Determination of a Patient's Speed and Stride Length Minimizing Hardware Requirements
2011
Within biomedical engineering, the use of wearable wireless accelerometers for gait analysis can provide useful information for multiple health-related applications. The minimization of hardware for an accurate and simple estimation of the patient's velocity and stride length represents a difficult task. In this paper we propose a new methodology to determine the velocity and stride length of the patient through the application of the wavelet transform to the waist acceleration signal minimizing the hardware requirements. We introduce 4 novel formulations to take into account the trade-off between accuracy and computational costs, showing that an adaptive optimum approach can deliver results with average errors below 5%.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
18
References
16
Citations
NaN
KQI