A fully automated health-care monitoring at home without attachment of any biological sensors and its clinical evaluation.
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.
Motoi
Kosuke
K
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, 920-1192 Japan. motoi566@staff.kanazawa-u.ac.jp
Ogawa
Mitsuhiro
M
Ueno
Hiroshi
H
Kuwae
Yutaka
Y
Ikarashi
Akira
A
Yuji
Tadahiko
T
Higashi
Yuji
Y
Tanaka
Shinobu
S
Fujimoto
Toshiro
T
Asanoi
Hidetsugu
H
Yamakoshi
Ken-ichi
K
D000203:Activities of Daily Living; D001331:Automation; D001330:Electronic Data Processing; D004867:Equipment Design; D005160:Facility Design and Construction; D006699:Home Care Services; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D009203:Myocardial Infarction / Q000175:diagnosis / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D012891:Sleep Apnea Syndromes / Q000175:diagnosis / Q000503:physiopathology*; D017216:Telemedicine / Q000295:instrumentation / Q000379:methods; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods; D014038:Toilet Facilities; D014159:Transducers