Clinical Medicine, School of Medicine and Population Health, The Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK.
British Heart Foundation Data Science Centre, Health Data Research, London WC1E 6BP, UK.
Sensors (Basel). 2023 Sep 28;23(19):8154. doi: 10.3390/s23198154.
Physical activity and cardiovascular disease (CVD) are intimately linked. Low levels of physical activity increase the risk of CVDs, including myocardial infarction and stroke. Conversely, when CVD develops, it often reduces the ability to be physically active. Despite these largely understood relationships, the objective measurement of physical activity is rarely performed in routine healthcare. The ability to use sensor-based approaches to accurately measure aspects of physical activity has the potential to improve many aspects of cardiovascular healthcare across the spectrum of healthcare, from prediction, prevention, diagnosis, and treatment to disease monitoring. This review discusses the potential of sensor-based measurement of physical activity to augment current cardiovascular healthcare. We highlight many factors that should be considered to maximise the benefit and reduce the risks of such an approach. Because the widespread use of such devices in society is already a reality, it is important that scientists, clinicians, and healthcare providers are aware of these considerations.
体力活动与心血管疾病（CVD）密切相关。体力活动水平低会增加 CVD 的风险，包括心肌梗死和中风。相反，当 CVD 发生时，它往往会降低身体活动的能力。尽管这些关系已基本被理解，但在常规医疗保健中很少进行体力活动的客观测量。使用基于传感器的方法准确测量体力活动各个方面的能力有可能改善从预测、预防、诊断和治疗到疾病监测的整个心血管医疗保健的许多方面。这篇综述讨论了基于传感器的体力活动测量方法对增强当前心血管医疗保健的潜力。我们强调了许多应该考虑的因素，以最大限度地提高这种方法的益处并降低风险。由于此类设备在社会中的广泛使用已经成为现实，因此科学家、临床医生和医疗保健提供者了解这些注意事项非常重要。
