AS
A.S.M. Steijlen
info
Please Note
<p>This page displays the records of the person named above and is not linked to a unique person identifier. This record may need to be merged to a profile.</p>
4 records found
1
Contactless Inductive Power and Data Transfer
For use in E-Textiles
Distributing power and data around a garment is a common problem in sensor enabled e-textiles, as connecting separate electronic subsystems together using connectors and wires has proven to be unreliable and cumbersome. In this work a solution is presented that will eliminate the connectors by using two pairs of short-range wireless inductive links. The proposed system is able carry power from one node to the next, while at the same time facilitating data transfer between the nodes. In this work the double inductive link is analysed, and a novel compensation topology is presented. A modified class-E amplifier is proposed to generate a carrier signal, improving the system settling time. Using a placeholder data protocol the system is able to transmit 62mW of regulated power to an external load at a total efficiency of 7.3%, while simultaneously transmitting data at a rate of 8.5kbit/s. Without data transmission it is able to deliver 185mW of DC power at 6.09V unregulated, at an efficiency of 23%. The system is also shown to be capable of handling a maximum bitstream of 240kbit/s.
...
...
Distributing power and data around a garment is a common problem in sensor enabled e-textiles, as connecting separate electronic subsystems together using connectors and wires has proven to be unreliable and cumbersome. In this work a solution is presented that will eliminate the connectors by using two pairs of short-range wireless inductive links. The proposed system is able carry power from one node to the next, while at the same time facilitating data transfer between the nodes. In this work the double inductive link is analysed, and a novel compensation topology is presented. A modified class-E amplifier is proposed to generate a carrier signal, improving the system settling time. Using a placeholder data protocol the system is able to transmit 62mW of regulated power to an external load at a total efficiency of 7.3%, while simultaneously transmitting data at a rate of 8.5kbit/s. Without data transmission it is able to deliver 185mW of DC power at 6.09V unregulated, at an efficiency of 23%. The system is also shown to be capable of handling a maximum bitstream of 240kbit/s.
In football, most of the injuries occur in the lower extremities of the athletes. The leading cause of this is high muscle stress during explosive actions. To be able to prevent injuries, the Dutch Football Association (KNVB) and Dutch Hockey Association (KNHB) are working on smart sensor shorts in collaboration with the Delft University of Technology. The human movement scientists from the VU and RUG use these sensor shorts to develop a model which can predict potential incidents. The product’s goal is for the physical trainer to use it to monitor the team in real-time during a game or training.
The physical trainer will use a computer to analyze all the data. The sensor shorts consist of 3 Inertial Measurement Units (IMUs). Each IMU measures the angular velocity (dps), linear acceleration (g), and magnetic field (µT) with a ampling rate of 250 Hz. The high volume of data due to the high sampling rate induces challenges for wireless communication and design.
The sensor shorts can, at the moment, read out the IMUs and compress the sensor data. Besides, possible antennas for the sensor shorts have already been looked at. This thesis will continue with the communication link between the sensor shorts and the computer used by the physical trainer. The thesis will be focused on designing a reliable system for wireless communication. Multiple challenges must be faced to develop a reliable wireless communication system with minimal size. The challenges are the minimum amount of resources available, high data rate, large area to cover for communication, and obstruction due to the human body.
According to literature about monitoring devices currently described in the literature used for football, eight base stations are needed around the football field. The goal is to minimize the number of base stations so that the system can be easily set up. For the development of the system, first, the different Data Collection Protocols(DCP) are examined. Based on the network topology corresponding to the DCP, we want to choose a DCP that is the most efficient and reliable. The Direct Delivery protocol was chosen as most suited in combination with WiFi operating at 2.4 GHz. WiFi can deal with the high data rates and communicate over large distances.
The number of base stations needed is determined based on tests performed on the football field. The choice was made to place the antenna of the sensor shorts on the back of the athlete because there it has the most negligible chance of obstruction due to the athlete’s limbs. The athlete’s own body could cause attenuation of 10 dBm. Additionally, it was chosen to have the base station at 2.2 m height, to have fewer chances of obstruction due to the athletes on the football field. Multiple tests have been performed to determine how many base stations are needed. First, the possible signal strength values of the sensor shorts around the football field have been measured for a single base station. After that, a relation between the measured signal strength and possible loss and delay has been established. These results made it clear that more than one base station is needed. In tests with two base stations, it became clear that data might get lost when there is no base station in the radiation plane of the patch antenna of the sensor shorts. Therefore the choice was made to have four base stations, one on each corner of the football field, so that there is always a base station in the radiation plane of the patch antenna. Based on the test results, the choice was made to have four base stations, one on each corner of the football field. Assuming that the sensor shorts’ RSSI values are always higher than −80 dBm, the system with four base stations would have a loss of less than 5%. The upper boundary for the delay would be 5 s.
...
The physical trainer will use a computer to analyze all the data. The sensor shorts consist of 3 Inertial Measurement Units (IMUs). Each IMU measures the angular velocity (dps), linear acceleration (g), and magnetic field (µT) with a ampling rate of 250 Hz. The high volume of data due to the high sampling rate induces challenges for wireless communication and design.
The sensor shorts can, at the moment, read out the IMUs and compress the sensor data. Besides, possible antennas for the sensor shorts have already been looked at. This thesis will continue with the communication link between the sensor shorts and the computer used by the physical trainer. The thesis will be focused on designing a reliable system for wireless communication. Multiple challenges must be faced to develop a reliable wireless communication system with minimal size. The challenges are the minimum amount of resources available, high data rate, large area to cover for communication, and obstruction due to the human body.
According to literature about monitoring devices currently described in the literature used for football, eight base stations are needed around the football field. The goal is to minimize the number of base stations so that the system can be easily set up. For the development of the system, first, the different Data Collection Protocols(DCP) are examined. Based on the network topology corresponding to the DCP, we want to choose a DCP that is the most efficient and reliable. The Direct Delivery protocol was chosen as most suited in combination with WiFi operating at 2.4 GHz. WiFi can deal with the high data rates and communicate over large distances.
The number of base stations needed is determined based on tests performed on the football field. The choice was made to place the antenna of the sensor shorts on the back of the athlete because there it has the most negligible chance of obstruction due to the athlete’s limbs. The athlete’s own body could cause attenuation of 10 dBm. Additionally, it was chosen to have the base station at 2.2 m height, to have fewer chances of obstruction due to the athletes on the football field. Multiple tests have been performed to determine how many base stations are needed. First, the possible signal strength values of the sensor shorts around the football field have been measured for a single base station. After that, a relation between the measured signal strength and possible loss and delay has been established. These results made it clear that more than one base station is needed. In tests with two base stations, it became clear that data might get lost when there is no base station in the radiation plane of the patch antenna of the sensor shorts. Therefore the choice was made to have four base stations, one on each corner of the football field, so that there is always a base station in the radiation plane of the patch antenna. Based on the test results, the choice was made to have four base stations, one on each corner of the football field. Assuming that the sensor shorts’ RSSI values are always higher than −80 dBm, the system with four base stations would have a loss of less than 5%. The upper boundary for the delay would be 5 s.
...
In football, most of the injuries occur in the lower extremities of the athletes. The leading cause of this is high muscle stress during explosive actions. To be able to prevent injuries, the Dutch Football Association (KNVB) and Dutch Hockey Association (KNHB) are working on smart sensor shorts in collaboration with the Delft University of Technology. The human movement scientists from the VU and RUG use these sensor shorts to develop a model which can predict potential incidents. The product’s goal is for the physical trainer to use it to monitor the team in real-time during a game or training.
The physical trainer will use a computer to analyze all the data. The sensor shorts consist of 3 Inertial Measurement Units (IMUs). Each IMU measures the angular velocity (dps), linear acceleration (g), and magnetic field (µT) with a ampling rate of 250 Hz. The high volume of data due to the high sampling rate induces challenges for wireless communication and design.
The sensor shorts can, at the moment, read out the IMUs and compress the sensor data. Besides, possible antennas for the sensor shorts have already been looked at. This thesis will continue with the communication link between the sensor shorts and the computer used by the physical trainer. The thesis will be focused on designing a reliable system for wireless communication. Multiple challenges must be faced to develop a reliable wireless communication system with minimal size. The challenges are the minimum amount of resources available, high data rate, large area to cover for communication, and obstruction due to the human body.
According to literature about monitoring devices currently described in the literature used for football, eight base stations are needed around the football field. The goal is to minimize the number of base stations so that the system can be easily set up. For the development of the system, first, the different Data Collection Protocols(DCP) are examined. Based on the network topology corresponding to the DCP, we want to choose a DCP that is the most efficient and reliable. The Direct Delivery protocol was chosen as most suited in combination with WiFi operating at 2.4 GHz. WiFi can deal with the high data rates and communicate over large distances.
The number of base stations needed is determined based on tests performed on the football field. The choice was made to place the antenna of the sensor shorts on the back of the athlete because there it has the most negligible chance of obstruction due to the athlete’s limbs. The athlete’s own body could cause attenuation of 10 dBm. Additionally, it was chosen to have the base station at 2.2 m height, to have fewer chances of obstruction due to the athletes on the football field. Multiple tests have been performed to determine how many base stations are needed. First, the possible signal strength values of the sensor shorts around the football field have been measured for a single base station. After that, a relation between the measured signal strength and possible loss and delay has been established. These results made it clear that more than one base station is needed. In tests with two base stations, it became clear that data might get lost when there is no base station in the radiation plane of the patch antenna of the sensor shorts. Therefore the choice was made to have four base stations, one on each corner of the football field, so that there is always a base station in the radiation plane of the patch antenna. Based on the test results, the choice was made to have four base stations, one on each corner of the football field. Assuming that the sensor shorts’ RSSI values are always higher than −80 dBm, the system with four base stations would have a loss of less than 5%. The upper boundary for the delay would be 5 s.
The physical trainer will use a computer to analyze all the data. The sensor shorts consist of 3 Inertial Measurement Units (IMUs). Each IMU measures the angular velocity (dps), linear acceleration (g), and magnetic field (µT) with a ampling rate of 250 Hz. The high volume of data due to the high sampling rate induces challenges for wireless communication and design.
The sensor shorts can, at the moment, read out the IMUs and compress the sensor data. Besides, possible antennas for the sensor shorts have already been looked at. This thesis will continue with the communication link between the sensor shorts and the computer used by the physical trainer. The thesis will be focused on designing a reliable system for wireless communication. Multiple challenges must be faced to develop a reliable wireless communication system with minimal size. The challenges are the minimum amount of resources available, high data rate, large area to cover for communication, and obstruction due to the human body.
According to literature about monitoring devices currently described in the literature used for football, eight base stations are needed around the football field. The goal is to minimize the number of base stations so that the system can be easily set up. For the development of the system, first, the different Data Collection Protocols(DCP) are examined. Based on the network topology corresponding to the DCP, we want to choose a DCP that is the most efficient and reliable. The Direct Delivery protocol was chosen as most suited in combination with WiFi operating at 2.4 GHz. WiFi can deal with the high data rates and communicate over large distances.
The number of base stations needed is determined based on tests performed on the football field. The choice was made to place the antenna of the sensor shorts on the back of the athlete because there it has the most negligible chance of obstruction due to the athlete’s limbs. The athlete’s own body could cause attenuation of 10 dBm. Additionally, it was chosen to have the base station at 2.2 m height, to have fewer chances of obstruction due to the athletes on the football field. Multiple tests have been performed to determine how many base stations are needed. First, the possible signal strength values of the sensor shorts around the football field have been measured for a single base station. After that, a relation between the measured signal strength and possible loss and delay has been established. These results made it clear that more than one base station is needed. In tests with two base stations, it became clear that data might get lost when there is no base station in the radiation plane of the patch antenna of the sensor shorts. Therefore the choice was made to have four base stations, one on each corner of the football field, so that there is always a base station in the radiation plane of the patch antenna. Based on the test results, the choice was made to have four base stations, one on each corner of the football field. Assuming that the sensor shorts’ RSSI values are always higher than −80 dBm, the system with four base stations would have a loss of less than 5%. The upper boundary for the delay would be 5 s.
Sweat analysis has the potential to become a new method in the wearable monitoring technology market by providing new and more precise physiological parameters. The need for more accurate sweat sensors has not allowed setting a correlation between sweat constituents and a person's health status. The development of this research field could lead to the creation of a new non-invasive method in the medical sector. This study provides a new sweat analysis method for real-time health monitoring while performing physical activity. A sweat analysis system has been developed for the analysis of sodium and chloride ions found in sweat. A patch is adhered to the skin, wicking sweat by capillary action into a microchannel system. The integration of a potentiometric sensor inside this patch allows for the analysis of sweat in situ. Two ion-selective electrodes and a reference electrode are produced and tested for the correct functioning of the sensor. In addition, a read-out circuit is used for the real-time monitoring of sweat ion concentrations during physiological experiments carried on an ergometer. The developed sweat analysis system proved to be a functional device capable of collecting and analyzing sweat in real-time. Wireless data transmission would avoid malfunctions in the system's connection and allow new tests in different sports environments. Future research should focus on validating the sensor with further physiological tests to set a stronger relationship between ionic sweat concentrations and the health status of a person.
...
Sweat analysis has the potential to become a new method in the wearable monitoring technology market by providing new and more precise physiological parameters. The need for more accurate sweat sensors has not allowed setting a correlation between sweat constituents and a person's health status. The development of this research field could lead to the creation of a new non-invasive method in the medical sector. This study provides a new sweat analysis method for real-time health monitoring while performing physical activity. A sweat analysis system has been developed for the analysis of sodium and chloride ions found in sweat. A patch is adhered to the skin, wicking sweat by capillary action into a microchannel system. The integration of a potentiometric sensor inside this patch allows for the analysis of sweat in situ. Two ion-selective electrodes and a reference electrode are produced and tested for the correct functioning of the sensor. In addition, a read-out circuit is used for the real-time monitoring of sweat ion concentrations during physiological experiments carried on an ergometer. The developed sweat analysis system proved to be a functional device capable of collecting and analyzing sweat in real-time. Wireless data transmission would avoid malfunctions in the system's connection and allow new tests in different sports environments. Future research should focus on validating the sensor with further physiological tests to set a stronger relationship between ionic sweat concentrations and the health status of a person.