Integration of multimetric path management into 802.11S for telemedicine quality of service provision

The merits of 802.11s as the wireless mesh network standard provide a low cost and high independent scalability telemedicine infrastructure. However, challenges in degradation of performance as hops increase and the absence of Quality of Service (QoS) provision need to be resolved. Reliability and timely manner are important factors for successful telemedicine service. This research investigates the use of 802.11s for telemedicine services. A new model of 802.11s based on telemedicine infrastructure has been developed for this purpose. A non deterministic polynomial path selection is proposed to provide end-to-end QoS provisioning in 802.11s. A multi-metric called QoS Price metric is proposed as measurement of link quality. The QoS Price is derived from multi layers values that reflect telemedicine traffic requirement and resource availability of the network. The proposed solution has modified the path management of 802.11s and added resource allocation in distributed scheme. This modification and resource allocation improvement of 802.11s were given the designation medQoS-802.11s. MedQoS- 802.11s could provide a link guarantee of telemedicine traffic transmission in the selected path. MedQoS-802.11s had been tested using ns3 simulation and real environment testbed. The result has shown that medQoS-802.11s could achieve the traffic guarantee for almost 95% telemedicine traffic with 58% for the resource intensive diagnostic video traffic. It has also shown that the cost of link path overhead is efficient with the transmission overhead having an increment of 6% compared to the original 802.11s. The concurrent connection results for single time transmission shows that medQoS-802.11s has a significant increase of up to 12% traffic than original 802.11s. The testbed results have verified the QoS guarantee of the intended telemedicine traffic per transmission time. In summary, the reliability and time guarantee of medQoS has highly improved 802.11s to transmit telemedicine traffic

Emergency Prenatal Telemonitoring System in Wireless Mesh Network

Telemedicine promises a great opportunity for health care service improvement. However, it has several issues for its implementation in certain area. They include communication service quality, infrastructure and operational cost. Since Wireless Mesh Network (WMN) is designed to reduce the infrastructure cost and operational cost, an investigation of network performance for implementation of telemedicine is required.  In this paper, a simulation to investigate the wireless mesh network quality of service.  Using network simulator 2, The QoS performance analysis was performed in different routing protocol scenarios of proposed system. It showed that OLSR protocol for Mesh Network maintained the time transfer of the EPT data. The field testing of the proposed system to measure the distance with various time has already been done.  The infrastructure has been also implemented using low cost 5.8 GHz transceiver for backhauls and low cost 2.4 GHz transceiver for clients.  Test result shows that the low cost telemedicine system is able to do real time communication between patient and medical staff with medical data rate up to 2 Mbps. It shows that telemonitoring system using wireless mesh network can give a low cost application in emergency time with acceptable medical data transfer quality.

802.11s QoS Routing for Telemedicine Service

The merits of 802.11s as the wireless mesh network standard provide a lowcost and high independent scalability telemedicine infrastructure. However,challenges in degradation of performance as hops increase and the absent of Quality of Service (QoS) provision need to be resolved. The reliability and timely manner are the important factor for successful telemedicine service. This research investigates the use of 802.11s for telemedicine services. A new model of 802.11s based telemedicine infrastructure has been developed for this purpose. A non deterministic polynomial path selection is proposed to provide end-to-end QoS provisioning in 802.11s. A multi-metric called QoS Price metric is proposed as measurement of link quality. The QoS Price is derived from multi layers values that reflect telemedicine traffic requirement and the resource availability of the network. The proposed solution has modified the path management of 802.11s and added resource allocation in distributed scheme.DOI:http://dx.doi.org/10.11591/ijece.v4i2.559

A New Method for Minimizing the Unnecessary Handover in High-Speed Scenario

The application of Wireless Local Area Network (WLAN) is limited to indoor or pedestrian walking speed environment because the small WLAN coverage will lead to the growth of unnecessary handover rate in high-speed scenario. The previously proposed traveling distance prediction based handover methods assumed mobile terminal (MT) travels at a constant speed is impractical as most of the MTs may not be traveling at constant speed in real environment. These methods have poor performance in case of acceleration because MT will leave the network earlier than the estimated time. In this paper, a new traveling distance prediction based handover scheme that is aware of MT's speed changes is proposed to overcome the limitation of the existing methods. The proposed scheme is adapted to the MT velocity and acceleration or deceleration rate. The numerical result shows that the performance of the proposed scheme is better than the existing handover methods in high-speed scenario. It keeps the probability of unnecessary handover within the user acceptable level in high-speed scenario

Adaptive quantization for spectrum exchange information in mobile cognitive radio networks

To reduce the detection failure of the exchanging signal power onto the OFDM subcarrier signal at uniform quantization, dynamic subcarrier mapping is applied. Moreover, to addressing low SNR’s wall-less than pre-determine threshold, non-uniform quantization or adaptive quantization for the signal quantization size parameter is proposed. μ-law is adopted for adaptive quantization subcarrier mapping which is deployed in mobility environment, such as Doppler Effect and Rayleigh Fading propagation. In this works, sensing node received signal power then sampled into a different polarity positive and negative in μ-law quantization and divided into several segmentation levels. Each segmentation levels are divided into several sub-segment has representing one tone signal subcarrier number OFDM which has the number of quantization level and the width power. The results show that by using both methods, a significant difference is obtained around 8 dB compared to those not using the adaptive method

Software Defined Radio Design for OFDM Based Spectrum Exchange Information Using Arduino UNO and X-Bee

A cost expenditure of software defined radio software has limiting the development of cognitive radio in third countries. Moreover, a complexity of signal processing library in a SDR platform has contributed to the hard implementation in real applications. In this works, the development of SDR platform with low cost expenditure is proposed. Arduino UNO and X Bee uses for the OFDM based spectrum exchange information. In a case of spectrum sensing scenario, the objective of the local spectrum sensing is to detect the PU’s signal detection. The performance of SN ability to sense the PU’s signal is crucial. It was shown that from the previous works as the detected power is quantized into information bit is simulated.  In  order  to  implemented  the  spectrum exchange  information during  sensing,  Arduino  UNO  and  X  Bee  is implemented to sense the presence of PU activity channels of wifi terminals based on the energy of the signals. The detected power (RSSI) of wifi terminals is exchanged into an OFDM subcarrier tone signal such as orthogonal sub-channel that being equally divided from the licensed band.   The results shows that using proposed software defined radio (SDR) based on Arduino and X Bee, the cognitive radio spectrum sensing is applied. The received power from the PU’s channels such as wifi networks can be detected as well. The system could received and exchanged into OFDM-based subcarrier information bits

Development of Embedded System for Centralized Insomnia System

Insomnia is a common health problem in medical field as well as in psychiatry. The measurement of those factors could be collected by using polysomnography as one of the current standards. However, due to the routine of clinical assessment, the polysomnography is impractical and limited to be used in certain place. The rapid progress of electronic sensors to support IoT in health telemonitoring should provide the real time diagnosis of patient at home too. In this research, the development of centralized insomnia system for recording and analysis of patient with chronic-insomnia data is proposed. The system is composed from multi body sensors that connected to main IOT server. The test has been done for 5 patients and the result has been successfully retrieved in real time

Neural Network on Mortality Prediction for the Patient Admitted with ADHF (Acute Decompensated Heart Failure)

Patient admitted with acute decompensated heart failure (ADHF) facing with high risk of mortality where 30 day mortality rates are reaching 10%. Identifying patient with high and low risk of mortality could improve clinical outcomes and hospital resources allocation. This paper proposed the use of artificial neural network to predict mortality for the patient admitted with ADHF. Results show that artificial neural network can predict mortality for ADHF patient with good prediction accuracy of 94.73% accuracy for training dataset and 91.65% for test dataset

LOW COST WIRELESS ECG PATCH USING ESP32

Wearable-and-wireless Electrocardiograph (ECG) has been widely used for long term monitoring due to practical reasons. Besides its high Signal to Noise Ratio (SNR), one of patch benefits is its flexibility for users to place the electrodes. However, most of existing commercial wireless ECG patches displays Heart Rate Variability (HRV) only, without ability to provide or record the ECG waveform. Some of them employ two electrodes only: Right Arm (RA) and Left Arm (LA), without additional electrode called Right Arm Drive (RLD). In addition, It is beneficial to provide more than one wireless technology option for ECG patch. We propose a low cost wireless ECG patch that has ability to provide ECG waveform (Lead I) and calculate HRV automatically. Besides RA and LA, it utilized RLD electrode to increase Common Mode Rejection Ratio (CMRR). For data processing, we employed ESP32, a low-power 32-bit microcontroller equipped with Bluetooth Classic (BT), Bluetooth Low Energy (BLE), and Wifi in a compact module. The test results showed that the proposed ECG patch resulted in more accurate HRV calculation as well as 2,7 times faster transition time compared to a commercial product.Elektrokardiograf (ECG) yang bersifat wearable dan nirkabel telah banyak digunakan untuk monitoring jangka panjang karena alasan praktis. Selain Signal to Noise Ratio (SNR) yang tinggi, salah satu manfaat ECG dalam bentuk patch adalah fleksibilitasnya bagi pengguna dalam menempatkan elektroda. Sebagian besar ECG patch nirkabel komersial yang ada di pasaran hanya dapat menampilkan Heart Rate Variability (HRV) saja, tanpa kemampuan untuk menyediakan atau merekam gelombang EKG. Beberapa produk komersial menggunakan dua elektroda saja: Right Arm (RA) dan Left Arm (LA), tanpa elektroda tambahan yang disebut Right Arm Drive (RLD). Selain itu, menyediakan lebih dari satu opsi teknologi nirkabel untuk ECG patch merupakan keuntungan tambahan. Pada penelitian ini, kami membuat ECG patch nirkabel berbiaya rendah yang memiliki kemampuan untuk menyediakan bentuk gelombang EKG (Lead I) dan menghitung HRV secara otomatis. Selain RA dan LA, alat ini menggunakan elektroda RLD untuk meningkatkan Common Mode Rejection Ratio (CMRR). Untuk pemrosesan data, kami menggunakan ESP32, mikrokontroler 32-bit berdaya rendah yang dilengkapi dengan Bluetooth Classic (BT), Bluetooth Low Energy (BLE), dan Wifi dalam modul yang ringkas. Hasil tes menunjukkan bahwa ECG patch yang dibuat menghasilkan perhitungan HRV yang lebih akurat serta waktu transisi 2,7 kali lebih cepat dibandingkan dengan produk komersial yang kami jadikan referensi

Left Ventricle Heart Three Dimension Mechanical Simulation for Kinetic Energy

The major drawbacks of current pacemaker are the battery replacement. Patient will need additional surgery to replace the pacemaker unit with the new one. It has been suggested to use rechargeable battery to solve this issue. Recharging a battery within the body, however, is not viable owing to the lifetime of tissue heating and battery charging. For these purposes, the use of piezo-polymer is appropriate as a power harvester for a self-powered pacemaker. Piezo-polymer was commonly used for energy harvesting, but none for implantable cardiothoracic devices. This study focuses on identifying the optimum location on the heart to put the piezo-polymer. This research is conducted by simulation of left ventricle of heart via ANSYS. Heart stress-strain Finite Element Analysis (FEA) are employed to obtain the maximum harvested power. The result shows the location of myocardial contraction that produces sufficient kinetic energy for the placement of the pacemaker. The heart 3-dimensional images are taken from cardiac-CT or cardiac-MRI to search the optimum location on the heart for energy harvesting and minimize pacing energy. Left ventricle electronics model is created to represent the movement of the left ventricle and how piezo-polymer works. In conclusion, the left ventricular wall movement and deformation induced by the movement of the cardiac wall were analyzed in the simulation using the left ventricular model to obtain the place of the peak kinetic energy