The architecture and the platform of the sensor networks
of the HAM system play a significant role for continuous
monitoring of physiological parameters especially of the
elderly or chronic patient. The network should be selected
based on cost, performance, ease of configuration, addition
of extra sensor nodes, range and power consumption etc.
A comparison of different IEEE protocols currently available
is shown in Table I [40]. There may be different ad-hoc
networks on which research are currently undergoing.
A healthcare monitoring architecture combination of three
network tiers providing pervasive, secure access to wearable
sensor systems has been reported [41] in which the design
of the wireless sensor motes involve a Bluetooth chip with
enhanced security schemes. A few mobile health technologies
including wearable sensors for electrodermal activity (EDA)
and mobile plethysmography as well as mobile phones
and the supporting wireless network architecture has been
presented [42]. The development of a fall detection system
based on a combination of sensor networks and home robots
has been presented [43]. The sensor network architecture
comprises of body worn sensors and ambient sensors distributed
in the environment. The software architecture and
conceptual design home robotic platform along with the performance
of the sensor network in terms of latencies and
battery lifetime are discussed. A mobile platform consists of
a wearable sensor system for collecting algorithm training
data in the lab, and a mobile phone application used to
deliver therapeutic interventions as triggered by real-time
sensor data for cognitive behavioral therapy (CBT) developed
for an ongoing study for patients with drug-addiction and
post-traumatic stress disorder (PTSD) has been presented [44].
A low-cost, low-power wireless sensor platform implemented
using the IEEE 802.15.4 wireless standard, and describing the
design of compact wearable sensors for long-term measurement
of electrodermal activity, temperature, motor activity, and
photoplethysmography has been described [45].
The architecture and the platform of the sensor networksof the HAM system play a significant role for continuousmonitoring of physiological parameters especially of theelderly or chronic patient. The network should be selectedbased on cost, performance, ease of configuration, additionof extra sensor nodes, range and power consumption etc.A comparison of different IEEE protocols currently availableis shown in Table I [40]. There may be different ad-hocnetworks on which research are currently undergoing.A healthcare monitoring architecture combination of threenetwork tiers providing pervasive, secure access to wearablesensor systems has been reported [41] in which the designof the wireless sensor motes involve a Bluetooth chip withenhanced security schemes. A few mobile health technologiesincluding wearable sensors for electrodermal activity (EDA)and mobile plethysmography as well as mobile phonesand the supporting wireless network architecture has beenpresented [42]. The development of a fall detection systembased on a combination of sensor networks and home robotshas been presented [43]. The sensor network architecturecomprises of body worn sensors and ambient sensors distributedin the environment. The software architecture andconceptual design home robotic platform along with the performanceof the sensor network in terms of latencies andbattery lifetime are discussed. A mobile platform consists ofa wearable sensor system for collecting algorithm trainingdata in the lab, and a mobile phone application used todeliver therapeutic interventions as triggered by real-timesensor data for cognitive behavioral therapy (CBT) developedfor an ongoing study for patients with drug-addiction andpost-traumatic stress disorder (PTSD) has been presented [44].A low-cost, low-power wireless sensor platform implementedusing the IEEE 802.15.4 wireless standard, and describing thedesign of compact wearable sensors for long-term measurementof electrodermal activity, temperature, motor activity, andphotoplethysmography has been described [45].
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