Application of Modern Multi-Sensor Holter in Diagnosis and Treatment

Abstract

Modern Holter devices are very trendy tools used in medicine, research, or sport. They monitor a variety of human physiological or pathophysiological signals. Nowadays, Holter devices have been developing very fast. New innovative products come to the market every day. They have become smaller, smarter, cheaper, have ultra-low power consumption, do not limit everyday life, and allow comfortable measurements of humans to be accomplished in a familiar and natural environment, without extreme fear from doctors. People can be informed about their health and 24/7 monitoring can sometimes easily detect specific diseases, which are normally passed during routine ambulance operation. However, there is a problem with the reliability, quality, and quantity of the collected data. In normal life, there may be a loss of signal recording, abnormal growth of artifacts, etc. At this point, there is a need for multiple sensors capturing single variables in parallel by different sensing methods to complement these methods and diminish the level of artifacts. We can also sense multiple different signals that are complementary and give us a coherent picture. In this article, we describe actual interesting multi-sensor principles on the grounds of our own long-year experiences and many experiments.

The Concept of Advanced Multi-Sensor Monitoring of Human Stress

“…Most commonly, it can be obtained from the biopotentials of the heart and using photo and piezoelectric plethysmography. Our experience include also obtaining HR from SCG seismocardiography [ 141 ] or from minor variations of the EDA itself [ 116 ].…”

Recent Progress in Flexible Wearable Sensors for Vital Sign Monitoring

“…In the above articles, we found that wearable parts are mainly concentrated in the wrists and arms, as well as the chest of upper limbs. Vavrinsky et al [ 74 ] also found that, when measuring ECG and derivative respiration, it is better to use the position under the chest muscle, if possible, the electrode direction is parallel to the heart axis.…”

A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs

“…Additionally, this task can be very time-consuming, especially when patients are monitored for long hours [5]. In fact, it is often difficult to find compelling symptoms of most cardiovascular diseases and arrhythmias in short ECG recordings, thus requiring monitoring for several hours or days [6]. Current wearable systems are even able to obtain ECG recordings during several weeks and months [7], thus making their manual revision unfeasible and requiring computer-based interpretation [5].…”