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Detection Of Myofascial Trigger Points With Ultrasound Imaging And Machine Learning, Benjamin Formby
Detection Of Myofascial Trigger Points With Ultrasound Imaging And Machine Learning, Benjamin Formby
All Theses
Myofascial Pain Syndrome (MPS) is a common chronic muscle pain disorder that affects a large portion of the global population, seen in 85-93% of patients in specialty pain clinics [10]. MPS is characterized by hard, palpable nodules caused by a stiffened taut band of muscle fibers. These nodules are referred to as Myofascial Trigger Points (MTrPs) and can be classified by two states: active MTrPs (A-MTrPs) and latent MtrPs (L-MTrPs). Treatment for MPS involves massage therapy, acupuncture, and injections or painkillers. Given the subjectivity of patient pain quantification, MPS can often lead to mistreatment or drug misuse. A deterministic way …
Measuring Digital System Latency From Sensing To Actuation At Continuous 1 Millisecond Resolution, Weixin Wu
Measuring Digital System Latency From Sensing To Actuation At Continuous 1 Millisecond Resolution, Weixin Wu
All Theses
This thesis describes a new method for measuring the end-to-end latency between sensing and actuation in a digital computing system. Compared to previous work, which generally measures the latency at 16-33 ms intervals or at discrete events separated by hundreds of ms, our new method measures the latency continuously at 1 millisecond resolution. This allows for the observation of variations in latency over sub 1 s periods, instead of relying upon averages of measurements. We have applied our method to two systems, the ?rst using a camera for sensing and an LCD monitor for actuation, and the second using an …