Artificial intelligence systems for quantifying movement disorder symptoms and adjusting treatment based on symptom quantification
Inventors
Heldman, Dustin A • Pulliam, Christopher L • Giuffrida, Joseph P • Mera, Thomas O
Assignees
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Publication Number
US-11975195-B1
Publication Date
2024-05-07
Expiration Date
Abstract
The present invention relates to methods for remotely and intelligently tuning movement disorder of therapy systems. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely and intelligently or automatically tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning intelligently, automatically and remotely, allowing for home monitoring of subjects.
Core Innovation
The invention provides a movement disorder treatment system that uses at least one movement sensor adapted to be worn on a subject’s wrist and to acquire movement data related to external body motion. An interface receives data from a deep brain stimulation (DBS) therapy device implanted in the subject and from at least one sensor adapted to acquire brain signals related to the external body motion. At least one processor receives the interface data together with the movement data to quantify movement disorder symptoms.
The system outputs a tuning map adapted to present data comprising quantified movement disorder symptom data for at least one symptom, sensor measurements, brain signals, and data from the DBS therapy device. The tuning map is displayed via a display device and is adapted to present symptom quantification represented by varying color. The at least one symptom is selected from tremor, dyskinesia, bradykinesia, rigidity, and gait or balance disturbances, enabling adjustment of the DBS based on the tuning map.
The disclosed workflow supports symptom-driven DBS tuning by correlating current subject data with historical subject data stored in a database, and optionally incorporating subject or clinician input such as diary data as well as determining subject activity and or sleep data from movement data. These additional inputs provide further bases for the tuning map and for adjusting DBS therapy, including stimulation patterns that shape electrical fields and aim to target symptom-associated brain regions while avoiding side-effect-associated regions.
Claims Coverage
The independent claims are clm-00001 and clm-00011. Across these independent claims, the inventive features center on combining wrist-worn movement sensing with DBS-device and brain-signal data, and generating and displaying a tuning map for DBS adjustment based on quantified movement disorder symptoms.
Movement sensor acquiring external body motion data
At least one movement sensor adapted to be worn on a subject’s wrist and adapted to acquire movement data related to a subject’s external body motion.
Interface receiving DBS therapy device data and brain-signal data
An interface adapted to receive data from a deep brain stimulation (DBS) therapy device implanted into a subject and from at least one sensor adapted to acquire brain signals related to the subject’s external body motion.
Processor quantifying symptoms and outputting a tuning map
At least one processor adapted to receive the data from the interface and the movement data, quantify movement disorder symptoms from the movement data, and output a tuning map adapted to present data comprising one or more of quantified movement disorder symptom data, sensor measurements, brain signals, and data from the DBS therapy device.
Display device presenting tuning map for DBS adjustment
A display device adapted to display at least the tuning map to allow for adjustment of the DBS based on the tuning map.
Color-based symptom quantification on tuning map
The tuning map adapted to display symptom quantification represented by varying color.
Symptom selection for quantified movement disorder symptoms
The at least one symptom is selected from tremor, dyskinesia, bradykinesia, rigidity, and gait or balance disturbances.
Across the independent claims, the claims cover a system that quantifies movement disorder symptoms from external body motion data while receiving DBS-device data and brain-signal data, then outputs and displays a tuning map that presents symptom quantification, sensor measurements, brain signals, and DBS data so that DBS can be adjusted based on the tuning map.
Stated Advantages
Enables adjustment of the DBS based on the tuning map.
Symptom quantification is represented on the tuning map using varying color.
Combines movement data with DBS-device data and brain signals to quantify movement disorder symptoms for DBS adjustment.
Documented Applications
Remote or telehealth-style access and data sharing via smartphone and remote device or database for a remote physician, clinician, technician, or caregiver.
Using historical subject data stored in a database to correlate current movement and interface data with historical data to quantify symptoms or determine new treatment parameters.
Using diary data and activity and or sleep data to further base the tuning map and DBS optimization.
Targeting symptom-associated brain regions while avoiding side-effect-associated regions by shaping electrical fields via stimulation patterns.
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