毫米波无线雷达网络通过步态分析早期检测帕金森病

2023 IEEE Radar Conference (RadarConf23) Pub Date : 2023-05-01 DOI:10.1109/RadarConf2351548.2023.10149746

Ignacio E. López-Delgado, Elías Antolinos, Ignacio Sardinero-Meirás, Marcos Gómez-Bracamonte, Julián D Arias-Londoño, E. Luque-Buzo, F. Grandas, J. Godino-Llorente, J. Grajal

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引用次数: 1

摘要

预测帕金森氏症的检测对于延缓其影响至关重要。本文设计了一种用于帕金森病早期检测的雷达网络，分析步态障碍。雷达网络的初步结果表明，步态生物特征和与帕金森病相关的步态不对称可以在微多普勒特征中清楚地识别出来。

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mm-Wave wireless radar network for early detection of Parkinson's Disease by gait analysis

Anticipating the detection of Parkinson's Disease is critical to delay its effects. This paper presents the design of a radar network for the early-detection of Parkinson's Disease analyzing gait impairments. The preliminary results of the radar network show that gait biometrics, and gait asymmetries linked to Parkinson's Disease can be clearly identified in the micro-Doppler signature.

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2023 IEEE Radar Conference (RadarConf23)

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