Abstract: A computation apparatus, a cardiac arrhythmia assessment method thereof and a non-transitory computer-readable recording medium are provided. In the method, electrocardiography (ECG) signal is obtained. Whether the ECG signal is conformed to a first abnormal rhythm symptom is determined. Then, whether the ECG signal is conformed to a second abnormal rhythm symptom different from the first abnormal rhythm symptom is determined based on the determined result of the first abnormal rhythm symptom. Accordingly, multiple abnormal rhythm assessments are integrated, the subsequent assessment is speeded-up and optimized according to the determined result of a previous assessment, so as to enable to implement on a handheld apparatus.

Abstract: A transfer printing paper is provided. The transfer printing paper includes a release layer and a conductive layer. The conductive layer is formed on the release layer and is suitable for being transferred to a flexible material layer. After being transferred to the flexible material layer, the conductive layer is configured to be electrically in contact with a wearer wearing the flexible material layer, so as to conduct a physiological signal of the wearer.

Abstract: A computation apparatus, a cardiac arrhythmia assessment method thereof and a non-transitory computer-readable recording medium are provided. In the method, electrocardiography (ECG) signal is obtained. Whether the ECG signal is conformed to a first abnormal rhythm symptom is determined. Then, whether the ECG signal is conformed to a second abnormal rhythm symptom different from the first abnormal rhythm symptom is determined based on the determined result of the first abnormal rhythm symptom. Accordingly, multiple abnormal rhythm assessments are integrated, the subsequent assessment is speeded-up and optimized according to the determined result of a previous assessment, so as to enable to implement on a handheld apparatus.

Abstract: A wearable device capable of recognizing sleep stage including a processor, an electrocardiogram sensor, an acceleration sensor and an angular acceleration sensor is provided. The processor trains a neural network module. The electrocardiogram sensor generates an electrocardiogram signal. The processor analyzes the electrocardiogram signal to generate a plurality of first characteristic values. The acceleration sensor generates an acceleration signal. The processor analyzes the acceleration signal to generate a plurality of second characteristic values. The angular acceleration sensor generates an angular acceleration signal. The processor analyzes the angular acceleration signal to generate a plurality of third characteristic values. The processor utilizes the trained neural network module to perform a sleep stage recognition operation according to the first characteristic values, the second characteristic values and the third characteristic values, so as to obtain a sleep stage recognition result.

Abstract: A wearable device capable of detecting sleep apnea comprising a processor and an electrocardiogram sensor is provided. The processor trains a neural network module to create a sleep apnea detection model. An electrocardiogram sensor senses an electrocardiogram signal of a sleep situation. The processor analyzes the electrocardiogram signal to detect a plurality of R-waves in the electrocardiogram signal. The processor performs an R-wave amplitude analysis operation, an R-wave angle analysis operation, and a heart rate variability analysis operation according to the R-waves to obtain a plurality of characteristic values. The processor utilizes the trained sleep apnea detection model to perform a sleep apnea detection operation based on the characteristic values, so as to detect whether the sleep situation has a sleep apnea event.

Abstract: A wearable device capable of recognizing doze-off stage including a processor and an electrocardiogram sensor is provided. The processor trains a neural network module. The processor is coupled to the electrocardiogram sensor. The electrocardiogram sensor is configured to generate an electrocardiogram signal. The processor performs a heart rate variability analysis operation and a R-wave amplitude analysis operation to analyze a heart beat interval variation of the electrocardiogram signal, so as to generate a plurality of characteristic values. The processor utilizes the trained neural network module to perform a doze-off stage recognition operation according to the characteristic values, so as to obtain a doze-off stage recognition result. In addition, a recognition method is also provided.

Abstract: A transfer printing paper is provided. The transfer printing paper includes a release layer and a conductive layer. The conductive layer is formed on the release layer and is suitable for being transferred to a flexible material layer. After being transferred to the flexible material layer, the conductive layer is configured to be electrically in contact with a wearer wearing the flexible material layer, so as to conduct a physiological signal of the wearer.

Abstract: A hydrophilic dressing including a base layer, a hydrophilic dressing layer and an anti-sticking layer is provided. The hydrophilic dressing layer is disposed on the base layer. The anti-sticking layer covers on a part of the hydrophilic dressing layer. While the hydrophilic dressing layer absorbs a great amount of exudate from wound, the anti-sticking layer of the hydrophilic dressing can separate avalanched hydrophilic dressing from skin. Therefore, when the hydrophilic dressing is removed, the avalanched hydrophilic dressing would not remain on the skin.

Abstract: An adhesive wound patch is provided. The adhesive wound patch includes a covering layer, a dressing layer, a releasing paper and a supporting layer. A pressure sensitive adhesive is coated on an inner surface of the covering layer, and the pressure sensitive adhesive with stickiness may adhere to the surrounding skin tightly. The dressing layer covers the pressure sensitive adhesive, the covering layer includes waterproof-breathable material, and the dressing layer includes hydro-absorbent material. The releasing paper includes separated first and second portions, and covers the entire covering layer. The supporting layer sticks to the covering layer, and has an ear portion, which is in the middle part of one side of the supporting layer and protrudes beyond the edge of the covering layer. After the dressing layer is adhered to the wound, the supporting layer is separated from the covering layer by tearing off the ear portion.

Abstract: The present invention relates to a method for biomolecule immobilization, comprising: providing a substrate; forming a surface modification layer of carboxy groups on one surface of the substrate, wherein the process for forming the surface modification layer comprises plasma surface modification; and providing pluralities of biomolecules and bonding the biomolecules with the surface modification layer. Accordingly, the method for biomolecule immobilization of the present invention can reduce manufacturing time and enhance the stability of manufacture. In addition, the method can be employed in a biosensor to efficiently enhance sensitivity of the biosensor.