An Implementation of Wireless Sensor Network in Monitoring of Parkinson's Patients Using Received Signal Strength Indicator

Jamthe, Anagha; Chakraborty, Suryadip; Ghosh, Sudip; Agrawal, Dharma P.

doi:10.1109/dcoss.2013.28

Cited by 14 publications

(7 citation statements)

References 7 publications

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“…There are different levels of coverage for location tracking applications. For instance, some 54,55 have systems that allow for a single room to be monitored, whereas others [56][57][58] give location awareness for multiple (three to four) rooms in a home.…”

Section: Location Awarenessmentioning

confidence: 99%

Edge computing in smart health care systems: Review, challenges, and research directions

Hartmann

Hashmi

Imran

2019

Trans Emerging Tel Tech

143

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Today, patients are demanding a newer and more sophisticated healthcare system, one that is more personalized and matches the speed of modern life. For the latency and energy efficiency requirements to be met for a real-time collection and analysis of health data, an edge computing environment is the answer, combined with 5G speeds and modern computing techniques. Previous healthcare surveys have focused on new fog architecture and sensor types, which leaves untouched the aspect of optimal computing techniques, such as encryption, authentication, and classification that are used on the devices deployed in an edge computing architecture. This paper aims first to survey the current and emerging edge computing architectures and techniques for healthcare applications, as well as identify requirements and challenges of devices for various use cases. Edge computing applications primarily focus on the classification of health data involving vital sign monitoring and fall detection. Other low latency applications perform specific symptom monitoring for diseases, such as gait abnormalities in Parkinson's disease patients. We also present our exhaustive review on edge computing data operations that include transmission, encryption, authentication, classification, reduction and prediction. Even with these advantages, edge computing has some associated challenges, including requirements for sophisticated privacy and data reduction methods to allow comparable performance to their Cloud based counterparts, but with lower computational complexity. Future research directions in edge computing for healthcare have been identified to offer a higher quality of life for users if addressed.

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Section: Location Awarenessmentioning

confidence: 99%

Edge computing in smart health care systems: Review, challenges, and research directions

Hartmann

Hashmi

Imran

2019

Trans Emerging Tel Tech

143

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“…The popularity of Wireless body area network (WBAN) in healthcare monitoring is increasing tremendously due to its potential applications such as monitoring elderly at home or athletes during their training and rehabilitation process [1]. WBAN is rapidly replacing wired healthcare devices due to its versatility such as ease of use and low power requirements.…”

Section: Introductionmentioning

confidence: 99%

Scheduling Transmissions of Coexisting Wireless Body Area Networks Using Minimum Weight Match

Jamthe

Agrawal

2014

Lecture Notes in Electrical Engineering

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Wireless Body Area Network (WBAN) is extensively being used for ubiquitous health care monitoring. Coexisting multiple WBANs could possibly suffer from high interference and thus an appropriate scheduling scheme is desirable to improve network throughput for interfering nodes. The received Signal to Interference and Noise Ratio (SINR) from the sensors in the overlapped region of two or more WBANs which use the same transmitting frequency drops. This decrease is an indicator of inter-WBAN interference. Hence, we propose a scheduling algorithm which assigns the node with minimum SINR to first available transmission slot and so on. Thus, the nodes which suffer maximum interference are given higher priority to transmit in the revised Time division multiple access (TDMA) schedules. The local coordinator of each WBAN exchange messages with the interfering WBAN's coordinator and then tries to suppress interference by creating a new TDMA schedule for interfering nodes. Results obtained using simulations are encouraging as they indicate that minimum weight match scheduling can improve the packet drop rate and thus enhance the network performance.

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“…Untuk mengawasi dan memantau penderita vertigo apakah terjadi insiden pusing, jatuh atau tidak, diperlukan suatu alat yang berfungsi untuk mengetahui keadaan posisi penderita vertigo itu sendiri menggunakan accelerometer dari jarak dekat maupun jauh. Beberapa penelitian terkait monitoring kesehatan telah dilakukan , Anagha Jamthe dkk, menggunakan force sensor yang diletakkan pada kaus kaki pasien parkinson, menggunakan RSSI indicator untuk dikirimkan ke base station (BS), dengan nilai RSSI akan diketahui posisi pasien [1]. ] Harun, M Udin Rasyid dkk mengembangkan mobile monitoring Electromyogram (EMG) berbasis wsn menggunakan e-health sensors platform, hasil pembacaan sensor akan ditampilkan pada aplikasi mobile.…”

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“…Semua penelitian diatas hanya fokus pada monitoring dan menggunakan komunikasi jaringan internet [1,2,4] yang tentu saja menambah biaya, selain itu tidak ada peringatan dan pemberitahuan baik kepada dokter atau keluarga pasien beresiko jika terjadi sesuatu pada pasien. Pada penelitian kami membuat alat portable berbiaya rendah untuk mengawasi dan memantau pasien beresiko vertigo apakah terjadi insiden pusing, jatuh atau tidak.…”

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Rancang Bangun Alat Pengawasan Kondisi Penderita Vertigo Menggunakan Accelerometer Berbasis Mikrokontroler

Yulastri¹,

Madona

Efrizon

2018

EJI

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This research designs and makes low-cost portable devices to monitor risk patients losing their balance such as vertigo patients and cause dizziness, fall or not. This tool can determine the patient condition and send information in SMS notification and telephone calls to the patient's family. This tool uses ATmega 328 (Arduino Uno) and tilt sensor HMC5883L (accelerometer) GY-273 as the patient's body tilt detector and GSM SIM800L module for sending SMS notifications and phone calls for remote information while for short range notifications used LEDs and Buzzers. The position detection of vertigo patients works by reading the slope of the patient's body with a tilt sensor (accelerometer) and if the patient's position is no longer robust or unbalanced, then this condition trigger the GSM SIM800L module activate phone calls. When the patient falls and presses the push button, this condition ask the GSM SIM800L module sending SMS notifications. The results of testing performed on the device in detecting falls as much as 30 times, obtained the value of the sensitivity of dizziness activity by 87% and the value of sensitivity on activity fell by 90%. The system requires an average of 8 seconds after the activity falls to send SMS notifications to users of telephone numbers, and also requires an average of 5 to 6 seconds after dizziness to make phone calls to users of telephone numbers. It is expected that the making of this tool can ease monitoring in vertigo patients while on the move

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An Implementation of Wireless Sensor Network in Monitoring of Parkinson's Patients Using Received Signal Strength Indicator

Cited by 14 publications

References 7 publications

Edge computing in smart health care systems: Review, challenges, and research directions

Edge computing in smart health care systems: Review, challenges, and research directions

Scheduling Transmissions of Coexisting Wireless Body Area Networks Using Minimum Weight Match

Rancang Bangun Alat Pengawasan Kondisi Penderita Vertigo Menggunakan Accelerometer Berbasis Mikrokontroler

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