Essays about: "Spinal Cord Stimulation"

Found 3 essays containing the words Spinal Cord Stimulation.

1. 1. The data-driven CyberSpine : Modeling the Epidural Electrical Stimulation using Finite Element Model and Artificial Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yu Qin; [2023]
   Keywords : Spinal Cord Injury; Epidural Electrical Stimulation; Computational Neuroscience; Finite Element Model; Artificial Intelligence; Optimal Transport; EMG; Muscle Activation; Ryggmärgsskada; Epidural Elektrisk Stimulering; Beräkningsneurovetenskap; Finita Elementmodellen; Artificiell Intelligens; Optimal Transport; EMG; Muskelaktivering;

   Abstract : Every year, 250,000 people worldwide suffer a spinal cord injury (SCI) that leaves them with chronic paraplegia - permanent loss of ability to move their legs. SCI interrupts axons passing along the spinal cord, thereby isolating motor neurons from brain inputs. To date, there are no effective treatments that can reconnect these interrupted axons. READ MORE

3. 2. EVOKED PHASE COHERENCE AS A BIOMARKER FOR ADAPTIVE NEUROMODULATION IN RAT MODEL OF PARKINSON'S DISEASE

   University essay from Umeå universitet/Institutionen för psykologi

   Author : Love Zackrisson; [2023]
   Keywords : Adaptive; Closed Loop; Neuromodulation; Parkinson’s Disease; Rat model; 6-OHDA; ITC; Phase Coherence; Bayesian Model; Classifier; Spinal Cord Stimulation; Deep Brain Stimulation.; Adaptiv; Closed Loop; Neuromodulation; Parkinson’s Sjukdom; Råttmodell; 6-OHDA; ITC; Faskoherens; Bayesiansk Modell; Klassificerare; Ryggradsstimulering; Djup Hjärnstimulering.;

   Abstract : Neuromodulation, such as spinal cord stimulation (SCS) and deep brain stimulation (DBS), has been shown to modulate pathophysiological brain activity and provide symptomatic therapy for several neurological disorders, including Parkinson’s Disease. The effectiveness of this therapy could likely be further improved by neuromodulation that is adaptive, delivering stimulation more selectively, by monitoring a biomarker in recorded brain signals, which indicates the presence of a pathological state. READ MORE

4. 3. A Machine Learning-Based Statistical Analysis of Predictors for Spinal Cord Stimulation Success

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Trolle Jacobson; Gustav Segerberg; [2019]
   Keywords : Machine Learning; Predictors; Spinal Cord Stimulation; SCS; Outcomes;

   Abstract : Spinal Cord Stimulation (SCS) is a treatment for lumbar back pain and despitethe proven effcacy of the technology, there is a lack of knowledge in how the treatment outcome varies between different patients groups. Furthermore, since the method is costly, in the sense of material, surgery and follow-up time, a more accurate patient targeting would decrease healthcare costs. READ MORE