Telemed J E Health - A low-cost body inertial-sensing network for practical gait discrimination of hemiplegia patients.

Tópicos

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Resumo

Gait analysis is widely used in detecting human walking disorders. Current gait analysis methods like video- or optical-based systems are expensive and cause invasion of human privacy. This article presents a self-developed low-cost body inertial-sensing network, which contains a base station, three wearable inertial measurement nodes, and the affiliated wireless communication protocol, for practical gait discrimination between hemiplegia patients and asymptomatic subjects. Every sensing node contains one three-axis accelerometer, one three-axis magnetometer, and one three-axis gyroscope. Seven hemiplegia patients (all were abnormal on the right side) and 7 asymptomatic subjects were examined. The three measurement nodes were attached on the thigh, the shank, and the dorsum of the foot, respectively (all on the right side of the body). A new method, which does not need to obtain accurate positions of the sensors, was used to calculate angles of knee flexion/extension and foot in the gait cycle. The angle amplitudes of initial contact, toe off, and knee flexion/extension were extracted. The results showed that there were significant differences between the two groups in the three angle amplitudes examined (-0.52?0.98? versus 6.94?2.63?, 28.33?11.66? versus 47.34?7.90?, and 26.85?8.6? versus 50.91?6.60?, respectively). It was concluded that the body inertial-sensing network platform provided a practical approach for wearable biomotion acquisition and was effective for discriminating gait symptoms between hemiplegia and asymptomatic subjects.

Resumo Limpo

gait analysi wide use detect human walk disord current gait analysi method like video opticalbas system expens caus invas human privaci articl present selfdevelop lowcost bodi inertialsens network contain base station three wearabl inerti measur node affili wireless communic protocol practic gait discrimin hemiplegia patient asymptomat subject everi sens node contain one threeaxi acceleromet one threeaxi magnetomet one threeaxi gyroscop seven hemiplegia patient abnorm right side asymptomat subject examin three measur node attach thigh shank dorsum foot respect right side bodi new method need obtain accur posit sensor use calcul angl knee flexionextens foot gait cycl angl amplitud initi contact toe knee flexionextens extract result show signific differ two group three angl amplitud examin versus versus versus respect conclud bodi inertialsens network platform provid practic approach wearabl biomot acquisit effect discrimin gait symptom hemiplegia asymptomat subject

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