Standing balance is controlled by several inputs, including vision, vestibular sense, and ankle proprioception Research studies in this field actively engage and manipulate these input mechanisms to examine their effects on the balance output, mainly muscle actuation in the lower limbs. While significant progress has been made, it is often difficult to isolate a single input and test its results on the output. The unique Robot for Interactive Sensor Engagement and Rehabilitation (RISER) has been developed in the UBC CARIS
Surgeons routinely use electrocautery to remove unwanted tissue, seal off and cauterize small bleeding vessels in the tissue, or create a surgical incision. Cauterizing tissue, however, creates a smoke plume that contains potential carcinogens as a result of carbonization of proteins and fat. The (soft) tissues that are treated may also contain hazardous materials, e.g., bacteria, viruses. Also, occasionally, when prosthetic materials are vaporized, there may be the development of toxic gases. Ideally, all of this smoke should be removed from the operating room.
Cancer is classified into various stages of malignancy. The highest and most lethal stage is characterized by tumor invasion and metastasis. There are basically two mechanisms for cancer metastasis, (i) transport of malignant cells through the blood stream and (ii) active movement of tumor cells into healthy tissue. In this project we are interested in the second mechanism.
Dynamic Nuclear Polarisation makes it possible to boost the MRI signal of 13C labelled pyruvate 10,000-fold, overcoming the low natural signal of carbon. This makes imaging of metabolic processes possible, and could provide useful insight on changes in cellular metabolism due to cancer.
Stem cells are at the forefront of modern medicine and are expected to revolutionize both the human and veterinary healthcare industries. Currently, a major obstacle to the field is the time-consuming and costly technical time spent growing and maintaining various stem cell populations. The degree of contamination with non-stem cells, ability of the stem cells to thrive and grow, and quality of the stem cells depends largely on the skill of the technician.
Deep brain stimulation (DBS) consists in implanting electrodes delivering electric stimuli in deep brain structures to relieve motor symptoms of Parkinson's disease (PD). Even if DBS is successful in alleviating symptoms for about 50,000 patients worldwide, it is an invasive neurosurgical technique, and its mechanisms of action remain elusive. This therapy could be greatly improved by targeting the cortex, also impacted by DBS. However, a pre-requisite is to understand how cortical activity is impacted by DBS.
Thrombolytic therapy is the mainstay of stroke treatment. However, this treatment can be potentially harmful. A patient-specific model of expected outcome would greatly facilitate the treatment decision making process both for clinicians and patients. We propose to develop a clinical tool by incorporating the imaging and clinical dataset to predict the fate of tissue in ischemic stroke. We expect the product to enable real-time quantification of expected tissue outcomes using patient- and tissue- specific thresholds.
In this project, a modified Delta parallel robot is designed in which the number of passive joints is reduced, and an active joint is added to the hardware. To the best of our knowledge, this configuration seems to be the first of its kind.
In this project, kinematic and dynamic analyses will be performed. Active compliance control and collision anticipation algorithms will also be developed for this new design. This configuration will be used as the “waist” of an omni-directional, self-balancing service robot. Methodology and novelty of approach and/or application