ECG devices are increasingly used in the monitoring and timely detection of cardiovascular abnormalities. One of the biggest challenges for ECG device designers is to eliminate noise from the surrounding environment to obtain high-quality and real-time ECG signals. A microcontroller usually has low processing speed, so it is not appropriate for real-time processing of ECG signals with high sampling frequency. Processing continuous signals requires a high processing speed or processor that can be used with many partial processing hierarchies. In 2018, Microchip Technology Inc. launched a new family of 16-bit digital signal controllers (DSCs) with two cores: the master core can be operated at 180 MHz and the slave core can be operated at 200 MHz. The new DSC family is suitable for mobile application systems, such as ECG devices, which can collect and process data in real time with a process hierarchy. In this paper, we present an application of the two cores of DSCs in collecting and processing ECG signals in real time. In addition, we implement an infinite impulse response (IIR) filter to eliminate noise from the surrounding environment. Specifically, the master core collects and implements a high-pass IIR filter with five poles, and the slave core implements the low-pass IIR filter with seven poles and sampling frequency of ECG signals up to 400 Hz.

In this study, a photoacoustic microscopy (PAM) system based on a multifocal point (MFP) transducer was fabricated to produce a large depth-of-field tissue image. The customized MFP transducer has seven focal points, distributed along with the transducer’s axis, fabricated by separate spherically-focused surfaces. These surfaces generate distinct focal zones that are overlapped to extend the depth-of-field. This design allows extending the focal zone of 10 mm for the 11 MHz MFP transducer, which is a great improvement over the 0.48 mm focal zone of the 11 MHz single focal point (SFP) transducer. The PAM image penetration depths of a chicken-hemoglobin phantom using SFP and MFP transducers were measured as 5 mm and 8 mm, respectively. The significant increase in the PAM image-based penetration depth of the chicken-hemoglobin phantom was a result of using the customized MFP transducer.

In this study, we report an advanced fabrication technique to develop a miniature focused needle transducer. Two different types of high-frequency (100 MHz) transducers were fabricated using the lead magnesium niobate-lead titanate (PMN-0.3PT) and lithium niobate (LiNbO₃) single crystals. In order to enhance the transducer’s performance, a unique mass–spring matching layer technique was adopted, in which gold and parylene play the roles of the mass layer and spring layer, respectively. The PMN-0.3PT transducer had a 103 MHz center frequency with a −6 dB bandwidth of 52%, and a signal-to-noise ratio (SNR) of 42 dB. The center frequency, −6 dB bandwidth, and SNR of the LiNbO₃ transducer were 105 MHz, 66%, and 44 dB, respectively. In order to compare and evaluate the transducers’ performances, an ultrasonic biomicroscopy (UBM) imaging on the fish eye was performed. The results showed that the LiNbO₃ transducer had a better contrast resolution compared to the PMN-0.3PT transducer. The fabricated transducer showed an excellent performance with high-resolution corneal epithelium imaging of the experimental fish eye. These interesting findings are useful for the future biomedical implementation of the fabricated transducers in the field of high-resolution ultrasound imaging and diagnosis purpose.

Schematic representation of Au loading on the surface of HAp doped Mn conjugated with FA and ICG fluorescence dye for enhanced cancer cell eradication through PTT/PDT.

This study presents the design and implementation of a compact data acquisition system for immersive ultrasonic inspection of small-diameter pipelines, targeting applications where conventional systems are impractical due to size constraints. The system integrates the Eclipse Z7 platform with a customized pulser-receiver module and a rotary pipeline inspection gauge (PIG) equipped with a 5 MHz immersion-type ultrasonic transducer. The PIG module is designed to scan pipelines with an 8.18 mm wall thickness and a 200 mm inner diameter. Before deployment, real-time system calibration is performed via a connected computer interface to ensure optimal performance. Once inside the pipeline, the PIG operates autonomously, with ultrasonic data being acquired and stored locally on a Raspberry Pi. Post-inspection, the recorded data is extracted and analyzed on the computer to assess pipeline integrity. The proposed system offers a compact alternative to commercial solutions, particularly in scenarios involving limited access and small-diameter pipelines.