I. Introduction
In recent years, the safety of patients has become an important concern. Among the many indicators of healthcare quality in medical institutions, the circumstances of unplanned extubation are always crucial. Therefore, the detection of hand movements to prevent and reduce the occurrence of the unplanned extubation of patients is a crucial concern in medical institutions. Various systems, such as infrared sensing identification systems [1], [2], accelerometer identification systems [3]–[9], and surface electromyography [10]–[16], have been used to detect hand movements. Although excellent results have been obtained in previous studies, some concerns have not been considered. For example, suitable interface circuits must be operated at environmentally high dynamic range (DR), have a rapid response to computers or controllers, have no limitations of the field-of-view, and be immune to ambient light noise (shot noise and interference) [17], [18]. In this study, a suitable converter with the aforementioned characteristics was investigated. Table 1 presents a comparison of the proposed approach with previous designs. Comparing to previous studies [1]–[16], this research proposes an approach to avoid disturbance from ambient optical noise without limitations of the field-of-view. By using the proposed method, information, regarding the distance between an IR light source and the proposed converter can be clearly transmitted to Internet of Things (IoT) devices. Comparisons to Previous Designs
[1] | [8] | [14] | This Work | |
---|---|---|---|---|
Method | IR sensing | Accelerometer | sEMG | IR sensing |
With functionality of ambient light noise removal | No | No | No | Yes |
With limitations of the field-of-view | Yes | No | No | No |
With considerations of the movement position of hand | No | Yes | Yes | No |
With considerations of the distance between infrared light source and sensing chip | Yes | No | No | Yes |
With integrated photosensors | Yes | No | No | Yes |