Vafaie Mohammad Hossein, Ahmadi Beni Ebrahim
Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
J Med Signals Sens. 2024 Feb 14;14:3. doi: 10.4103/jmss.jmss_47_22. eCollection 2024.
In this article, a patient monitoring system is proposed that is able to obtain heart rate and oxygen saturation (SpO) levels of patients, identify abnormal conditions, and inform emergency status to the nurses. The proposed monitoring system consists of smart patient wristbands, smart nurse wristbands, central monitoring user interface (UI) software, and a wireless communication network. In the proposed monitoring system, a unique smart wristband is dedicated to each of the patients and nurses. To measure heart rate and SpO level, a pulse oximeter sensor is used in the patient wristbands. The output of this sensor is transferred to the wristband's microcontroller where heart rate and SpO are calculated through advanced signal processing algorithms. Then, the calculated values are transmitted to central UI software through a wireless network. In the UI software, received values are compared with their normal values and a predefined message is sent to the nurses' wristband if an abnormal condition is identified. Whenever this message is received by a nurse's wristband, an acoustic alarm with vibration is generated to inform an emergency status to the nurse. By doing so, health services are delivered to the patients more quickly and as a result, the probability of the patient recovery is increased effectively.
本文提出了一种患者监测系统，该系统能够获取患者的心率和血氧饱和度（SpO）水平，识别异常情况，并将紧急状态通知护士。所提出的监测系统由智能患者腕带、智能护士腕带、中央监测用户界面（UI）软件和无线通信网络组成。在所提出的监测系统中，为每个患者和护士都配备了独特的智能腕带。为了测量心率和SpO水平，患者腕带中使用了脉搏血氧仪传感器。该传感器的输出被传输到腕带的微控制器，在那里通过先进的信号处理算法计算心率和SpO。然后，计算出的值通过无线网络传输到中央UI软件。在UI软件中，接收到的值与正常值进行比较，如果识别出异常情况，就会向护士腕带发送预定义的消息。每当护士腕带接收到此消息时，就会产生带有振动的声音警报，以向护士通知紧急状态。通过这样做，可以更快地为患者提供医疗服务，从而有效提高患者康复的概率。
