changes in temperature, the cold, and stress and anxiety. Visual indicators can be a change in the normal colour of the fingers to white (ischaemia), to blue (deoxygenation), and then to red (reperfusion) [1] see Figure 1. Physically a person can feel pain, stiffness and numbness in the affected area.
Study on methods to extract high contrast image in active dynamic thermography
Published in Quantitative InfraRed Thermography Journal, 2019
Ashish Saxena, Vignesh Raman, E. Y. K. Ng
Since ADT involves a transient process of recovery to normal state post-external excitation, to reconstruct the synthetic image, pixel-specific parameters pertaining to thermal recovery can also be extracted. One such parameter is the thermal time constant (called Tau time, ‘τ’) that quantifies the thermal activity of the tissue. Given the apparent difference in heat transfer rate between the skin tissue with and without vein, it is imperative that the τ time evaluation would differentiate the two; hence,it brings out the contrast in the resultant τ image. This image can be used to diagnose skin tissue with pathological conditions as described in the work of Foerster et al. [15], wherein the authors have developed a τ image-based tool to diagnose Raynaud’s phenomenon (RP). Further, to estimate the τ value more accurately, a non-linear regression-based exponential curve fitting to the experimental data can be done. This method is applied to monitor the cardio surgery [16–18], evaluation of burn wound healing [19–21], vascular disease diagnosis [22], etc. Recently, Moderhak et al. [23] described a dynamic thermography method, wherein 60 seconds of thermal excitation and 180 seconds of recovery time is used, to quantitively determine the success of breast reconstruction procedure by skin flap perfusion assessment. The authors have used a Simplified Magnitude-Temporal Parametrization method (SMTP) to define two unique parameters: and [24], at each pixel, to reconstruct a single image from the ADT sequence, respectively. With the help of the improved contrast images, reconstructed using these two parameters, the authors have shown that the two groups of patients, who will either develop post-surgery necrosis complications or not, can be diagnosed at an early stage. In our recent work [25], a novel method of single image reconstruction, image, is introduced. Comparing the new method with the existing τ image method, in three subjects, it is reported that the image provides a quantitative and qualitative high contrast image.