cueStim Functionality
cueStim dynamically senses if the Person with Parkinson’s (PwP) is sitting, walking or trying to initiate movement and dynamically assesses gait patterns. The device delivers patient-specific electrical stimulation aimed at reducing FoG events and their duration. Stimulation parameters (e.g. voltage, pulse duration, frequency +7 others) are initially set by the clinician, within a range considered safe, so as to customize the patient’s therapy - every patient is different. These parameters can be changed by the PwP’s health care provider as the patient’s condition changes over time. The PwP also has the ability to change a limited number of stimulation parameters between clinical visits.
The Wearable Stimulation Units are self-contained within a plastic injection molded housing that holds the electronics, measurement sensors, rechargeable battery, communication and control elements that provide the intelligence behind the stimulation. The sensor pack built into each WSU measures and reports a body's specific position, acceleration and angular velocity.
Each WSU has the power to process the data delivered dynamically by its sensors such that how stimulation is delivered, as the patient moves from the sitting position to walking at various paces, can be dynamically managed.
Advanced Features
In addition to cueStim’s core capabilities, which provide a PwP’s healthcare team with a broad range of stimulation parameters to choose from, there are a number of capabilities built into the system that provide enhanced value:
Detection and Reporting of FoG Events
Fortis Medical Devices has developed, via the use of proprietary Machine Learning Algorithms, the capability to post-process, on a daily basis, data uploaded to its cloud facility by cueStim to estimate the occurrence and duration of FoG experienced by each patient. The historical report that can be generated is critical in evaluating a patient’s progress and the degree to which the stimulation parameters might be changed to further improve the efficacy of the cueStim treatment regimen as the patient’s condition changes.
Detection of Falls
Using similar Machine Learning Algorithms as those used in the detection of FoG events, Fortis has developed the capability to estimate the number of falls a PwP has experienced. Falls are a major issue that can result in serious injury, and monitoring this aspect of a patient’s progress over time is a critical aspect of a PwP's healthcare.
Compliance Tracking
Patient compliance with prescribed therapies can be a major problem. cueStim will collect and report, via its cloud facility, a PwP’s hours of use of the cueStim system – providing the clinician with another valuable tool in ensuring PwPs are getting the best out of the cueStim system.
Advanced Features
Fortis has a pipeline of new features under development that it believes will further enhance the cueStim system’s efficacy and ease of use.
The diagram below shows how the different components of the cueStim system work together to provide the patient and healthcare providers they work with a closed loop system that enables a regimen of continuous therapy optimization.