11 Healthcare IoT
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11.6.5 Power Consumption
The consumption of energy is another important factor in IoT healthcare. The finite
battery life of sensors can negatively impact an application’s life cycle. Charging
or replacing batteries in many real-life IoT systems is complicated and inefficient,
especially if multiple sensors are utilized. Generally, an IoT device’s battery life
span is dependent upon the network (i.e., transmission range, duty cycle, and
utilization of communication channels) and the level of complexity of signal or data
processing.
11.6.6 Intrusiveness
There are some IoT e-Health applications that necessitate that a subject continually
carries or wears the sensor, which can become an inconvenient task. Therefore,
additional effort should be made to keep from violating the subject’s quality of life.
11.6.7 Design Automation Challenges
The design challenges for IoT e-Health systems arise from a combination of the
following characteristics [9]:
• Cross-domain: IoT e-Health is about the intersection of many fields that spans
bioengineering, embedded system, to network design, and to data analytics.
Therefore, modeling, design, verification, and monitoring of such a heterogeneous system require multi-disciplinary knowledge.
• Heterogeneous: IoT e-Health spans the cyber and physical worlds. Therefore,
it involves many components such as hardware and software, network, etc.
As a result, it is very important to pay detailed attention to interfacing and
interoperability of such a holistic system.
• Dynamic environments: IoT e-Health incorporates a significant dynamic environment. Therefore, the system should be able to evolve continually.
• Distributed systems: IoT e-Health is built on top of many layers and physically
and/or temporally separated components that are tightly networked.
• Large-scale: IoT e-Health is a swarm of connected devices, network components,
and computation systems that must deal with data volume, variety, velocity, and
veracity.
• Human aspects of the design: Since IoT e-Health is used in close collaboration
with humans, it is very important that the design of such a system considers the
role of humans as well as human interfacing.
537
11.6.5 Power Consumption
The consumption of energy is another important factor in IoT healthcare. The finite
battery life of sensors can negatively impact an application’s life cycle. Charging
or replacing batteries in many real-life IoT systems is complicated and inefficient,
especially if multiple sensors are utilized. Generally, an IoT device’s battery life
span is dependent upon the network (i.e., transmission range, duty cycle, and
utilization of communication channels) and the level of complexity of signal or data
processing.
11.6.6 Intrusiveness
There are some IoT e-Health applications that necessitate that a subject continually
carries or wears the sensor, which can become an inconvenient task. Therefore,
additional effort should be made to keep from violating the subject’s quality of life.
11.6.7 Design Automation Challenges
The design challenges for IoT e-Health systems arise from a combination of the
following characteristics [9]:
• Cross-domain: IoT e-Health is about the intersection of many fields that spans
bioengineering, embedded system, to network design, and to data analytics.
Therefore, modeling, design, verification, and monitoring of such a heterogeneous system require multi-disciplinary knowledge.
• Heterogeneous: IoT e-Health spans the cyber and physical worlds. Therefore,
it involves many components such as hardware and software, network, etc.
As a result, it is very important to pay detailed attention to interfacing and
interoperability of such a holistic system.
• Dynamic environments: IoT e-Health incorporates a significant dynamic environment. Therefore, the system should be able to evolve continually.
• Distributed systems: IoT e-Health is built on top of many layers and physically
and/or temporally separated components that are tightly networked.
• Large-scale: IoT e-Health is a swarm of connected devices, network components,
and computation systems that must deal with data volume, variety, velocity, and
veracity.
• Human aspects of the design: Since IoT e-Health is used in close collaboration
with humans, it is very important that the design of such a system considers the
role of humans as well as human interfacing.