Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study.

IF 5 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2025-01-22 DOI:10.2196/55455
Amanda Polin Pereira, Olibario Jose Machado Neto, Valeria Meirelles Carril Elui, Maria da Graca Campos Pimentel
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引用次数: 0

Abstract

Background: 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.

Objective: 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.

Methods: 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.

Results: 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.

Conclusions: The Postural SmartVest aids therapists during poststroke rehabilitation sessions and assists patients in improving their posture during these sessions.

基于可穿戴智能手机的躯干姿势校正多感官反馈系统:迭代设计和受试者内研究。
背景:卒中的患病率在男性和女性中都很高,并且随着年龄的增长而上升。中风通常会导致传感器和运动问题,比如影响身体一侧的偏瘫。中风后患者需要躯干稳定练习,但由于他们的病情,保持适当的姿势可能具有挑战性。目的:我们的目标是开发姿势智能背心,这是一种经济实惠的可穿戴技术,利用智能手机内置的加速度计来监测矢状面和额平面的变化,同时提供视觉、触觉和听觉反馈,指导患者在康复过程中达到最佳姿势。方法:为了设计姿势智能背心,我们进行了头脑风暴会议,治疗师访谈,收集需求,并开发了第一个原型。我们在一项无偏瘫患者的可行性研究中使用了这个初始原型(n=40,平均年龄28.4)。他们在1个小时的静坐会议中使用了这个原型。他们的反馈导致了第二个原型,我们将其用于对中风后患者的初步研究。在使用Vicon步态插件系统进行调整和运动学评估后,第三个版本成为姿势智能背心。我们在康复期间对脑卒中后患者(n=40,平均年龄57.1)和治疗师(n=20,平均年龄31.3)进行了一项受试者内实验,评估了姿势智能背心。参与者在没有和有应用程序反馈的情况下进行日常活动,包括散步和上肢锻炼。结果:姿势智能背心包括一个改进的现成的轻量级运动压缩背心和一个透明的口袋,旨在容纳运行可定制的安卓应用程序的智能手机。该应用程序使用内置的加速度传感器持续监测矢状面和额平面的变化,通过音频,振动和颜色变化提供多感官反馈。患者在重量、舒适度、尺寸、有效性、易用性、稳定性、耐用性和易调适性方面评分较高。治疗师注意到它对康复治疗的积极影响,并表示愿意推荐它。结论:姿势智能背心在卒中后康复过程中帮助治疗师,并帮助患者在这些过程中改善他们的姿势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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