Pereira Amanda Polin, Machado Neto Olibario Jose, Elui Valeria Meirelles Carril, Pimentel Maria da Graca Campos
Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto SP, Brazil.
State University of Mato Grosso do Sul, Nova Andradina MS, Brazil.
JMIR Aging. 2025 Jan 22;8:e55455. doi: 10.2196/55455.
The prevalence of stroke is high in both males and females, and it rises with age. Stroke often leads to sensor and motor issues, such as hemiparesis affecting one side of the body. Poststroke patients require torso stabilization exercises, but maintaining proper posture can be challenging due to their condition.
Our goal was to develop the Postural SmartVest, an affordable wearable technology that leverages a smartphone's built-in accelerometer to monitor sagittal and frontal plane changes while providing visual, tactile, and auditory feedback to guide patients in achieving their best-at-the-time posture during rehabilitation.
To design the Postural SmartVest, we conducted brainstorming sessions, therapist interviews, gathered requirements, and developed the first prototype. We used this initial prototype in a feasibility study with individuals without hemiparesis (n=40, average age 28.4). They used the prototype during 1-hour seated sessions. Their feedback led to a second prototype, which we used in a pilot study with a poststroke patient. After adjustments and a kinematic assessment using the Vicon Gait Plug-in system, the third version became the Postural SmartVest. We assessed the Postural SmartVest in a within-subject experiment with poststroke patients (n=40, average age 57.1) and therapists (n=20, average age 31.3) during rehabilitation sessions. Participants engaged in daily activities, including walking and upper limb exercises, without and with app feedback.
The Postural SmartVest comprises a modified off-the-shelf athletic lightweight compression tank top with a transparent pocket designed to hold a smartphone running a customizable Android app securely. This app continuously monitors sagittal and frontal plane changes using the built-in accelerometer sensor, providing multisensory feedback through audio, vibration, and color changes. Patients reported high ratings for weight, comfort, dimensions, effectiveness, ease of use, stability, durability, and ease of adjustment. Therapists noted a positive impact on rehabilitation sessions and expressed their willingness to recommend it. A 2-tailed t-test showed a significant difference (P<.001) between the number of the best-at-the-time posture positions patients could maintain in 2 stages, without feedback (mean 13.1, SD 7.12) and with feedback (mean 4.2, SD 3.97), demonstrating the effectiveness of the solution in improving posture awareness.
The Postural SmartVest aids therapists during poststroke rehabilitation sessions and assists patients in improving their posture during these sessions.
中风在男性和女性中的患病率都很高,且随年龄增长而上升。中风常导致感觉和运动问题,如影响身体一侧的偏瘫。中风后患者需要进行躯干稳定训练,但由于他们的病情,保持正确姿势可能具有挑战性。
我们的目标是开发一种价格实惠的可穿戴技术——姿势智能背心,它利用智能手机的内置加速度计来监测矢状面和额状面的变化,同时提供视觉、触觉和听觉反馈,以指导患者在康复过程中达到当时最佳姿势。
为了设计姿势智能背心,我们进行了头脑风暴会议、采访治疗师、收集需求并开发了第一个原型。我们在一项针对无偏瘫个体(n = 40,平均年龄28.4岁)的可行性研究中使用了这个初始原型。他们在1小时的坐姿训练中使用该原型。他们的反馈促成了第二个原型,我们在一项针对中风后患者的试点研究中使用了该原型。经过调整并使用Vicon步态插件系统进行运动学评估后,第三个版本成为了姿势智能背心。我们在一项针对中风后患者(n = 40,平均年龄57.1岁)和治疗师(n = 20,平均年龄31.3岁)的康复训练中的自身对照实验中评估了姿势智能背心。参与者在有无应用程序反馈的情况下进行日常活动,包括行走和上肢锻炼。
姿势智能背心包括一件经过改良的现成轻便运动压缩背心,上面有一个透明口袋,用于安全地放置运行可定制安卓应用程序的智能手机。该应用程序使用内置加速度计传感器持续监测矢状面和额状面的变化,通过音频、振动和颜色变化提供多感官反馈。患者对重量、舒适度、尺寸、有效性、易用性、稳定性、耐用性和调整的便利性给予了高度评价。治疗师指出该背心对康复训练有积极影响,并表示愿意推荐它。双尾t检验显示,患者在两个阶段中能够保持的当时最佳姿势位置数量存在显著差异(P <.001),无反馈时(平均值13.1,标准差7.12)和有反馈时(平均值4.2,标准差3.97),这证明了该解决方案在提高姿势意识方面的有效性。
姿势智能背心在中风后康复训练中帮助治疗师,并协助患者在这些训练中改善姿势。