Automated Stroke Scale Assessment with Grasp and Motion Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing stroke assessment methods, such as the National Institute of Health Stroke Scale (NIHSS), require clinician intervention and are subjective, time-consuming, and prone to human error.
Innovation Solution
An automated stroke assessment system that communicates with patients to perform tasks, records responses, and determines stroke scale scores without clinician intervention, using sensors to objectively measure patient performance and responses, and integrates with electronic health records for data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated sensors and systems are used for stroke assessment, then objectivity and accuracy of measurement are improved, but device complexity increases
Solution Approach 1:
The automated stroke assessment system is divided into separate functional modules: sensors for collecting physiological data, processors for analyzing the data, and communication interfaces for transmitting results. This segmentation allows each component to be optimized independently while maintaining overall system objectivity and reducing the complexity burden on any single element.
Solution Approach 2:
The system employs multi-functional sensors that can detect multiple physiological parameters (such as motion, pressure, and positional data) simultaneously, eliminating the need for separate devices for each measurement type. This universality improves measurement objectivity while reducing the overall device complexity by consolidating multiple functions into integrated components.
2Productivity
If automated systems perform stroke assessment without clinician intervention, then time consumption is reduced, but reliability of clinical judgment may worsen
Solution Approach 1:
The system incorporates feedback mechanisms where sensor data is continuously monitored and analyzed, with results transmitted to healthcare providers who can review and interpret the automated assessments. This feedback loop maintains clinical reliability by allowing human experts to validate automated measurements while the system operates at high speed, combining the advantages of both automated efficiency and clinical judgment.
Solution Approach 2:
Manual clinical assessment procedures are replaced with automated sensor-based measurement systems that objectively collect physiological data without human intervention during the measurement process. This substitution eliminates human error and variability in data collection while maintaining reliability through validated algorithms and subsequent clinical review, thereby increasing productivity without sacrificing reliability.
3Measurement precision
If multiple sensors and automated components are integrated, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
Multiple sensors and automated components are merged into an integrated system where sensors, processors, and communication interfaces operate as a unified whole. This merging allows the system to maintain high measurement precision through coordinated multi-sensor data collection while simplifying operation through centralized control and automated data processing, reducing the operational burden on users despite the complexity of individual components.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
A stroke scale system includes a patient support apparatus having one or more pressure sensors that can be grasped by a patient, one or more motion detectors that detect movements of the patient, a display unit, an audio unit; and a controller. The stroke scale system performs a series of stroke scale examinations. At least one stroke scale examination instructs the patient to grasp a portion of the patient support apparatus, and the pressure sensors determine compliance with the instructions by measuring an applied pressure to the portion of the patient support apparatus. The stroke scale system calculates a stroke scale score by combining scores determined from the series of stroke scale examinations.