Systems and methods employing remote data gathering and monitoring for diagnosing, staging, and treatment of Parkinsons disease, movement and neurological disorders, and chronic pain
First Claim
1. A system comprising:
- at least one remotely located patient device, wherein the patient device comprises a touch input screen, wherein the patient device interfaces with a data collection modality, wherein the data collection modality is at least one of a video capture device, a kinematic orientation/motion tracker, an accelerometer, a gyroscope, an attitude sensor, a global positioning system, a temperature monitor, a blood pressure monitor, a biometric security device, an electrocardiography (EKG/ECG) sensor, or an electroencephalography (EEG) sensor, anda data center comprising one or more servers comprising a non-transitory computer readable medium having computer program logic encoded thereon, wherein the computer program logic comprises instructions for;
receiving patient data from the patient device, wherein the received patient data comprises motion capture data comprising motor symptoms of Parkinson'"'"'s disease;
identifying a sequence of medically related tests for monitoring Parkinson'"'"'s disease based at least on the data collection modality that interfaces with the patient device, wherein the sequence of medically related tests comprises a test from a Unified Parkinson'"'"'s Disease Rating Scale;
wherein the sequence of medically related tests comprises a task to test abstract thinking skills;
transmitting to the patient device at least one of the sequence of medically related tests for monitoring Parkinson'"'"'s disease; and
analyzing results of the at least one of the sequence of medically related tests to generate a baseline measurement that can be used to longitudinally track changes in Parkinson'"'"'s disease.
3 Assignments
0 Petitions
Accused Products
Abstract
This disclosure relates to early diagnosis and assessment tools for Parkinson'"'"'s disease, movement disorder, neurological disease, and/or chronic pain, designed to drive innovation and to accelerate best Parkinson'"'"'s disease, movement disorders, neurological disease, and chronic pain research. The present disclosure facilitates improved access to Parkinson'"'"'s disease, movement disorders, neurological disease, and chronic pain patients along with innovative data capture methods that are designed to leading to improved therapies and assisting in finding a cure for Parkinson'"'"'s disease, movement disorders, neurological diseases, and/or chronic pain. In addition the present disclosure is broadly applicable as a diagnosis and assessment tool to all movement disorders and many neurological diseases and/or chronic pain.
299 Citations
90 Claims
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1. A system comprising:
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at least one remotely located patient device, wherein the patient device comprises a touch input screen, wherein the patient device interfaces with a data collection modality, wherein the data collection modality is at least one of a video capture device, a kinematic orientation/motion tracker, an accelerometer, a gyroscope, an attitude sensor, a global positioning system, a temperature monitor, a blood pressure monitor, a biometric security device, an electrocardiography (EKG/ECG) sensor, or an electroencephalography (EEG) sensor, and a data center comprising one or more servers comprising a non-transitory computer readable medium having computer program logic encoded thereon, wherein the computer program logic comprises instructions for; receiving patient data from the patient device, wherein the received patient data comprises motion capture data comprising motor symptoms of Parkinson'"'"'s disease; identifying a sequence of medically related tests for monitoring Parkinson'"'"'s disease based at least on the data collection modality that interfaces with the patient device, wherein the sequence of medically related tests comprises a test from a Unified Parkinson'"'"'s Disease Rating Scale; wherein the sequence of medically related tests comprises a task to test abstract thinking skills; transmitting to the patient device at least one of the sequence of medically related tests for monitoring Parkinson'"'"'s disease; and analyzing results of the at least one of the sequence of medically related tests to generate a baseline measurement that can be used to longitudinally track changes in Parkinson'"'"'s disease. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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32. A method comprising:
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receiving, at a data center comprising one or more servers, patient data from at least one remotely located patient device, wherein the patient device comprises a touch input screen, wherein the patient device interfaces with a data collection modality, wherein the data collection modality is at least one of a video capture device, a kinematic orientation/motion tracker, an accelerometer, a gyroscope, an attitude sensor, a global positioning system, a temperature monitor, a blood pressure monitor, a biometric security device, an electrocardiography (EKG/ECG) sensor, or an electroencephalography (EEG) sensor, wherein the received patient data comprises motion capture data comprising motor symptoms of Parkinson'"'"'s disease; identifying, at the data center, a sequence of medically related tests for monitoring Parkinson'"'"'s disease based at least on the data collection modality that interfaces with the patient device, wherein the sequence of medically related tests comprises a test from a Unified Parkinson'"'"'s Disease Rating Scale; wherein the sequence of medically related tests comprises a task to test abstract thinking skills; transmitting, from the data center, at least one of the sequence of medically related tests for monitoring Parkinson'"'"'s disease to the patient device; and analyzing, at the data center, results of the at least one of the sequence of medically related tests to generate a baseline measurement that can be used to longitudinally track changes in Parkinson'"'"'s disease. - View Dependent Claims (33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63)
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64. A system comprising:
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at least one remotely located patient device, wherein the patient device comprises a touch input screen, wherein the patient device interfaces with a data collection modality, wherein the data collection modality is at least one of a video capture device, a kinematic orientation/motion tracker, an accelerometer, a gyroscope, an attitude sensor, a global positioning system, a temperature monitor, a blood pressure monitor, a biometric security device, an electrocardiography (EKG/ECG) sensor, or an electroencephalography (EEG) sensor; and a data center comprising one or more servers comprising a non-transitory computer readable medium having computer program logic encoded thereon, wherein the computer program logic comprises instructions for; receiving patient data from the patient device, wherein the received patient data comprises motion capture data comprising motor symptoms of Parkinson'"'"'s disease; identifying a sequence of medically related tests or therapies for treating Parkinson'"'"'s disease based at least on the data collection modality that interfaces with the patient wherein the sequence of medically related tests comprises a test from a Unified Parkinson'"'"'s Disease Rating Scale; wherein the sequence of medically related tests comprises a task to test abstract thinking skills; transmitting at least one of the sequence of medically related tests or therapies for treating Parkinson'"'"'s disease to the patient device; and analyzing results of the at least one of the sequence of medically related tests or therapies to generate a baseline measurement that can be used to longitudinally track changes in Parkinson'"'"'s disease. - View Dependent Claims (65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75)
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76. A method comprising:
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receiving, at a data center comprising one or more servers, patient data from at least one remotely located patient device, wherein the patient device comprises a touch input screen, wherein the patient device interfaces with a data collection modality, wherein the data collection modality is at least one of a video capture device, a kinematic orientation/motion tracker, an accelerometer, a gyroscope, an attitude sensor, a global positioning system, a temperature monitor, a blood pressure monitor, a biometric security device, an electrocardiography (EKG/ECG) sensor, or an electroencephalography (EEG) sensor, wherein the received patient data comprises motion capture data comprising motor symptoms of Parkinson'"'"'s disease; identifying, at the data center, a sequence of medically related tests or therapies for treating Parkinson'"'"'s disease based at least on the data collection modality that interfaces with the patient device, wherein the sequence of medically related tests comprises a test from a Unified Parkinson'"'"'s Disease Rating Scale; wherein the sequence of medically related tests comprises a task to test abstract thinking skills; transmitting, from the data center, at least one of the sequence of medically related tests or therapies for treating Parkinson'"'"'s disease to the patient device; and analyzing, at the data center, results of the at least one of the sequence of medically related tests or therapies to generate a baseline measurement that can be used to longitudinally track changes in Parkinson'"'"'s disease. - View Dependent Claims (77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88)
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89. A method comprising:
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receiving, at a data center comprising one or more servers, patient data from at least one remotely located patient device, wherein the patient device comprises a touch input screen, wherein the patient device comprises voice capture capability and interfaces with a data collection modality, wherein the data collection modality comprises an accelerometer, wherein the received patient data comprises voice capture data and motion capture data, wherein the voice capture data comprises speech symptoms of Parkinson'"'"'s disease and the motion capture data comprises motor symptoms of Parkinson'"'"'s disease; identifying, at the data center, a sequence of medically related tests for monitoring Parkinson'"'"'s disease based at least on the data collection modality that interfaces with the patient device, wherein the sequence of medically related tests comprises a test from a Unified Parkinson'"'"'s Disease Rating Scale; wherein the sequence of medically related tests comprises a task to test abstract thinking skills; transmitting, from the data center, at least one of the sequence of medically related tests for monitoring Parkinson'"'"'s disease to the patient device; and analyzing, at the data center, results of the at least one of the sequence of medically related tests to generate a baseline measurement that can be used to longitudinally track changes in Parkinson'"'"'s disease. - View Dependent Claims (90)
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Specification