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Background In the context of monitoring dogs, usually, accelerometers have been used to measure the dog’s movement activity. Here, we study another application of the accelerometers (and gyroscopes)—seismocardiography (SCG) and gyrocardiography (GCG)—to monitor the dog’s heart. Together, 3-axis SCG and 3-axis GCG constitute of 6-axis mechanocardiography (MCG), which is inbuilt to most modern smartphones...
Rapidly growing number of heart monitoring systems based on microelectromechanical sensor (MEMS) devices demands highly accurate processing algorithms for indicating heartbeat location. In clinical applications based on the analysis of cardiovascular mechanical motion, the signal may vary due to a variety of reasons including motion artifacts, location of the sensor and posture of the person being...
In this paper we consider the detection of indications of acute myocardial infarction (AMI) through a smartphone only solution. AMI is a serious heart condition where a blood vessel of the heart is fully or partially blocked e.g. by a rupture of an atherosclerotic plaque, the arrival of oxygen to the heart muscle is disturbed, and part of the heart muscle tissue dies (irreversible injury) due to insufficient...
In this paper we study the feasibility of seismocardiography (SCG) for the detection of Atrial Fibrillation (AF). In this preclinical study, data acquired from one patient having paroxysmal AF (no other heart diseases) is used to introduce specific changes in SCG signal due to AF. Observed changes and phenomena create a foundation for the development of SCG-based AF detection algorithms. SCG data...
This study presents a new technique which allows identification of individual heartbeats from seismocardiograms (SCG) with high accuracy. Our method is electrocardiogram (ECG) independent and designed based upon S-transform and Shannon energy. The S-transform which is a time-frequency (TF) representation first provides frequency-dependent resolution while preserving a direct relationship with Fourier...
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