Yu Fei, Bilberg Arne, Stenager Egon
Mads Clausen Institute, Faculty of Engineering, University of Southern Denmark, 6400 Sønderborg, Denmark.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3763-7. doi: 10.1109/IEMBS.2010.5627530.
This paper presents our experience with developing a portable wireless medical sensor device. We use National Instruments (NI) devices and LabView for measurements studying fatigue of patients suffering multiple sclerosis (MS). Fatigue is a very frequent symptom perceived by MS patients, but the disease mechanism is poorly understood. Many efforts have been made to increase the understanding of this complex phenomenon. It has been found that fatigue might be associated with abnormalities in various anatomical brain areas. Also some secondary factors, not directly related to the disease, such as depression, sleep disorder, severe pain, use of medication and psychological factors might be of importance. However, the relationship with physiological parameters and motion activities in MS patients with fatigue across time are still unknown. Therefore, we hypothesize that we could provide a new assessment of fatigue in MS besides the questionnaires that are currently employed. Furthermore we can discover more secondary factors contributing to fatigue by measuring and monitoring a battery of physiological parameters over an extended time span (e.g. 48 hours) in MS patients without disturbing their normal life behavior. We have developed wireless medical sensor devices and conducted the following, namely Electrocardiograph, body skin temperature, eye movement detection, Electromyograph, motion detection, and muscle strength. In this paper, we describe the technology and design procedures of each measurement and present data from the first two test patients.
本文介绍了我们开发便携式无线医疗传感器设备的经验。我们使用美国国家仪器公司（NI）的设备和LabView进行测量，以研究多发性硬化症（MS）患者的疲劳情况。疲劳是MS患者非常常见的症状，但对其发病机制了解甚少。人们已经做出了许多努力来增进对这一复杂现象的理解。研究发现，疲劳可能与大脑各个解剖区域的异常有关。此外，一些与疾病无直接关联的次要因素，如抑郁、睡眠障碍、剧痛、药物使用和心理因素等，也可能很重要。然而，MS疲劳患者的生理参数与运动活动随时间的关系仍不明确。因此，我们假设，除了目前使用的问卷之外，我们可以提供一种对MS疲劳的新评估方法。此外，通过在不干扰MS患者正常生活行为的情况下，在较长时间跨度（例如48小时）内测量和监测一系列生理参数，我们可以发现更多导致疲劳的次要因素。我们开发了无线医疗传感器设备，并进行了以下测量，即心电图、身体皮肤温度、眼动检测、肌电图（EMG）、运动检测和肌肉力量。在本文中，我们描述了每项测量的技术和设计程序，并展示了前两名测试患者的数据。
