Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Microbial Biosensors

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

Signal and System

Signal and System

A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...

Bacterial Signaling

Bacterial Signaling

Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

[The Influence of COVID-19 Infection on the Mobilization and Collection of Autologous Peripheral Blood Stem Cells in Patients with Multiple Myeloma].

Zhongguo shi yan xue ye xue za zhi·2025

Same author

Thermoplasmonic Regulation and <i>In Situ</i> Detection of Biomolecules with a Photothermal-Enhanced Plasmonic Biosensing System.

ACS nano·2025

Same author

Bortezomib, Mitoxantrone Hydrochloride Liposome, and Dexamethasone for Relapsed/Refractory Multiple Myeloma: A Multi-Center, Open-Label Phase I Trial.

Cancer medicine·2025

Same author

Transcranial vibration stimulation at 40 Hz induced neural activity and promoted the coupling of global brain activity and cerebrospinal fluid flow.

NeuroImage·2025

Same author

Measurement of biomechanical properties of transversely isotropic biological tissue using traveling wave expansion.

Medical image analysis·2025

Same author

Thermally Drawn Shape and Stiffness Programmable Fibers for Medical Devices.

Advanced healthcare materials·2024

Search research articles

Related Experiment Video

Updated: May 9, 2026

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

A Wireless Biomedical Signal Interface System-on-Chip for Body Sensor Networks.

Lei Wang, Guang-Zhong Yang, Jin Huang

IEEE Transactions on Biomedical Circuits and Systems

|July 16, 2013

Summary

This study presents a novel mixed-signal chip for autonomous body sensor networks (BSN). The integrated system supports wearable and implantable applications for health monitoring and connectivity.

More Related Videos

Multi-analyte Biochip (MAB) Based on All-solid-state Ion-selective Electrodes (ASSISE) for Physiological Research

Multi-analyte Biochip (MAB) Based on All-solid-state Ion-selective Electrodes (ASSISE) for Physiological Research

Published on: April 18, 2013

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

Related Experiment Videos

Last Updated: May 9, 2026

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

Multi-analyte Biochip (MAB) Based on All-solid-state Ion-selective Electrodes (ASSISE) for Physiological Research

Multi-analyte Biochip (MAB) Based on All-solid-state Ion-selective Electrodes (ASSISE) for Physiological Research

Published on: April 18, 2013

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

Area of Science:

Biomedical Engineering
Electrical Engineering
Computer Engineering

Background:

Advancements in biosensor technology, system-on-chip design, and wireless communication are enabling new possibilities in healthcare.
Autonomous body sensor networks (BSN) integrate these technologies for enhanced well-being monitoring, medical diagnostics, and personal connectivity.

Purpose of the Study:

To demonstrate the first fully customized mixed-signal silicon chip designed for wearable or implantable body sensor networks (BSN).
To integrate essential components for autonomous BSN operation onto a single chip.

Main Methods:

Development of a mixed-signal silicon chip incorporating intellectual property blocks.
Inclusion of low-power analog sensor interfaces (temperature, pH), data multiplexing and conversion, an 8-bit microcontroller-based digital platform, spread-spectrum wireless data encoding, and a minimal RF section.
Full evaluation and testing of the chip connected to external sensors.

Main Results:

The developed chip integrates key functionalities required for a body sensor network (BSN).
The chip features low-power analog interfaces, digital processing, and wireless transmission capabilities with minimal external components.
Testing confirmed the chip meets typical system requirements for BSN applications.

Conclusions:

The demonstrated mixed-signal chip represents a significant advancement for creating autonomous, wearable, and implantable body sensor networks (BSN).
This integrated solution facilitates improved well-being monitoring, medical diagnostics, and personal connectivity through advanced BSN technology.