The use of micro-electro mechanical systems in vascular monitoring: implications for clinical use

Pourriahi, Mahyar; Gurman, Pablo; Daich, Jonathan; Cynamon, Philip; Richler, Aaron; Elman, Noel M.; Rosen, Yitzhak

doi:10.1080/17434440.2016.1207520

Cited by 7 publications

(3 citation statements)

References 33 publications

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“…Mechanocardiography (MCG) encompasses gyrocardiography (GCG), seismocardiography (SCG), ballistocardiography (BCG), and phonocardiography (15), and increasing numbers of studies attest to its potential for cardiac performance assessment (16). Unlike other methods, MCG directly measures cardiac mechanics induced by heartbeats (17,18). Despite their advantages, most smartphone-based HR monitoring algorithms rely on SCG signals, with few considering GCG data for HR estimation.…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles

Elgendi,

Wu,

Guan

et al. 2023

Front. Cardiovasc. Med.

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Accurate heart rate (HR) measurement is crucial for optimal cardiac health, and while conventional methods such as electrocardiography and photoplethysmography are widely used for continuous daily monitoring, they may face practical limitations due to their dependence on external sensors and susceptibility to motion artifacts. In recent years, mechanocardiography (MCG)-based technologies, such as gyrocardiography (GCG) and seismocardiography (SCG), have emerged as promising alternatives to address these limitations. GCG has shown enhanced sensitivity and accuracy for HR detection compared to SCG, although its benefits are often overlooked in the context of the widespread use of accelerometers in HR monitoring applications. In this perspective, we aim to explore the potential and challenges of GCG, while recognizing that other technologies, including photoplethysmography and remote photoplethysmography, also have promising applications for HR monitoring. We propose a roadmap for future research to unlock the transformative capabilities of GCG for everyday heart rate monitoring.

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Section: Introductionmentioning

confidence: 99%

Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles

Elgendi,

Wu,

Guan

et al. 2023

Front. Cardiovasc. Med.

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“…Advancements in microelectromechanical systems (MEMS) ( 24 ), now common in modern smartphones, have led to the utilization of MEMS sensors in smartphone-based HR monitoring systems ( 25 , 26 ). Mechanocardiography (MCG), which includes gyrocardiography (GCG), seismocardiography (SCG), and ballistocardiography (BCG), measures cardiac mechanics induced by heartbeats ( 27 ).…”

Section: Introductionmentioning

confidence: 99%

Detection of heart rate using smartphone gyroscope data: a scoping review

Wu,

Elgendi,

Fletcher

et al. 2023

Front. Cardiovasc. Med.

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Heart rate (HR) is closely related to heart rhythm patterns, and its irregularity can imply serious health problems. Therefore, HR is used in the diagnosis of many health conditions. Traditionally, HR has been measured through an electrocardiograph (ECG), which is subject to several practical limitations when applied in everyday settings. In recent years, the emergence of smartphones and microelectromechanical systems has allowed innovative solutions for conveniently measuring HR, such as smartphone ECG, smartphone photoplethysmography (PPG), and seismocardiography (SCG). However, these measurements generally rely on external sensor hardware or are highly susceptible to inaccuracies due to the presence of significant levels of motion artifact. Data from gyrocardiography (GCG), however, while largely overlooked for this application, has the potential to overcome the limitations of other forms of measurements. For this scoping review, we performed a literature search on HR measurement using smartphone gyroscope data. In this review, from among the 114 articles that we identified, we include seven relevant articles from the last decade (December 2012 to January 2023) for further analysis of their respective methods for data collection, signal pre-processing, and HR estimation. The seven selected articles’ sample sizes varied from 11 to 435 participants. Two articles used a sample size of less than 40, and three articles used a sample size of 300 or more. We provide elaborations about the algorithms used in the studies and discuss the advantages and disadvantages of these methods. Across the articles, we noticed an inconsistency in the algorithms used and a lack of established standardization for performance evaluation for HR estimation using smartphone GCG data. Among the seven articles included, five did not perform any performance evaluation, while the other two used different reference signals (HR and PPG respectively) and metrics for accuracy evaluation. We conclude the review with a discussion of challenges and future directions for the application of GCG technology.

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“…The MEMS technology changed our world dramatically and now MEMS can be found in many places around us including airbags, ink jet printers, game controllers, smart phones to name a few. Integration of MEMS within biomedicine is known as Bio-MEMS 1 , and its representative application is a pacemaker. More recently, by taking advantages of miniaturization, high sensitivity, wireless technology, and low energy requirement, MEMS use for implantable pressure sensor has emerged as a new approach to continuously and non-invasively monitor pressures inside the body.…”

mentioning

confidence: 99%

Lv-Mems

Ishikawa

2018

Circ: Cardiovascular Interventions

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The use of micro-electro mechanical systems in vascular monitoring: implications for clinical use

Cited by 7 publications

References 33 publications

Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles

Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles

Detection of heart rate using smartphone gyroscope data: a scoping review

Lv-Mems

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