An ultra-low-power area-efficient non-coherent binary phase-shift keying demodulator for implantable biomedical microsystems

A novel non-coherent, low-power, area-efficient binary phase-shift keying demodulator for wireless implantable biomedical microsystems is proposed. The received data and synchronized clock signal are detected using a delayed digitized format of the input signal. The proposed technique does not require any kind of oscillator circuit, and due to the synchronization of all circuit signals, the proposed demodulator can work in a wide range of biomedical data telemetry common frequencies in different process/temperature corners. The presented circuit has been designed and post-layout-simulated in a standard 0.18 µm CMOS technology and occupies 17 × 27 µm2 of active area. Post-layout simulation results indicate that with a 1.8 V power supply, power consumption of the designed circuit is 8.5 µW at a data rate of 20 Mbps. The presented demodulation scheme was also implemented on a proof-of-concept circuit board for verifying its functionality

A sub-threshold differential cmos schmitt trigger with adjustable hysteresis based on body bias technique

This paper presents a sub-threshold differential CMOS Schmitt trigger with tunable hysteresis, which can be used to enhance the noise immunity of low-power electronic systems. By exploiting the body bias technique to the positive feedback transistors, the hysteresis of the proposed Schmitt trigger is generated, and it can be adjusted by the applied bias voltage to the bulk terminal of the utilized PMOS transistors. The principle of operation and the main formulas of the proposed circuit are discussed. The circuit is designed in a 0.18-μm standard CMOS process with a 0.6 V power supply. Post-layout simulation results show that the hysteresis width of the Schmitt trigger can be adjusted from 45.5 mV to 162 mV where the ratio of the hysteresis width variation to supply voltage is 19.4%. This circuit consumes 10.52 × 7.91 μm2 of silicon area, and its power consumption is only 1.38 μW, which makes it a suitable candidate for low-power applications such as portable electronic, biomedical, and bio-implantable systems

A four‐stage yield optimization technique for analog integrated circuits using optimal computing budget allocation and evolutionary algorithms

Abstract A high yield estimation is necessary for designing analogue integrated circuits. In the Monte‐Carlo (MC) method, many transistor‐level simulations should be performed to obtain the desired result. Therefore, some methods are needed to be combined with MC simulations to reach high yield with high speed at the same time. In this paper, a four‐stage yield optimisation approach is presented, which employs computational intelligence to accelerate yield estimation without losing accuracy. Firstly, the designs that met the desired characteristics are provided using critical analysis (CA). The aim of utilising CA is to avoid unnecessary MC simulations repeating for non‐critical solutions. Then in the second and third stages, the shuffled frog‐leaping algorithm and the Non‐dominated Sorting Genetic Algorithm‐III are proposed to improve the performance. Finally, MC simulations are performed to present the final result. The yield value obtained from the simulation results for two‐stage class‐AB Operational Transconductance Amplifer (OTA) in 180 nm Complementary Metal‐Oxide‐Semiconductor (CMOS) technology is 99.85%. The proposed method has less computational effort and high accuracy than the MC‐based approaches. Another advantage of using CA is that the initial population of multi‐objective optimisation algorithms will no longer be random. Simulation results prove the efficiency of the proposed technique

An Ultra-Low-Power Area-Efficient Non-Coherent Binary Phase-Shift Keying Demodulator for Implantable Biomedical Microsystems

A novel non-coherent, low-power, area-efficient binary phase-shift keying demodulator for wireless implantable biomedical microsystems is proposed. The received data and synchronized clock signal are detected using a delayed digitized format of the input signal. The proposed technique does not require any kind of oscillator circuit, and due to the synchronization of all circuit signals, the proposed demodulator can work in a wide range of biomedical data telemetry common frequencies in different process/temperature corners. The presented circuit has been designed and post-layout-simulated in a standard 0.18 μm CMOS technology and occupies 17 × 27 μm2 of active area. Post-layout simulation results indicate that with a 1.8 V power supply, power consumption of the designed circuit is 8.5 μW at a data rate of 20 Mbps. The presented demodulation scheme was also implemented on a proof-of-concept circuit board for verifying its functionality

Splicing defect in FKBP10 gene causes autosomal recessive osteogenesis imperfecta disease: a case report

Abstract Background Osteogenesis imperfecta (OI) is a group of connective tissue disorder caused by mutations of genes involved in the production of collagen and its supporting proteins. Although the majority of reported OI variants are in COL1A1 and COL1A2 genes, recent reports have shown problems in other non-collagenous genes involved in the post translational modifications, folding and transport, transcription and proliferation of osteoblasts, bone mineralization, and cell signaling. Up to now, 17 types of OI have been reported in which types I to IV are the most frequent cases with autosomal dominant pattern of inheritance. Case Presentation Here we report an 8- year- old boy with OI who has had multiple fractures since birth and now he is wheelchair-dependent. To identify genetic cause of OI in our patient, whole exome sequencing (WES) was carried out and it revealed a novel deleterious homozygote splice acceptor site mutation (c.1257-2A > G, IVS7-2A > G) in FKBP10 gene in the patient. Then, the identified mutation was confirmed using Sanger sequencing in the proband as homozygous and in his parents as heterozygous, indicating its autosomal recessive pattern of inheritance. In addition, we performed RT-PCR on RNA transcripts originated from skin fibroblast of the proband to analyze the functional effect of the mutation on splicing pattern of FKBP10 gene and it showed skipping of the exon 8 of this gene. Moreover, Real-Time PCR was carried out to quantify the expression level of FKBP10 in the proband and his family members in which it revealed nearly the full decrease in the level of FKBP10 expression in the proband and around 75% decrease in its level in the carriers of the mutation, strongly suggesting the pathogenicity of the mutation. Conclusions Our study identified, for the first time, a private pathogenic splice site mutation in FKBP10 gene and further prove the involvement of this gene in the rare cases of autosomal recessive OI type XI with distinguished clinical manifestations

Association of alcohol consumption with the prevalence and various stages of chronic kidney disease

Background: Considering that the effect of alcohol consumption trend on the prevalence of kidney damage and its progression has not been determined yet, the study aimed at investigating the association between alcohol consumption and the risk of chronic kidney disease (CKD) prevalence and progression at various stages of the disease. Materials and Methods: This cross-sectional study was performed on 3374 participants that referred to health-care centers in Isfahan from 2017 to 2019. Participants' basic and clinical characteristics (such as sex, age, education level, marital status, body mass index, blood pressure, alcohol consumption, comorbidities, and laboratory parameters) were evaluated and recorded. The alcohol consumption trend was classified as never, occasional ( 0.05) and the odds of stage 2 CKD prevalence as compared to stage 1 CKD prevalence (OR: 0.93 and 0.47; P > 0.05). However, adjusting the confounding factors revealed that occasional drinking as compared to nondrinking increased the odds of stage 3 and 4 CKD prevalence as compared to stage 1 CKD prevalence by 3.35 folds, respectively (P < 0.05). Conclusion: According to the results of this study, occasional drinking as compared to nondrinking significantly increased the odds of stage 3 and 4 CKD prevalence as compared to stage 1 CKD prevalence

Lipid Profile Status in Mustard Lung Patients and its Relation to Severity of Airflow Obstruction

Introduction: Chronic obstructive pulmonary disease (COPD) secondary to sulfur mustard gas poisoning, known as mustard lung, is a major late pulmonary complications in chemical warfare patients. Serious comorbidities like dyslipidemia are frequently encountered in COPD. The aim of this study was to measure the serum lipid profile and evaluate the relation of lipid parameters with the severity of airway obstruction in mustard lung patients. Materials and Methods: Thirty-six non-smoker mustard lung patients with no history of cardiovascular disease, diabetes mellitus, and dyslipidemia were entered into this cross-sectional study. Control group consisted of 36 healthy non-smoker men were considered in this study. Serum lipid profile was performed in the patients and the controls. Spirometry was done in mustard lung patients. Results: The mean age of the patients was 47±6.80 SD years. The mean duration of COPD was 18.50±7.75 SD years. There were statistically significant differences in mean serum triglycerides and total cholesterol levels between patients and controls (p=0.04 and p=0.03, respectively).The mean levels of lipid parameters were not statistically significant different among the 4 stages of COPD severity (p>0.05). Conclusion: The current study revealed that the serum levels of triglycerides and cholesterol are elevated in mustard lung patients compared with the healthy controls. Since lipid profile abnormalities are considered as a major risk factor for cardiovascular disease, especial attention to this matter is recommended in mustard lung patient

Additional file 1: of Splicing defect in FKBP10 gene causes autosomal recessive osteogenesis imperfecta disease: a case report

Material and Methods, two supplementary tables, Description of data: Detail description of Fibroblast culture, Isolation of PBMCs and Quantitative RT-PCR. Table S1. List of all genes involved in Osteogenesis imperfecta. Table S2. Bioinformatics analysis statistics. (DOCX 25 kb

Wireless, miniaturized, semi-implantable electrocorticography microsystem validated in vivo

This paper reports on the design, development, and test of a multi-channel wireless micro-electrocorticography (µECoG) system. The system consists of a semi-implantable, ultra-compact recording unit and an external unit, interfaced through a 2.4 GHz radio frequency data telemetry link with 2 Mbps (partially used) data transfer rate. Encased in a 3D-printed 2.9 cm × 2.9 cm × 2.5 cm cubic package, the semi-implantable recording unit consists of a microelectrode array, a vertically-stacked PCB platform containing off-the-shelf components, and commercially-available small-size 3.7-V, 50 mAh lithium-ion batteries. Two versions of microelectrode array were developed for the recording unit: a rigid 4 × 2 microelectrode array, and a flexible 12 × 6 microelectrode array, 36 of which routed to bonding pads for actual recording. The external unit comprises a transceiver board, a data acquisition board, and a host computer, on which reconstruction of the received signals is performed. After development, assembly, and integration, the system was tested and validated in vivo on anesthetized rats. The system successfully recorded both spontaneous and evoked activities from the brain of the subject.ISSN:2045-232