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

Equipments Used To Measure Blood Pressure

Equipments Used To Measure Blood Pressure

Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...

Pulse Oximetry

Pulse Oximetry

Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...

Assessing Blood pressure using a doppler ultrasound

Assessing Blood pressure using a doppler ultrasound

To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:

You might also read

Related Articles

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

Sort by

Same author

Computational and Memory Efficiency in Heartbeat Rate Detection: A Review of ECG and PPG Techniques.

Sensors (Basel, Switzerland)·2026

Same author

Correction: Evaluating the effectiveness of integrating biofeedback in the treatment of aggressive outbursts (BRET-IA2): A study protocol.

PloS one·2025

Same author

A Single-Button Mobility Platform for Cause-Effect Learning in Children with Cerebral Palsy: A Pilot Study.

Children (Basel, Switzerland)·2025

Same author

Evaluating the effectiveness of integrating biofeedback in the treatment of aggressive outbursts (BRET-IA2): A study protocol.

PloS one·2025

Same author

Emotional State Measurement Trial (EMOPROEXE): A Protocol for Promoting Exercise in Adults and Children with Cerebral Palsy.

Journal of personalized medicine·2024

Same author

Physical Activity in Cerebral Palsy: A Current State Study.

Healthcare (Basel, Switzerland)·2024

Search research articles

Related Experiment Video

Updated: Jan 9, 2026

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

Denoising Physiological Signals: Assessment, Techniques, and Wearable Implementation.

Alberto J Molina-Cantero, J Rafael Luque-Giraldez, Gemma Sanchez-Anton

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 3, 2025

Summary

This summary is machine-generated.

This study examines denoising physiological signals, finding skin temperature is robust to motion artifacts, while EEG and ECG require artifact removal for wearable monitoring during physical activity.

More Related Videos

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

Related Experiment Videos

Last Updated: Jan 9, 2026

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

Area of Science:

Biomedical Engineering
Signal Processing
Wearable Technology

Background:

Motion artifacts significantly contaminate physiological signals during physical activity, particularly impacting individuals with disabilities.
Effective denoising is crucial for reliable physiological monitoring in wearable systems.
Assessing computational cost and necessity of denoising techniques is vital for practical implementation.

Purpose of the Study:

To evaluate the impact of motion artifacts on various physiological signals during exercise.
To analyze the computational cost and power consumption of different denoising methods.
To identify efficient denoising strategies for low-power wearable devices.

Main Methods:

Collected a database of physiological signals (EEG, ECG, skin temperature) during diverse physical activities.
Reviewed and analyzed computational costs of various signal denoising techniques.
Tested power consumption of denoising algorithms at different complexity levels and sampling rates.

Main Results:

Skin temperature signals showed high immunity to motion artifacts.
Electroencephalography (EEG) and electrocardiography (ECG) signals were significantly affected by movement, with jumping causing the most contamination.
Power consumption varied based on denoising technique complexity and sampling rate.

Conclusions:

Not all physiological signals require denoising; skin temperature is largely artifact-immune.
Efficient denoising methods are necessary for EEG and ECG monitoring during physical activity, especially for wearable applications.
Selection of denoising techniques should consider computational efficiency and power consumption for low-power wearable systems.