Real-Time Estimation of Pathological Tremor Parameters from Gyroscope Data

被引：84

作者：

Gallego, Juan A. ^{[1
]}

Rocon, Eduardo ^{[1
]}

Roa, Javier O. ^{[1
]}

Moreno, Juan C. ^{[1
]}

Pons, Jose L. ^{[1
]}

机构：

[1] CSIC, Bioengn Grp, Arganda Del Rey 28500, Spain

来源：

SENSORS | 2010年 / 10卷 / 03期

关键词：

tremor; inertial sensors; MEMS gyroscope; tremor modelling; voluntary movement estimation; adaptive signal processing; Kalman filter; real-time estimation; neuroprosthesis; ADAPTIVE ESTIMATION; FREQUENCY; PATHOPHYSIOLOGY; STIMULATION; SUPPRESSION; MOTION;

D O I：

10.3390/s100302129

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

This paper presents a two stage algorithm for real-time estimation of instantaneous tremor parameters from gyroscope recordings. Gyroscopes possess the advantage of providing directly joint rotational speed, overcoming the limitations of traditional tremor recording based on accelerometers. The proposed algorithm first extracts tremor patterns from raw angular data, and afterwards estimates its instantaneous amplitude and frequency. Real-time separation of voluntary and tremorous motion relies on their different frequency contents, whereas tremor modelling is based on an adaptive LMS algorithm and a Kalman filter. Tremor parameters will be employed to drive a neuroprosthesis for tremor suppression based on biomechanical loading

引用

页码：2129 / 2149

页数：21

共 43 条

[1]

[Anonymous], 2000, Control of movement for the physically disabled: control for rehabilitation technology

[2]

Bar-Shalom Yaakov., 1998, Estimation and tracking: Principles, techniques and software

[3] SYNTHESIS OF AN OPTIMAL SET OF RADAR TRACK-WHILE-SCAN SMOOTHING EQUATIONS [J].