The end goal of the project involving the Tremor Analysis Engine was to build a motorized glove called HEXOES (Hand Exoskeleton with Embedded Synergies). This glove was designed to provide improved movement facility to quadriplegic patients with Parkinson's disease. The Tremor Analysis Engine was used to smooth out signals picked up by neural sensing devices placed near the patient's arm and brain. This enabled the HEXOES glove to respond more accurately to the patient's movements, providing improved control and dexterity.

The HEXOES glove was a major achievement for the SMC lab and its partners. The team was able to develop a motorized glove that could help quadriplegic patients with Parkinson's disease to regain some of their lost mobility. The glove's ability to smooth out tremors and other disruptions in the neural signals allowed for more precise control, enabling patients to perform a wider range of movements and activities.

The Tremor Analysis Engine is a web-based application I developed at the Sensorimotor Control Lab (SMC) at the

Stevens Institute of Technology

The Tremor Analysis Engine was designed to be highly scalable and extensible, allowing it to be easily adapted to different research projects and clinical settings. The engine incorporates HIPAA-compliant data storage and access, as well as efficient cluster management using Docker and Kubernetes. This allows for fast and secure analysis of large datasets, enabling researchers to quickly and accurately assess tremor severity in patients.

In addition to its core analysis capabilities, the Tremor Analysis Engine also played a role in hardware research at the SMC lab. The results of the engine's statistical analysis were used to inform the design of a low-cost system for tremor analysis, including additive manufacturing models and sensor arrays for a data collection glove. This enabled the lab to develop a complete solution for tremor analysis, from data collection to analysis and interpretation.

Overall, the Tremor Analysis Engine is a valuable tool for researchers at the SMC lab. It allows for fast and accurate analysis of time series data in patients with Parkinson's disease, enabling researchers to better understand the nature and severity of tremors in these patients. By incorporating advanced analysis techniques and scalable web-based technology, the Tremor Analysis Engine provides a powerful and flexible solution for tremor analysis.