Wrist-Worn Accelerometer Gait Analysis for Long-Duration Monitoring
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Solution Overview
Problem
Traditional gait analysis equipment is expensive, requires laboratory settings, and limited in duration, while wrist-worn accelerometers face challenges in accurately inferring gait parameters from acceleration data.
Innovation Solution
Systems and methods using a wrist-worn accelerometer coupled with a processor to estimate gait parameters such as step length, step width, single limb support time, and double limb support time by analyzing acceleration data through sliding windows and threshold crossings, employing autocorrelation functions to determine step duration and limb support phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional gait analysis equipment is used in laboratory settings, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses a wrist-worn accelerometer as a simplified copy of traditional laboratory gait analysis equipment. Instead of complex force plates and motion capture systems, the invention copies the essential function of measuring gait parameters using a simple accelerometer that detects wrist motion during walking, thereby achieving acceptable measurement precision with much lower device complexity
Solution Approach 2:
The invention replaces complex mechanical measurement systems (force plates, motion capture cameras) with an electronic accelerometer-based system. The accelerometer electronically detects acceleration patterns during gait, substituting mechanical measurement approaches with electronic sensing and signal processing to derive gait parameters
2Measurement precision
If traditional laboratory-based gait analysis is performed, then measurement precision is improved, but duration of action is limited
Solution Approach 1:
The patent transitions from static, controlled laboratory measurements to dynamic, real-world gait monitoring. The wrist-worn accelerometer enables continuous gait parameter measurement during natural walking activities in daily life, allowing long-duration monitoring while maintaining acceptable precision through adaptive signal processing that accounts for varying walking conditions
3Ease of operation
If wrist-worn accelerometers are used for gait analysis, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent employs parameter changes in the form of adaptive threshold values and processing parameters based on individual user characteristics and walking conditions. The system adjusts measurement parameters dynamically to optimize precision for each user, compensating for the simplified sensor approach and maintaining accurate gait parameter estimation while preserving ease of operation
Data Source
AI summary
Embodiments of systems and methods determine one or more gait parameters using acceleration readings generated by an accelerometer coupled to a user. Gait parameters determined by various embodiments may include step length, step width, step time, single limb support time, or double limb support time. The accelerometer may be coupled to one of the user's arms. Exemplary systems may comprise an accelerometer, a processor, and a non-transitory computer readable medium (NTCRM). The processor may process acceleration readings from the accelerometer according to instructions stored on the NTCRM to determine the one or more gait parameters. The processor may communicate the one or more gait parameters to a receiving device. Some embodiments of the system may function as self-contained units and some embodiments may present information corresponding to gait parameters or recommendations regarding gait.