Changes in heart rate variability at rest and during exercise in patients after a stroke: a feasibility study.

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Jittima Saengsuwan, Lars Brockmann, Corina Schuster-Amft, Kenneth J Hunt
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Abstract

The aim of this study was to evaluate the feasibility of using a biofeedback-enhanced robotics-assisted tilt table (RATT) to investigate time- and intensity-dependent changes in heart rate variability (HRV) at rest and during heart rate-controlled exercise in patients recovering from a stroke. Twelve patients (age 55.3 years ± 15.6 years, 7 women) completed two separate measurement sessions. The first involved familiarization and system identification to determine parameters of a feedback system for automatic control of heart rate (HR). The second comprised 14 min of rest and 21 min of active exercise during which HR was held constant using feedback control to eliminate cardiovascular drift. HR data were collected using a chest-belt HR sensor, and raw RR intervals were employed for HRV analysis during periods of rest (0-7 min and 7-14 min) and exercise (5-13 min and 13-21 min). A biofeedback-enhanced, robotics-assisted tilt table can be successfully employed to perform heart rate-controlled exercises in patients after a stroke. All HRV metrics were substantially lower during exercise compared to rest. In the rest period, HRV values during 0-7 min were lower than during 7-14 min, in line with a slight HR decrease over the entire rest period. During exercise, HRV values during 5-13 min were higher than during 13-21 min, suggesting a time-dependent HRV decrease. All HRV metrics exhibited intensity- and time-dependent changes: higher HRV at rest and decreasing HRV over time. Understanding these HRV characteristics will support the development of heart rate-controlled exercise regimens and protocols for examining HRV changes during exercise in patients.

中风患者休息和运动时心率变异性的变化:一项可行性研究
本研究的目的是评估使用生物反馈增强的机器人辅助倾斜台(RATT)来研究中风患者休息时和心率控制运动期间心率变异性(HRV)的时间和强度依赖性变化的可行性。12例患者(年龄55.3岁±15.6岁,7例女性)完成了两次单独的测量。首先是熟悉和系统识别,以确定自动控制心率(HR)的反馈系统的参数。第二组包括14分钟的休息和21分钟的积极运动,在此期间,心率保持不变,使用反馈控制来消除心血管漂移。使用胸带心率传感器收集心率数据,并采用原始RR间隔在休息(0-7 min和7-14 min)和运动(5-13 min和13-21 min)期间进行心率分析。一种生物反馈增强的机器人辅助倾斜台可以成功地用于中风后患者的心率控制运动。所有HRV指标在运动时都明显低于休息时。在休息期间,0-7 min的HRV值低于7-14 min,与整个休息期间的HR略有下降一致。在运动过程中,HRV值在5-13 min高于13-21 min,表明HRV下降与时间有关。所有HRV指标都表现出强度和时间相关的变化:静止时HRV升高,随着时间的推移HRV降低。了解这些HRV特征将有助于制定心率控制运动方案和检查患者运动过程中HRV变化的方案。
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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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