| I. System Architecture: Based on previous research, a " Smartphone-based Miniatured Blood Oxygen Imaging System" has been developed to facilitate users and patients in monitoring wound conditions at home. The circuit of the blood oxygen imaging system has been integrated and miniaturized for portability, maintaining a compact size of 7.7 cm x 11.2 cm x 3.7 cm for handheld use. Additionally, the system includes a battery and charging circuit to transform it into a portable handheld blood oxygen imaging system. An accompanying smartphone application has been designed to allow users to operate the system through their smartphones. |
|
|
|
Figure 1. Photo and Block Diagram of Miniatured Blood Oxygen Imaging System |
|
|---|---|
| II. Architecture Diagram of Internet of Things To enhance user convenience, we have integrated an AI model into the smartphone application, enabling edge computing capabilities. Additionally, to integrate data from multiple systems and facilitate remote healthcare, we have established a cloud server and developed a relational database. Using frontend and backend web languages, we have created a cloud-based tracking platform where data from different systems can be uploaded to the database via both computer-based human-machine interfaces and smartphone applications. Furthermore, the platform integrates an AI wound healing stage recognition algorithm, allowing physicians and patients to track wound recovery progress by logging into the platform. |
||
|
||
Figure 2. Architecture Diagram of Internet of Things |
||
|---|---|---|
| III. User Interface Design To facilitate user operation, the system interface must be designed to be straightforward and easy to understand. The smartphone interface design shown in Figure 2 includes the following page: (1) Login Page: Users log in to the app using their credentials. (2) Subject Selection Page: Caregivers select the patient they are currently monitoring. (3) Blood Oxygen Imaging Capture Page: Users can capture wound images and view the calculated blood oxygen images. (4) Database Page: Users can access and review historical records of wound oxygen levels over time. |
||
|
||
Figure 3. User Interface Design of Miniature Blood Oxygen Imaging System |
||
|---|---|---|
| IV. System Validation In terms of system validation, a brachial artery occlusion experiment was conducted by compressing the upper arm with a blood pressure cuff to block blood flow for ten minutes. During this experiment, images of the back of the hand were captured before compression, at the start of compression, 5 minutes into compression, before release, and after release to observe changes in blood oxygen levels. In the left image of Figure 4, the distribution and changes in blood oxygen levels of the participants during the brachial artery occlusion experiment are observed. The right image displays the average blood oxygen values on the participants' hand. It's observable that blood oxygen levels gradually decrease during compression in the brachial artery occlusion experiment and quickly recover after release. These results demonstrate that the system is capable of observing changes in blood oxygen levels. |
||
|
||
Figure 4. Experiment Results and Blood Oxygen Statistics from Brachial Artery Occlusion |
||
|---|---|---|
