MEMS Sensor Cognitive Diagnosis Kinematic Analysis

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for diagnosing cognitive disorders such as dementia, Alzheimer's, and brain trauma are time-consuming, expensive, and unreliable, with significant variability due to observational and recording differences among healthcare providers, lacking sensitive and specific means for early detection and rehabilitation assessment.

Innovation Solution

The use of microelectromechanical system (MEMS) sensors and synchronized video to perform cognitive stimulus/response tests, including tactile perception tests, to objectively assess cognitive function by measuring kinematic data and comparing it to normal signatures, providing a comprehensive, sensitive, and specific diagnosis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional observational methods are used for cognitive disorder diagnosis, then the diagnostic process can be performed with simple equipment, but the reliability and consistency of diagnosis deteriorate due to observer variability

Engineering Contradiction:
Improvediagnostic consistencyVSAvoidmeasurement system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces subjective observational methods with objective sensor-based measurement systems. MEMS sensors, accelerometers, gyroscopes, and other electronic devices capture kinematic data during cognitive tasks, eliminating observer variability and providing consistent, quantifiable measurements of motor performance and cognitive function.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces computational algorithms and data processing systems as intermediaries between the patient's physical responses and the diagnostic conclusion. These algorithms objectively analyze sensor data, compare results to normative databases, and generate standardized diagnostic reports, removing human subjectivity from the diagnostic process.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive cognitive assessment protocols are implemented, then diagnostic accuracy improves, but the time required for assessment increases

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidassessment duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent employs a tiered assessment approach where essential cognitive and motor functions are measured through brief, targeted sensor-based tasks. By focusing on key performance indicators during short assessment periods, the system achieves high diagnostic accuracy without requiring exhaustive testing protocols, thus reducing time loss while maintaining precision.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent enables continuous data collection during natural task performance rather than requiring discrete, time-consuming measurements. Sensors continuously monitor kinematic parameters during cognitive tasks, allowing comprehensive assessment to occur naturally over the duration of everyday activities rather than requiring separate dedicated testing sessions.

Inventive Principle:
Principle #20Continuity of useful action

3Measurement precision

If multiple diagnostic parameters are measured to improve diagnostic specificity, then the ability to differentiate cognitive disorders improves, but the complexity of data collection and analysis increases

Engineering Contradiction:
Improvediagnostic specificityVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs a multi-functional sensor platform that simultaneously captures multiple diagnostic parameters including kinematic data, acceleration, rotation, and temporal patterns during cognitive tasks. This universal measurement system differentiates between various cognitive disorders (Alzheimer's, Parkinson's, traumatic brain injury) by analyzing patterns across all parameters together, reducing the need for separate specialized equipment for each disorder type.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines multiple sensor types (MEMS, accelerometers, gyroscopes, cameras) and multiple data streams into a unified analysis framework. By merging these diverse measurements and processing them through integrated algorithms, the system achieves high diagnostic specificity while managing complexity through consolidation rather than separate analysis systems.

Inventive Principle:
Principle #5Merging (Combining)

4Measurement precision

If wearable sensors are used to capture fine psychomotor function, then sensitivity to cognitive disorder detection improves, but the cost and technical complexity of the system increases

Engineering Contradiction:
Improvepsychomotor function sensitivityVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent utilizes low-cost, commercially available MEMS sensors and consumer electronics (smartphones, tablets, wearable devices) that can be easily deployed and replaced. These inexpensive sensors capture fine psychomotor functions with high sensitivity, eliminating the need for expensive specialized laboratory equipment while maintaining measurement precision through mass-producible sensor technology.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables accurate, reliable, and reproducible diagnosis of cognitive disorders, allowing for early detection and monitoring of rehabilitation progress, reducing the need for medically trained personnel and minimizing observer bias.

Implementation Method 1

measuring the subject's tactile perception test performance with a microelectromechanical sensor

Methodology Applied
Scientific EffectMicroelectromechanical system (MEMS) sensing: Microelectromechanical Systems

Implementation Method 2

The microelectromechanical sensor may include an accelerometer or gyroscope

Methodology Applied
Scientific EffectAccelerometer measurement: Accelerometer

Implementation Method 3

The microelectromechanical sensor may include an accelerometer or gyroscope

Methodology Applied
Scientific EffectGyroscope measurement: Gyroscope

Data Source

PatentUS11751799B1Methods and systems for diagnosing cognitive conditions
Publication Date: 2023.09.12 JOHNSON LANNY LEO
  • US11751799B1 patent drawing
  • US11751799B1 patent drawing
  • US11751799B1 patent drawing

AI summary

This disclosure provides methods for diagnosing a cognitive disorder including performing a tactile perception test on a subject, measuring the subject's tactile perception test performance with a microelectromechanical sensor, and performing a cognitive disorder diagnosis on the subject. The tactile perception test may include distinguishing between various shaped and sized objects and selecting a predetermined one. The tactile perception test may include a two-point discrimination test. The tactile perception test may include testing lower extremity coordination. The tactile perception test may include testing upper extremity coordination. The cognitive disorder may include dementia, Alzheimer's, brain trauma, or concussion. The microelectromechanical sensor may include an accelerometer or gyroscope.