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引用次数: 6
摘要
音频和触觉线索已经证明了它们在帮助帕金森病患者步态方面的可用性。当人工智能算法使用位于下肢的可穿戴IMU信号对步态问题进行实时分类时,就会使用这些线索。这种步态问题可能是步态冻结(FOG)和运动迟缓症状。该系统检测到冻结期,并分别在触觉或音频中播放有节奏的模式,如Tacton或Earcon。在之前的训练中进行适当的严肃的游戏,提示可以帮助恢复步态节奏,然后帮助避免跌倒。在不同的研究工作中使用了这两种类型的线索,而没有事先分析在扰动环境中使用的最佳刺激。由于有节奏的听觉声音在真实的户外环境中可能是一个问题,因此本文建议使用用于活动能力评估的Time Up and Go临床评估测试来评估有节奏的刺激提示。
Synchronized walking cadence for TUG in perturbed environments: Using Earcon or Tacton cues?
Audio and haptic cueing have proven their usability to assist gait for patients with Parkinson's disease. These cueings are used when a gait issue is classified in real-time by an artificial intelligent algorithm using wearable IMU signals located at the lower limb. Such gait issue could be freezing of gait (FOG) and Bradykinesia symptoms. This system detects freezing periods and plays a rhythmic pattern such as Tacton or Earcon in haptic or audio respectively. When prior training is done with an appropriate serious game, cueing could help to recover gait cadence and then help to avoid fall. Both types of cueing were used in different research works without prior analysis on the best stimulation to use in a perturbed environment. Since rhythmic auditory sound could be an issue in a real outdoor environment, this paper suggests evaluating rhythmic stimulation cueing with the Time Up and Go clinical assessment test used for mobility evaluation.