Abstract
Ageing populations are driving demand for long-term healthcare. In this study, we developed a bed occupancy sensor, which works by generating a small electrical current when a load is applied to a "sensor pad", which then triggers an external electronic control device. When the load is removed, the circuit is broken, and a signal is sent to healthcare providers, alerting them that the patient has gotten out of bed. The connection between the sensing device and the nursing station could also be used to provide an emergency call functionality. We then evaluated the reliability of the sensor pads by applying thermal shocks and repeated loading. Changes in electrical resistance were used to determine the relationship between the three. We then observed variations of the surface state using scanning electron microscopy and atomic force microscopy, as a reference for future oil ink smear adjustments. Future research could focus on other functions, such as the detection of pressure distribution, the measurement of respiratory signals, and the assessment of sleep quality. Automating the monitoring of these aspects of care could help to reduce the pressure on healthcare personnel and provide additional patient data in cases of home care.
| Original language | English |
|---|---|
| Pages (from-to) | 33-41 |
| Number of pages | 9 |
| Journal | Sensors and Materials |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Instrumentation
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Thermal shock and resistance behavior relationship of bed occupancy sensor. / Wu, Chuan Shih; Lin, Sheng Yao; Chen, Tsair Rong.
In: Sensors and Materials, Vol. 28, No. 1, 01.01.2016, p. 33-41.Research output: Contribution to journal › Article
TY - JOUR
T1 - Thermal shock and resistance behavior relationship of bed occupancy sensor
AU - Wu, Chuan Shih
AU - Lin, Sheng Yao
AU - Chen, Tsair Rong
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Ageing populations are driving demand for long-term healthcare. In this study, we developed a bed occupancy sensor, which works by generating a small electrical current when a load is applied to a "sensor pad", which then triggers an external electronic control device. When the load is removed, the circuit is broken, and a signal is sent to healthcare providers, alerting them that the patient has gotten out of bed. The connection between the sensing device and the nursing station could also be used to provide an emergency call functionality. We then evaluated the reliability of the sensor pads by applying thermal shocks and repeated loading. Changes in electrical resistance were used to determine the relationship between the three. We then observed variations of the surface state using scanning electron microscopy and atomic force microscopy, as a reference for future oil ink smear adjustments. Future research could focus on other functions, such as the detection of pressure distribution, the measurement of respiratory signals, and the assessment of sleep quality. Automating the monitoring of these aspects of care could help to reduce the pressure on healthcare personnel and provide additional patient data in cases of home care.
AB - Ageing populations are driving demand for long-term healthcare. In this study, we developed a bed occupancy sensor, which works by generating a small electrical current when a load is applied to a "sensor pad", which then triggers an external electronic control device. When the load is removed, the circuit is broken, and a signal is sent to healthcare providers, alerting them that the patient has gotten out of bed. The connection between the sensing device and the nursing station could also be used to provide an emergency call functionality. We then evaluated the reliability of the sensor pads by applying thermal shocks and repeated loading. Changes in electrical resistance were used to determine the relationship between the three. We then observed variations of the surface state using scanning electron microscopy and atomic force microscopy, as a reference for future oil ink smear adjustments. Future research could focus on other functions, such as the detection of pressure distribution, the measurement of respiratory signals, and the assessment of sleep quality. Automating the monitoring of these aspects of care could help to reduce the pressure on healthcare personnel and provide additional patient data in cases of home care.
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UR - http://www.scopus.com/inward/citedby.url?scp=84983003900&partnerID=8YFLogxK
U2 - 10.18494/SAM.2016.1154
DO - 10.18494/SAM.2016.1154
M3 - Article
AN - SCOPUS:84983003900
VL - 28
SP - 33
EP - 41
JO - Sensors and Materials
JF - Sensors and Materials
SN - 0914-4935
IS - 1
ER -