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比较专业可穿戴技术和日常可穿戴技术在不同身体位置记录步态扰动方面的情况。

Comparison of professional and everyday wearable technology at different body positions in terms of recording gait perturbations.

作者信息

Feld Lea, Schell-Majoor Lena, Hellmers Sandra, Koschate Jessica, Hein Andreas, Zieschang Tania, Kollmeier Birger

机构信息

Department of Medical Physics and Acoustics, Medical Physics and Cluster of Excellence Hearing4all, Carl von Ossietzky University, Oldenburg, Germany.

Department for Health Services Research, Assistance Systems and Medical Device Technology, Carl von Ossietzky University, Oldenburg, Germany.

出版信息

PLOS Digit Health. 2024 Aug 30;3(8):e0000553. doi: 10.1371/journal.pdig.0000553. eCollection 2024 Aug.

Abstract

Falls are a significant health problem in older people, so preventing them is essential. Since falls are often a consequence of improper reaction to gait disturbances, such as slips and trips, their detection is gaining attention in research. However there are no studies to date that investigated perturbation detection, using everyday wearable devices like hearing aids or smartphones at different body positions. Sixty-six study participants were perturbed on a split-belt treadmill while recording data with hearing aids, smartphones, and professional inertial measurement units (IMUs) at various positions (left/right ear, jacket pocket, shoulder bag, pants pocket, left/right foot, left/right wrist, lumbar, sternum). The data were visually inspected and median maximum cross-correlations were calculated for whole trials and different perturbation conditions. The results show that the hearing aids and IMUs perform equally in measuring acceleration data (correlation coefficient of 0.93 for the left hearing aid and 0.99 for the right hearing aid), which emphasizes the potential of utilizing sensors in hearing aids for head acceleration measurements. Additionally, the data implicate that measurement with a single hearing aid is sufficient and a second hearing aid provides no added value. Furthermore, the acceleration patterns were similar for the ear position, the jacket pocket position, and the lumbar (correlation coefficient of about 0.8) or sternal position (correlation coefficient of about 0.9). The correlations were found to be more or less independent of the type of perturbation. Data obtained from everyday wearable devices appears to represent the movements of the human body during perturbations similar to that of professional devices. The results suggest that IMUs in hearing aids and smartphones, placed at the trunk, could be well suited for an automatic detection of gait perturbations.

摘要

跌倒在老年人中是一个严重的健康问题,因此预防跌倒至关重要。由于跌倒往往是对步态干扰(如滑倒和绊倒)反应不当的结果,其检测在研究中越来越受到关注。然而,迄今为止,尚无研究使用助听器或智能手机等日常可穿戴设备在不同身体部位对扰动检测进行调查。66名研究参与者在分体式跑步机上受到扰动,同时使用助听器、智能手机和专业惯性测量单元(IMU)在不同位置(左耳/右耳、夹克口袋、肩包、裤子口袋、左脚/右脚、左手腕/右手腕、腰部、胸骨)记录数据。对数据进行目视检查,并计算整个试验和不同扰动条件下的中位数最大互相关。结果表明,助听器和IMU在测量加速度数据方面表现相当(左耳助听器的相关系数为0.93,右耳助听器为0.99),这突出了利用助听器中的传感器进行头部加速度测量的潜力。此外,数据表明使用单个助听器进行测量就足够了,第二个助听器没有额外价值。此外,耳朵位置、夹克口袋位置与腰部(相关系数约为0.8)或胸骨位置(相关系数约为0.9)的加速度模式相似。发现相关性或多或少与扰动类型无关。从日常可穿戴设备获得的数据似乎代表了人体在扰动期间的运动,类似于专业设备。结果表明,放置在躯干处的助听器和智能手机中的IMU可能非常适合自动检测步态扰动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e81/11364241/cf46eec1dc87/pdig.0000553.g001.jpg

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