Characterization of PIR detector for monitoring occupancy patterns and functional health status of elderly people living alone at home

Kaushik, Alka R; Celler, Branko G.

doi:10.3233/thc-2007-15405

Cited by 20 publications

(5 citation statements)

References 11 publications

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Section: Introductionmentioning

confidence: 99%

“…3 The use of infrared sensors to detect an occupancy pattern in an experimental room has also been studied by other groups, but accuracy remains to be proved in different types of rooms, since the detector output depends on the velocity of movement and the distance. 4 Calculating energy expenditure for elderly people at home using these types of sensors has also been proposed by Kaushik and Celler. 5 This has been tested in an experimental set-up.…”

Section: Introductionmentioning

confidence: 99%

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Non-invasive monitoring of the activities of daily living of elderly people at home – a pilot study of the usage of domestic appliances

et al. 2008

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We conducted a feasibility study of a system for non-invasive monitoring of subjects at home. Electrical activity was recorded from room lights and from electrical domestic appliances; this was translated into the probability of physical activity or a particular Activity of Daily Living (ADL). Thirteen volunteer subjects were monitored for a period of 6.4 months (range 3-8). The mean age of the subjects was 80 years and they all lived alone at home; one had moderate Alzheimer's disease. A one-week validation was carried out to ascertain whether the recorded activity actually occurred. The results showed that daily and nocturnal activity could be well differentiated. The probability of having eaten, taken a bath and going to the toilet could be calculated each day. Eating was the most accurately measured ADL; toileting and bathing results were less accurate. The system appears to be a promising component of home telecare.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-invasive monitoring of the activities of daily living of elderly people at home – a pilot study of the usage of domestic appliances

et al. 2008

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“…A user friendly EEG headset has been designed to enhance people's wellbeing based on biofeedback [22]. For the elderly, unobtrusive monitoring of sleeping patterns [23] and health status of people living alone at home [24] have been reported. Some early efforts and developments have been made towards non-invasive neonatal monitoring.…”

Section: Introductionmentioning

confidence: 99%

Design of an Integrated Sensor Platform for Vital Sign Monitoring of Newborn Infants at Neonatal Intensive Care Units

Chen

Oetomo

Feijs

et al. 2010

Journal of Healthcare Engineering

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Continuous health status monitoring and advances in medical treatments have resulted in a significant increase of survival rate in critically ill infants admitted into Neonatal Intensive Care Units (NICUs). The quality of life and long-term health prospects of the neonates depend increasingly on the reliability and comfort of the monitoring systems. In this paper, we present the design work of a smart jacket for vital sign monitoring of neonates at a NICU. The design represents a unique integration of sensor technology, user focus and design aspects. Textile sensors, a reflectance pulse oximeter and a wearable temperature sensor were proposed to be embedded into the smart jacket. Location of the sensor, materials and appearance were designed to optimize the functionality, patient comfort and the possibilities for aesthetic features. Prototypes were built for demonstrating the design concept and experimental results were obtained from tests on premature babies at the NICU of Máxima Medical Centre (MMC) in Veldhoven, the Netherlands.

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“…Recently, several unconstrained methods have been developed for vital-sign monitoring of normal subjects for healthcare. [6][7][8] These methods employ electrodes or probes that are installed in the furniture or ceiling so that the subjects are allowed to perform daily activities without inconvenience and disturbance. Our method meets the requirement for unconstrained monitoring pursued in these previous studies.…”

Section: Introductionmentioning

confidence: 99%

Non-Contact Respiratory Monitoring with a Bioelectric Impedance Technique to Detect Abnormal Respiration during Bathing

Nakajima

Sekine

Yamazaki

et al. 2009

Jpn. J. Appl. Phys.

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Preliminary theoretical calculations and examinations were carried out to develop a method of non-contact respiratory monitoring during bathing to detect abnormal respiration using the bioelectric impedance (BEI) technique. First, theoretical calculations regarding the frequency-dependence of the impedance amplitude were made using a two-dimensional model consisting of a circular body and bath water surrounding the body. The body consisted of concentric layered circles representing the lung and the body fluid. The calculations showed that increases in chest size due to inspiration cause a decrease in the impedance amplitude in the frequency range from 1 kHz to 100 MHz. Next, BEI measurements were carried out from 4 to 400 kHz with the pair of electrodes placed in the vicinity of the chest at the maximumend-expiration and maximum-end-inspiration stages. These provided results consistent with those obtained from the theoretical calculations. Third, the time-dependence of the impedance amplitude was measured at 10, 100, and 400 kHz, respectively. At all of these frequencies, the impedance amplitude corresponded well with the respiratory waveform obtained from rubber strain gauge plethysmography, which was used as a reference.

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Characterization of PIR detector for monitoring occupancy patterns and functional health status of elderly people living alone at home

Cited by 20 publications

References 11 publications

Non-invasive monitoring of the activities of daily living of elderly people at home – a pilot study of the usage of domestic appliances

Non-invasive monitoring of the activities of daily living of elderly people at home – a pilot study of the usage of domestic appliances

Design of an Integrated Sensor Platform for Vital Sign Monitoring of Newborn Infants at Neonatal Intensive Care Units

Non-Contact Respiratory Monitoring with a Bioelectric Impedance Technique to Detect Abnormal Respiration during Bathing

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