Cardiorespiratory Fitness
Studies in this Category
Monitoring of respiration and cardiorespiratory interactions from multichannel seismocardiography signals
This study shows that chest vibrations measured by accelerometers can accurately track breathing and heart-lung interactions, regardless of sensor placement. It introduces a new method to analyze these signals for better health monitoring.
MSCardio Seismocardiography (SCG) Dataset
This dataset shows how smartphones can record heart vibrations to help researchers study heart health remotely and affordably.
Estimation of cardiorespiratory fitness in healthy using seismocardiography
This study shows that a chest vibration sensor can accurately measure fitness levels without exercise, offering a simple and affordable way to track heart health.
Non-exercise estimation of peak oxygen uptake in patients with ischaemic heart disease and heart failure using seismocardiography
This study found that a new heart monitoring method using vibrations (SCG) was not accurate enough to estimate fitness levels or track improvements in heart patients after rehabilitation.
Seismocardiography as a valuable non-exercise method for estimating peak Vo2 in cardiac patients? first experiences in Germany
This research shows that SCG can estimate heart fitness in cardiac patients almost as accurately as traditional exercise tests, but more data is needed to improve reliability for clinical use.
The acceptability of a novel seismocardiography device for measuring VO2 max in a workplace setting: a mixed methods approach
This study shows that a new heart vibration device can measure fitness at work more comfortably than exercise tests, but better training for practitioners is needed to make it widely usable.
LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables
This study shows how regular earbuds can monitor heart health by detecting subtle vibrations linked to heartbeats, offering a convenient way to track cardiovascular health daily.
Extracting Cardiovascular-Induced Chest Vibrations from Ordinary Chest Videos: A Comparative Study
This study shows that smartphone videos can accurately track heart vibrations using advanced computer vision methods, offering a comfortable and non-invasive way to monitor heart health.
Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake
This study shows that the Seismofit® device can estimate fitness levels (VO2MAX) without exercise, offering a simpler alternative to traditional lab tests with good accuracy and reliability.
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.
Accuracy of a Clinical Applicable Method for Prediction of VO2max Using Seismocardiography
This study shows that a chest vibration-based method (SCG) can accurately predict fitness levels (VO2max) in healthy adults, potentially offering a simpler alternative to traditional exercise tests.
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.
Validity and reliability of a clinical non-exercise method for assessment of cardiorespiratory fitness using seismocardiography
This study shows that seismocardiography can reliably measure cardiorespiratory fitness without exercise, though it slightly underestimates results compared to traditional methods.
Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest
This study explores using chest vibrations (SCG) to estimate fitness levels without exercise. While the method shows potential, it needs refinement to match clinical accuracy standards.
The Latest Progress and Development Trend in the Research of Ballistocardiography (BCG) and Seismocardiogram (SCG) in the Field of Health Care
This study reviews how BCG and SCG technologies are being revived to monitor heart and health conditions, with potential applications in sleep and cardiovascular care. It calls for making these technologies more accessible and standardized for everyday use.
Seismocardiography: Interpretation and Clinical Application
This research shows how heart vibrations (SCG) can help monitor heart health. It links SCG signals to heart events, tracks therapy effects in heart failure patients, and estimates fitness levels without exercise tests, making heart monitoring simpler and more accessible.
Cardiovascular adaptation to simulated microgravity and countermeasure efficacy assessed by ballistocardiography and seismocardiography
This research shows that portable devices using body vibrations can track heart health changes during simulated space conditions and prove the benefits of exercise in preventing heart deconditioning.
Determining the Respiratory State From a Seismocardiographic Signal--A Machine Learning Approach
This study shows that chest vibrations from the heart (SCG signals) can predict breathing patterns using advanced machine learning, with neural networks being the most accurate method. This could help monitor breathing and heart health more easily and affordably.
Contactless Mapping of Thoracic and Abdominal Movements: Applications for Seismocardiography
This study shows that a new ultrasound device can measure heart vibrations without touching the body, offering a faster and less invasive alternative to traditional methods.
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This study shows that seismocardiography (SCG) can estimate fitness levels reliably, though it slightly underestimates compared to the gold standard method. It offers a simpler, non-exercise alternative for assessing heart and lung health.