Non‐Invasive Cardiovascular Hemodynamic Measurements

Yamakoshi, K.

doi:10.1002/9783527619252.ch5g

Cited by 6 publications

(1 citation statement)

References 55 publications

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“…The cutoff frequency of low‐pass filter was set at 30 Hz. The pressure pulse wave was measured noninvasively at the left middle finger using a device (Medisens, MUB101) developed applying the volume‐compensation method (Matsumura, Yamakoshi, Rolfe, & Yamakoshi, ; Yamakoshi, ; Yamakoshi, Shimazu, & Togawa, ). All signals were amplified using a multichannel polygraph (Monte System, BioPac MP150), sampled at a rate of 1 kHz with a resolution of 16 bits, and stored digitally in a computer (Apple, iMac, Mac OS X 10.5).…”

Section: Methodsmentioning

confidence: 99%

Differential Effect of Two Mental Stress Tasks on Arterial Stiffness

et al. 2018

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Acute mental stress is believed to induce transient arterial dysfunction, but relatively few data are available. We therefore examined the effect of mental stress tasks that could induce differential hemodynamic responses on arterial dysfunction. Forty‐eight participants conducted either a mental arithmetic (MA) task or a mirror‐tracing (MT) task. Cardiovascular indices and arterial stiffness were measured before, during, and after these tasks. Analysis revealed that increases in arterial stiffness during the task and during recovery were more pronounced for the MA than for the MT, and that evoked hemodynamic response was more myocardial for MA than for MT. These results clearly show that MA and MT tasks that induce differential hemodynamic responses have a differential effect on arterial stiffness. This finding sheds light on the underlying mechanism that may account for the relationship between cardiovascular reactivity and cardiovascular disease.

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Section: Methodsmentioning

confidence: 99%

Differential Effect of Two Mental Stress Tasks on Arterial Stiffness

et al. 2018

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Smart Health Monitoring Systems: An Overview of Design and Modeling

2013

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Health monitoring systems have rapidly evolved during the past two decades and have the potential to change the way health care is currently delivered. Although smart health monitoring systems automate patient monitoring tasks and, thereby improve the patient workflow management, their efficiency in clinical settings is still debatable. This paper presents a review of smart health monitoring systems and an overview of their design and modeling. Furthermore, a critical analysis of the efficiency, clinical acceptability, strategies and recommendations on improving current health monitoring systems will be presented. The main aim is to review current state of the art monitoring systems and to perform extensive and an in-depth analysis of the findings in the area of smart health monitoring systems. In order to achieve this, over fifty different monitoring systems have been selected, categorized, classified and compared. Finally, major advances in the system design level have been discussed, current issues facing health care providers, as well as the potential challenges to health monitoring field will be identified and compared to other similar systems.

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A fully automated health-care monitoring at home without attachment of any biological sensors and its clinical evaluation

Motoi

Ogawa

Ueno³

et al. 2009

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Daily monitoring of health condition is important for an effective scheme for early diagnosis, treatment and prevention of lifestyle-related diseases such as adiposis, diabetes, cardiovascular diseases and other diseases. Commercially available devices for health care monitoring at home are cumbersome in terms of self-attachment of biological sensors and self-operation of the devices. From this viewpoint, we have been developing a non-conscious physiological monitor installed in a bath, a lavatory, and a bed for home health care and evaluated its measurement accuracy by simultaneous recordings of a biological sensors directly attached to the body surface. In order to investigate its applicability to health condition monitoring, we have further developed a new monitoring system which can automatically monitor and store the health condition data. In this study, by evaluation on 3 patients with cardiac infarct or sleep apnea syndrome, patients' health condition such as body and excretion weight in the toilet and apnea and hypopnea during sleeping were successfully monitored, indicating that the system appears useful for monitoring the health condition during daily living.

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Non‐Invasive Cardiovascular Hemodynamic Measurements

Cited by 6 publications

References 55 publications

Differential Effect of Two Mental Stress Tasks on Arterial Stiffness

Differential Effect of Two Mental Stress Tasks on Arterial Stiffness

Smart Health Monitoring Systems: An Overview of Design and Modeling

A fully automated health-care monitoring at home without attachment of any biological sensors and its clinical evaluation

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