Yu-Chieh Huang

A Study of the Relationship between Two Musical Rhythm Characteristics and Heart Rate Variability (HRV)

Heart rate variability (HRV) is a measure of variations in the heart rate. Over the last 25 years, HRV analysis has became more and more popular as a non-invasive research and clinical tool for indirectly investigating both cardiac and autonomic nervous system (ANS) function in both health and disease area. How the musical rhythmic characteristics, tempo and complexity, affect the performance of HRV is studied in this work. By understanding the relationship between music and the function of ANS, we can improve our life and health by music - non-invasively and simply.

A ±6ms-accuracy, 0.68mm 2 and 2.21μW QRS detection ASIC

Healthcare issues arose from population aging. Meanwhile, electrocardiogram (ECG) is a powerful measurement tool. The first step of ECG is to detect QRS complexes. A state-of-the-art QRS detection algorithm was modified and implemented. By the dedicated architecture design, the novel ASIC is proposed with 2.21 μW power consumption and 0.68mm2 core area. It is the smallest QRS detection ASIC so far in the world. In addition, the positive prediction of the ASIC is 99.36% based on the MIT/BIH arrhythmia database certification.

A computational model of the relationship between musical rhythm and heart rhythm

Heart rate variability (HRV) is a measure of variation in the heart rate. Over the last 25 years, HRV analysis has became utilized more often as a non-invasive research and clinical tool for indirectly investigating both cardiac and autonomic nervous system (ANS) functions in health and disease. In our experiment, 22 healthy subjects and four testing rhythm patterns are studied. How the three musical-rhythmic characteristics of tempo, complexity and drum sample affect the performance of HRV is discussed and a computational model with four factors is proposed. This relationship can help us to improve our life and health by music.

A biomedical entertainment platform design based on musical rhythm characteristics and heart rate variability (HRV)

Heart rate variability (HRV) is a measure of variations in the heart rate. Over the last 25 years, HRV analysis has became popular as a non-invasive research and clinical tool for indirectly investigating both cardiac and autonomic nervous system (ANS) function in both health and disease area. How the musical rhythmic characteristics, tempo and complexity, affect the performance of HRV is studied in this work. By understanding the relationship between music and the function of ANS, the novel biomedical entertainment platform is proposed and used for relaxation.

A 100 MHz 1920×1080 HD-Photo 20 frames/sec JPEG XR encoder design

A JPEG XR chip for HD-Photo is implemented with 25 mm2 area in TSMC 0.18 um CMOS 1P6M technology at 100 MHz. According to the simulation results, the 4:4:4 1920x1080 HD-Photo 20 frames/sec can be encoded smoothly.

An ultra-high-density 256-channel/25mm2 neural sensing microsystem using TSV-embedded neural probes

Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, a 256-channel/25 mm2 neural sensing microsystem is presented based on through-silicon-via (TSV) 2.5D integration. This microsystem composes of dissolvable μ-needles, TSV-embedded μ-probes, 256-channel neural amplifiers, 11-bit area-power-efficient SAR ADCs and serializers. Based on the dissolvable μ-needles and TSV 2.5D integration, this microsystem can detect 256 ECoG/LFP signals within the small area of 5mm × 5mm. Additionally, the neural amplifier realizes 57.8dB gain with only 9.8μW for each channel, and the 9.7-bit ENOB of the SAR ADC at 32kS/s can be achieved with 0.42μW and 0.036 mm2. The overall power of this microsystem is only 3.79mW for 256-channel neural sensing.

A novel 500 samples/sec 4 by 4 photoplethysmography (PPG) array based cosmetic chip design

Microcirculatory dysfunction plays a key role in the patho-physiology of various disease states. The microcirculation in the skin is in a rather complicated. With technical advances, microcirculatory monitoring nowadays becomes more and more available for application in clinical practice. The proposed cosmetic chip platform based on the photoplethysmography (PPG) is a simple and low-cost optical technique that can be used to detect blood volume changes in the micro-vascular bed of tissue.

Towards a fully integrated, wirelessly powered, and ordinarily equipped on-lens system for successive dry eye syndrome diagnosis

This paper presents a smart contact lens (SCL) sensor system for successive evaluation of tear evaporation. The proposed SCL system integrated with 3D technology is composed of tunable sensitivity sensor-readout circuitry, a tear sensor, and an antenna, and is embedded into a biocompatible hydrogel-based contact lens by a commercial manufacturing process. Moreover, the on-lens system can be addressed using commercial radio-frequency identification (RFID) reader devices for sensor control and data communication. Subjects can wear the SCL for continuous tear-content monitoring. Furthermore, the recordings from the device can provide high distinguishability in different tear phantoms using a variation of capacitance or resistance rather than using the weight loss.

An implantable 128-channel wireless neural-sensing microsystem using TSV-embedded dissolvable μ-needle array and flexible interposer

For implanted neural-sensing devices, one of the remaining challenges is to transmit stable power/data (P/D) transmission for high spatiotemporal resolution neural data. This paper presents a miniaturized implantable 128-channel wireless neural-sensing microsystem using TSV-embedded dissolvable μ-needle array, a flexible interposer and 4 dies by 2.5D/3D TSV heterogeneous SiP technology. The 4 dies are 2 neural-signal acquisition ICs implemented by 90nm CMOS, 1 neural-signal processor by 40nm CMOS and 1 wireless P/D transmission circuitry by 0.18μm CMOS. Thus, the proposed wireless microsystem realizes 128-channel neural-signal sensing within the area of 5mm × 5mm, neural feature extraction and wireless P/D transmission using an on-interposer inductor. The overall average power of the circuits in this microsystem is only 9.85mW.

A 64-channel wireless neural sensing microsystem with TSV-embedded micro-probe array for neural signal acquisition

To enhance the signal integrity of high-density neural-sensing signals, this work presents an implantable high spatial resolution μ-probe array with through-silicon via (TSV) 2.5D integration technology that realizes a miniaturized implantable device on flexible printed circuit (FPC) interposer. The proposed microsystem was composed of two 32-channel neural sensing chips and one radio frequency chip for neural signal processing. The μ-probe array can achieve better signal-to-noise ratio with neural-signal acquisition and processing circuit composed of a pseudo-resistor-based analog front-end amplifier. Moreover, a receiving antenna is also implemented on the backside of FPC for wireless data and power transmission. The feasibility of the proposed μ-probe array, Tx and Rx antenna, 32-channel neural sensing circuits in the 64-channel wireless microsystem have been successfully demonstrated for future integration and animal experiments.