A novel wireless less-invasive implantable blood pressure sensing system is developed for advanced biological research. the system employs a miniature instrumented elastic cuff, wrapped around a blood vessel, for smal...
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ISBN:
(纸本)9784907764319
A novel wireless less-invasive implantable blood pressure sensing system is developed for advanced biological research. the system employs a miniature instrumented elastic cuff, wrapped around a blood vessel, for small animal real-time blood pressure monitoring. the elastic cuff is made of biocompatible soft silicone material by a molding process and is filled by insulating silicone oil with an immersed MEMS capacitive pressure sensor interfaced with low power integrated electronics. this technique avoids vessel penetration and substantially minimizes vessel restriction due to the soft cuff elasticity, thus attractive for long-term implant. the MEMS pressure sensor detects the coupled blood pressure waveform caused by the vessel expansion and contraction, followed by amplification, digitization, and wireless FSK data transmission to an external receiver. the integrated electronics are designed with capability of receiving RF power from an external power source and converting the RF signal to a stable 2V DC supply in an adaptive manner to power the overall implant system, thus enabling a realization of stand-alone battery-less implant microsystem. the electronics are fabricated in a 1.5 μmCMOS process and occupies an area of 2 mm × 2 mm. the prototype monitoring cuff is wrapped around the right carotid artery of a laboratory rat to measure real-time blood pressure waveform. the measured in vivo blood waveform is compared with a reference waveform recorded simultaneously by using a commercial catheter-tip transducer inserted into the left carotid artery. Two measured waveforms are closely matched with a constant scaling factor. the ASIC is interfaced with a 5 mm-diameter RF powering coil and four surface-mount components (one inductor and three capacitors) over a thin flexible substrate via bond wires, followed by silicone coating and packaging withthe prototype blood pressure monitoring cuff. the overall system exhibits a weight of 280 mg, representing an order of m
the rapid adoption of mobile phones by society over the last decade and the increasing ability to capture, classifying, and transmit a wide variety of data (image, audio, and location) have enabled a new sensing parad...
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ISBN:
(纸本)9781595937636
the rapid adoption of mobile phones by society over the last decade and the increasing ability to capture, classifying, and transmit a wide variety of data (image, audio, and location) have enabled a new sensing paradigm - where humans carrying mobile phones can act as sensorsystems. Human-in-the-loop sensorsystems raise many new challenges in areas of sensor data quality assessment, mobility and sampling coordination, and user interaction procedures.
Future mobile sensing systems are being designed using 802.15.4 low-power short-range radios for a diverse set of devices from embedded mobile motes to sensor-enabled cellphones in support, for example, of people-cent...
ISBN:
(纸本)9783540776895
Future mobile sensing systems are being designed using 802.15.4 low-power short-range radios for a diverse set of devices from embedded mobile motes to sensor-enabled cellphones in support, for example, of people-centric sensing applications. However, there is little known about the use of 802.15.4 in mobile sensor settings nor its impact on the performance of future communication architectures. We present a set of initial results from a simple yet systematic set of benchmark experiments that offer a number of important insights into the radio characteristics of mobile 802.15.4 person-to-person communication. Our results show that the body factor - that is to say, the human body and where sensors are located on the body (e.g., on the chest, foot, in the pocket) - has a significant effect on the performance of the communications system. While this phenomenon has been discussed in the context of other radios (e.g., cellular, WiFi, UWB) its impact on 802.15.4 based mobile sensor networks is not understood. Other findings that also serve to limit the communication performance include the effective contact times between mobile nodes, and, what we term the zero bandwidth crossing, which is a product of mobility and the body factor. this paper presents a set of initial findings and insights on this topic, and importantly, we consider the impact of these findings on the design of future communication architectures for mobile sensing.
Recently, embeddedsensor usage has increased thanks to the proliferation of hardware and software addressing resource constraints. While the increased usage is a good start, it is important to adopt good software eng...
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ISBN:
(纸本)9781595937636
Recently, embeddedsensor usage has increased thanks to the proliferation of hardware and software addressing resource constraints. While the increased usage is a good start, it is important to adopt good software engineering principles early for many reasons: simplified programming and deployment, improved reuse, and added efficiency. this poster presents SASSI, the Sliverware Architecture for sensor System Integration, which provides a unique embeddedsensor application architecture.
We report the system that collects the data from the sensor network and visualizes the data on real time by three dimensions on a computer. It becomes possible for this system to make a user make the measurement data ...
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ISBN:
(纸本)9781595937636
We report the system that collects the data from the sensor network and visualizes the data on real time by three dimensions on a computer. It becomes possible for this system to make a user make the measurement data on space intuitive.
Wireless ad-hoc sensor networks (WSNs) consist of randomly and densely deployed nodes which self-organize to cooperatively maintain multi-hop network connectivity [1]. the nodes act as both environmental sensors and n...
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ISBN:
(纸本)9781595937636
Wireless ad-hoc sensor networks (WSNs) consist of randomly and densely deployed nodes which self-organize to cooperatively maintain multi-hop network connectivity [1]. the nodes act as both environmental sensors and network routers. the ability to set up distributed sensor networks inexpensively, in large-scale, quickly, and without fixed infrastructure makes them a promising candidate for a host of applications, including military surveillance and disaster relief.
Withthe rapid advances in technologies such as MEMS sensors, low-power embedded processing and wireless networking, sensor networks are becoming more powerful in terms of data acquisition and processing capabilities....
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ISBN:
(纸本)9781595937636
Withthe rapid advances in technologies such as MEMS sensors, low-power embedded processing and wireless networking, sensor networks are becoming more powerful in terms of data acquisition and processing capabilities. sensor networks can now be deployed in the physical world for various important applications such as environmental monitoring, weather monitoring and modeling, military surveillance, healthcare monitoring, tracking of goods and manufacturing processes, smart homes and offices, etc.
Wireless sensor network (WSN) applications are notoriously difficult to develop and debug. this paper describes Clairvoyant which is a comprehensive source-level debugger for wireless, embedded networks. With Clairvoy...
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ISBN:
(纸本)9781595937636
Wireless sensor network (WSN) applications are notoriously difficult to develop and debug. this paper describes Clairvoyant which is a comprehensive source-level debugger for wireless, embedded networks. With Clairvoyant, a developer can wirelessly connect to a sensor network and execute standard debugging commands including break, step, watch, and back-trace, as well as new commands that are specially designed for debugging WSNs. Clairvoyant attempts to minimize its effect on the program being debugged in terms of network load, memory footprint, execution speed, clock consistency, and flash lifetime.
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