A heart rate sensor based on seismocardiography for vital sign monitoring systems

Dinh, Anh; Choi, Younhee; Ko, Seok‐Bum

doi:10.1109/ccece.2011.6030536

Cited by 12 publications

(14 citation statements)

References 7 publications

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“…The Seismocardiography sensor is a highsensitive triple-axis accelerometer. This technique allows to measure the breathing and heart rate but is not the most indicated for the heart rate when the subject is in movement [32]. This method is appropriated for when the subject is very still, when he's sleeping for example.…”

Section: Heart Rate and Respiration Rate Measurementmentioning

confidence: 99%

Cyclist Performance Assessment based on WSN and Cloud Technologies

Dias

Postolache

2018

2018 International Conference and Exposition on Electrical and Power Engineering (EPE)

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Mobility in big cities is a growing problem and the use of bicycles has been a solution which, together with new sharing services, helps to motivate users. There are also more and more users practicing sports involving the use of bicycles. It was in this context that the present dissertation was developed, a distributed sensor system for monitoring cyclists. With the support of a wireless sensor network connected to the internet and, using a set of smart sensors as end-nodes, it is possible to obtain data that will help the cyclist to improve his performance. The coach can monitor and evaluate the performance to improve their training sessions. The health status condition during training it is also monitored using cardiac and respiratory assessment sensors. The information from the nodes of the wireless sensor network is uploaded, via the internet connection, to the Firebase platform. An Android mobile application has been developed, this allows trainers to register cyclists, plan routes and observe the results collected by the network. With the inclusion of these technologies, the coach and the athlete may analyze the performance of a session and compare it with the previous training results. New training sessions may be established according to the athlete's needs. The effectiveness of the proposed system was experimentally tested and several results are included in this dissertation.

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Section: Heart Rate and Respiration Rate Measurementmentioning

confidence: 99%

Cyclist Performance Assessment based on WSN and Cloud Technologies

Dias

Postolache

2018

2018 International Conference and Exposition on Electrical and Power Engineering (EPE)

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“…The authors of the study have already developed a hybrid acoustic sensor for triggering MR acquisition based on seismocardiography (SCG) [36], which refers to monitoring of human body surface vibrations due to cardiac wall movement commonly sensed by accelerometers. In the past, the SCG signal was used to detect heart rate [37] and also to measure cardiac activity in the MR environment [38]. Although this sensor achieved very satisfactory results with part of the subjects measured, there were often problems with placing the sensor itself on the patient's body, which led to a deterioration in the quality of detection of significant features (A0-A0) and thus to worse CMRI synchronization.…”

Section: Introductionmentioning

confidence: 99%

A Comparison Between Novel FPGA-Based Pad Monitoring System Using Ballistocardiography and the Conventional Systems for Synchronization and Gating of CMRI at 3 Tesla: A Pilot Study

et al. 2020

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This pilot pre-clinical study demonstrates the applicability of a new type of pneumatic cardiac triggering (PCT) for cardiac imaging. The pilot research compares the novel FPGA-based pad monitoring system for cardiac triggering using ballistocardiography (BCG) with conventional systems based on electrocardiography (ECG) and photoplethysmography (PPG). The implemented system enables cardiac triggering without the need to fix the sensors to the patient's body. This unique approach has the potential to reduce the preparation time for examination and the examination itself and to increase patient's comfort. The pilot pre-clinical study was conducted on 10 subjects at the Siemens Prisma 3T MRI Scanner within the

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“…With the advancement of MEMS-based sensors and low-power microprocessors, interests have recently increased in small-size and lightweight systems for capturing and processing of SCG to provide continuous heart monitoring [6]- [8]. With further research and development, SCG may find its way into consumer electronics to provide advanced health and life care capabilities such as noninvasive heart disease detection.…”

Section: Introductionmentioning

confidence: 99%

Timing detection and seismocardiography waveform extraction

Nguyen

Zhang

Nam

2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Described herein is a new and robust method to extract heart-beat timing from seismocardiogram (SCG). This timing indicates the precise time location of each heart beat and therefore directly conveys heart rate information. Knowledge of the time location of each occurrence of the underlying SCG waveform allows us to obtain a clean SCG waveform estimate by time averaging noisy segments of an SCG time series. The algorithm can be implemented in wearable SCG-based devices to provide heart monitoring or diagnosis capabilities without relying on any other methodology, such as electrocardiography, as a timing reference.

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A heart rate sensor based on seismocardiography for vital sign monitoring systems

Cited by 12 publications

References 7 publications

Cyclist Performance Assessment based on WSN and Cloud Technologies

Cyclist Performance Assessment based on WSN and Cloud Technologies

A Comparison Between Novel FPGA-Based Pad Monitoring System Using Ballistocardiography and the Conventional Systems for Synchronization and Gating of CMRI at 3 Tesla: A Pilot Study

Timing detection and seismocardiography waveform extraction

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