Towards Closed-loop Deep Brain Stimulation: Behavior Recognition from Human STN

Deep brain stimulation (DBS) provides significant therapeutic benefit for movement disorders such as Parkinson’s disease (PD). Current DBS devices lack real-time feedback (thus are open loop) and stimulation parameters are adjusted during scheduled visits with a clinician. A closed-loop DBS system may reduce power consumption and side effects by adjusting stimulation parameters based on patient’s behavior. Thus behavior detection is a major step in designing such systems. Various physiological signals can be used to recognize the behaviors. Subthalamic Nucleus (STN) Local field Potential (LFP) is a great candidate signal for the neural feedback, because it can be recorded from the stimulation lead and does not require additional sensors. This thesis proposes novel detection and classification techniques for behavior recognition based on deep brain LFP. Behavior detection from such signals is the vital step in developing the next generation of closed-loop DBS devices. LFP recordings from 13 subjects are utilized in this study to design and evaluate our method. Recordings were performed during the surgery and the subjects were asked to perform various behavioral tasks. Various techniques are used understand how the behaviors modulate the STN. One method studies the time-frequency patterns in the STN LFP during the tasks. Another method measures the temporal inter-hemispheric connectivity of the STN as well as the connectivity between STN and Pre-frontal Cortex (PFC). Experimental results demonstrate that different behaviors create different m odulation patterns in STN and it’s connectivity. We use these patterns as features to classify behaviors. A method for single trial recognition of the patient’s current task is proposed. This method uses wavelet coefficients as features and support vector machine (SVM) as the classifier for recognition of a selection of behaviors: speech, motor, and random. The proposed method is 82.4% accurate for the binary classification and 73.2% for classifying three tasks. As the next step, a practical behavior detection method which asynchronously detects behaviors is proposed. This method does not use any priori knowledge of behavior onsets and is capable of asynchronously detect the finger movements of PD patients. Our study indicates that there is a motor-modulated inter-hemispheric connectivity between LFP signals recorded bilaterally from STN. We utilize a non-linear regression method to measure this inter-hemispheric connectivity and to detect the finger movements. Our experimental results using STN LFP recorded from eight patients with PD demonstrate this is a promising approach for behavior detection and developing novel closed-loop DBS systems.

Legislative Proposals to Modernize Business Development Companies and Expand Investment Opportunities, Testimony Before the House Subcommittee on Capital Markets and Government Sponsored Enterprises

This testimony discusses proposed legislation to amend the definition of accredited investor. It also discusses proposed legislation designed to reform the regulatory framework for business development companies. Among other things, the regulatory regime for BDCs would change to allow these companies to invest a greater portion of their assets in financial companies, potentially reducing the percentage of assets invested in operating companies.

In Situ Bioremediation Methods for Petroleum Pollutants in Soil: A Training Manual for Construction Companies

Construction companies are interested in adopting environmental methods, such as in situ bioremediation, when conducting remediation at petroleum contaminated sites. This interest is due to both the cost benefits associated with in situ bioremediation methods and the environmental movement. This project creates a comprehensive manual comprised of information about site investigations, treatability studies, design, and implementation of in situ bioremediation at petroleum contaminated sites. The training manual also provides information about regulatory requirements and permitting for petroleum contaminated sites.

Legal, Ethical and Cultural Issues U.S. companies face when moving operations to China.

Beyond free trade agreements governing cross-border commerce, the source of most global economic growth is attributed to business across interconnecting markets. Among the most attractive and complex markets, China stands out. Despite its appeal, American businesses are more likely to fail in China due to an overwhelming desire for an immediate return on investment while neglecting to consider or completely disregarding China's unique legal, ethical and cultural environment. This capstone project will give recommendations to help businesses succeed when entering China and avoid legal, ethical and cultural issues such as the ones that Google, Apple, and Yahoo experienced.