Remote Monitoring and Analysis of Gait and Falls Within an Elderly Population
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 40
- 主要终点
- Validation of gait analysis algorithm by use of Inertial Measurement Unit (IMU)
研究概览
简要总结
The investigators aim to do this initial pilot study as an observational prospective cohort study, evaluating elderly patients who have capacity in National Health Service (NHS) rehabilitation and community hospitals. The patients will each be recorded doing simple activities of daily living in two 2 hour sessions using a discrete wireless device. This will generate anonymous data set that can be used to train and refine our machine learning algorithm.
详细描述
Phase 1 - Creation The creation of a databank of measurements during stereotypical actions of daily living.
Population recruited (P1 recruits) Patients to complete a demographic questionnaire based on historical falls risk data.
Recruited patients allocated to a mobility/independence subgroup based on the information obtained from the demographic questionnaire completed at the time of recruitment.
Patients may be reclassified to different subgroups to redistribute them according to other factors including frailty, exercise tolerance, balance etc.
Patients given a structured scripted set of simple activities to carry out (such as walking, sitting and picking something off the floor etc.) to cover as many activities of daily of living as possible.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 65 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Aged over 65 years of age
- •Able to give informed consent
- •Able to mobilise independently or with mobility aid (walking stick, Zimmer frame etc.)
排除标准
- •Patients under the age of
- •Patients who are bedbound or wheelchair bound.
- •Patients with cognitive impairment and are unable to give informed consent.
- •Significant medical co-morbidities that make participation in the study unsafe.
结局指标
主要结局
Validation of gait analysis algorithm by use of Inertial Measurement Unit (IMU)
时间窗: 3 months
Validation of a motion analysis algorithm to predict falls risk in an elderly population using IMU data captured from accelerometers and gyroscopes within the IMU. The IMU will allow capture of data from wearers gait and movement.
次要结局
未报告次要终点
研究者
Kalon Hewage
Co-Founder, Director
CUSH Health Ltd.