Key result
Novel wearable computer accurately measures ECG, pulse wave velocity, and HRV in healthy volunteers.
Why the study?
Supporting the increasing number of elderly patients physically and mentally is a key issue in medicine due to rapidly aging populations in developed countries.
A newly developed wearable system successfully measured ECG and femoral artery pulse waves to assess physical and mental workload in healthy volunteers, demonstrating feasibility for home monitoring applications.
May support home ECG monitoring in elderly patients; hypothesis-generating and requires prospective validation before clinical adoption.
The population of most developed countries is rapidly aging, which has created a growing demand for home care. A key issue in medicine is supporting the increasing number of elderly patients, both physically and mentally. In this study, we developed a wearable computer that contained modules for measuring electrocardiograms (ECGs) and femoral artery pulse waves using an accelerometer. This system has several benefits: (a) it can provide a database server in each patient's home; (b) its high extendibility and flexibility facilitate adaptation to a patient's needs; and (c) it allows patients to keep their own data, thus protecting the privacy of personal information. To clarify the capabilities and reliability of the system, we applied it to 8 healthy young volunteers during states of physical and mental work. This system successfully detected clear ECGs and femoral artery pulse waves to calculate important bioinformation, including heart rate, pulse wave velocity, and the power spectral density of spontaneous beat-to-beat oscillations in the R-R interval. In this study, we proposed the way to provide an assessment of the physical and mental condition of the subject using analysis of the bio-information with respect to the physical and mental workloads. The present study provides useful knowledge for the development of a wearable computer designed to monitor the physical and mental conditions of older persons and patients.
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Kim et al. (2008) studied Healthy (n=8). Wearable computer for measuring ECGs and femoral artery pulse waves was evaluated on Detection of clear ECGs and femoral artery pulse waves to calculate bioinformation. A newly developed wearable computer successfully detected clear ECGs and femoral artery pulse waves to calculate heart rate, pulse wave velocity, and HRV in 8 healthy young volunteers.
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