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IMU

Semantic Cluster16 Research Papers

Studies in this Category

ID: fully-automated-template-matching-method-for-ecg-free-heartbeat-detection-in-cardiomechanical-signals-of-healthy-and-pathological-subjects2025

Fully automated template matching method for ECG-free heartbeat detection in cardiomechanical signals of healthy and pathological subjects

This study developed a new method to detect heartbeats from chest vibrations without needing ECG, showing high accuracy even for patients with heart diseases. It could enable long-term heart monitoring using wearable devices.

#scg#accelerometer#gcg
ID: advances-in-respiratory-monitoring-a-comprehensive-review-of-wearable-and-remote-technologies2024

Advances in Respiratory Monitoring: A Comprehensive Review of Wearable and Remote Technologies

This study reviews wearable and remote devices for tracking breathing, from chest belts to advanced sensors like fiber optics and radar. These technologies could help monitor respiratory health at home or in clinics, improving care for conditions like asthma and sleep apnea.

#scg#wearable#smartphone
ID: seismocardiography-for-emotion-recognition-a-study-on-emowear-with-insights-from-deap2024

Seismocardiography for Emotion Recognition: A Study on EmoWear with Insights from DEAP

This study shows that a single wearable accelerometer on the chest can track emotions by measuring heart and breathing vibrations, offering a simpler and cheaper way to integrate emotion recognition into daily life.

#scg#accelerometer#imu
ID: synthetic-seismocardiography-signal-generation-by-a-generative-adversarial-network2023

Synthetic Seismocardiography Signal Generation by a Generative Adversarial Network

Researchers used AI to create realistic heart vibration signals, helping scientists train heart-monitoring systems without needing expensive patient data collection.

#scg#accelerometer#deep-learning
ID: respiratory-modulation-of-sternal-motion-in-the-context-of-seismocardiography2022

Respiratory Modulation of Sternal Motion in the Context of Seismocardiography

This study shows how chest vibrations (SCG) can track breathing and heart activity using a single wearable sensor, paving the way for simpler health monitoring devices.

#scg#accelerometer#gyroscope
ID: biowish-biometric-recognition-using-wearable-inertial-sensors-detecting-heart-activity2022

BIOWISH: Biometric Recognition using Wearable Inertial Sensors detecting Heart Activity

This research shows how wearable sensors can use heart vibrations to identify people with high accuracy, even weeks after enrollment. It also demonstrates how these sensors can recognize activities like walking or lying down, making them useful for secure health monitoring.

#scg#gcg#deep-learning
ID: comparison-of-heart-rate-variability-indices-based-on-seismocardiograms-from-healthy-volunteers-and-patients-with-valvular-heart-diseases2022

Comparison of Heart Rate Variability Indices Based on Seismocardiograms from Healthy Volunteers and Patients with Valvular Heart Diseases

This research shows that heart vibrations measured from the chest can help detect differences in heart rate patterns between healthy people and those with heart valve diseases, offering a new way to monitor heart health outside clinics.

#scg#ecg#accelerometer
ID: a-multi-point-heart-rate-monitoring-using-a-soft-wearable-system-based-on-fiber-optic-technology2021

A multi-point heart rate monitoring using a soft wearable system based on fiber optic technology

This study developed a wearable device that uses advanced fiber optics to monitor heart rate more accurately by measuring chest vibrations. It could help doctors track heart health in clinical and daily settings.

#scg#wearable#imu
ID: a-comprehensive-review-on-seismocardiogram-current-advancements-on-acquisition-annotation-and-applications2021

A Comprehensive Review on Seismocardiogram: Current Advancements on Acquisition, Annotation, and Applications

This study reviews how SCG, a method to measure heart vibrations, is advancing with new sensors and AI to monitor heart health more effectively, even at home. It also highlights challenges like reducing noise in signals during movement.

#scg#accelerometer#contactless
ID: high-accuracy-unsupervised-annotation-of-seismocardiogram-traces-for-heart-rate-monitoring2020

High-Accuracy, Unsupervised Annotation of Seismocardiogram Traces for Heart Rate Monitoring

This study shows how chest vibrations can be used to monitor heartbeats accurately without needing traditional ECG sensors, paving the way for wearable heart monitors in daily life.

#scg#accelerometer#imu
ID: heart-rate-variability-analysis-on-electrocardiograms-seismocardiograms-and-gyrocardiograms-on-healthy-volunteers2020

Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers

This study shows that heart vibrations measured with simple sensors can reliably track heart rate variability, even in patients with heart valve diseases, making heart monitoring more accessible and affordable.

#scg#ecg#accelerometer
ID: comparison-of-seismocardiography-based-heart-rate-measurement-method2020

Comparison of Seismocardiography Based Heart Rate Measurement Method

This study shows that using advanced signal processing techniques, like jerk analysis, can make heart rate monitoring with chest vibrations more accurate, offering a simpler alternative to traditional methods like ECG.

#scg#accelerometer#imu
ID: comparison-of-multiple-cardiac-signal-acquisition-technologies-for-heart-rate-variability-analysis2019

Comparison of multiple cardiac signal acquisition technologies for heart rate variability analysis

This study shows that a new sensor technology, PiPG, can measure heart rate variability almost as accurately as an ECG, making it a promising tool for monitoring heart health in various settings.

#scg#ecg#ppg
ID: accurate-detection-of-dobutamine-induced-haemodynamic-changes-by-kino-cardiography-a-randomised-double-blind-placebo-controlled-validation-study2019

Accurate Detection of Dobutamine-induced Haemodynamic Changes by Kino-Cardiography: A Randomised Double-Blind Placebo-Controlled Validation Study

This study shows that a wearable device measuring body vibrations can accurately track heart function changes caused by medication, offering a new way to monitor heart health non-invasively.

#scg#wearable#accelerometer
ID: heart-rate-variability-estimation-with-joint-accelerometer-and-gyroscope-sensing2016

Heart Rate Variability Estimation with Joint Accelerometer and Gyroscope Sensing

This study shows how combining accelerometer and gyroscope sensors can improve heart rate variability tracking, paving the way for better wearable heart monitors.

#scg#accelerometer#gcg
ID: ballistocardiography-and-seismocardiography-a-review-of-recent-advances2014

Ballistocardiography and Seismocardiography: A Review of Recent Advances

This paper reviews how new technologies like wearable sensors and advanced signal processing make heart monitoring through vibrations (BCG and SCG) more practical and clinically useful, even outside hospitals.

#scg#wearable#accelerometer