Brain wave interfaced electric wheelchair for disabled &amp; paralysed persons

Prasad, Brij Kishore; Singh, Chandra Veer; Singh, Krishna Kant

doi:10.1201/9781315364094-139

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…In comparison to other published sensor network studies, our system has two unique points that made it particularly well suited to our study site. First, our system is "stand-alone", meaning that it does not rely on existing WiFi or LoRa base stations for transmitting data to the internet-a common feature of some of the more commonly used agricultural network systems (Prasad et al, 2016;Thakur et al, 2019). These base-stations generally require large power supplies and, in the case of WiFi connections, can only communicate over a few 100 m. In contrast, our implementation of an ad-hoc LoRa network enables both very long-range communication between EMU sensors and nodes (i.e.…”

Section: Day Of Yearmentioning

confidence: 99%

Arduinos in the wild: A novel, low‐cost sensor network for high‐resolution microclimate monitoring in remote ecosystems

Mühlbauer,

Zavattoni,

Virtanen

et al. 2023

Ecol Sol and Evidence

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The importance of microclimate conditions is becoming increasingly recognised in ecological research, especially as they can differ widely from macro‐ and mesoclimate. Effective measurement of microclimate variability in heterogeneous field conditions requires measurements from a large number of sensors, ideally sampling across both small and large scales, which necessitates the development of cost‐effective sensor networks. Here, we develop an environmental microcontroller (EMU) sensor network for measuring soil moisture and temperature with high spatiotemporal coverage. The system can easily be implemented in larger or smaller setups, though our study consisted of 40 plots distributed across 4 sites in northern Lapland. Using 40 EMUs, each equipped with 10 soil temperature and 10 soil moisture sensors, we collected roughly 3.5 million unique soil temperature and moisture records over the course of about 2 months. We then compared these measurements to those from commercial temperature sensors (iButtons) and TDR soil moisture probes. We show that our sensor network is able to successfully characterise microclimate variation at the site, plot and within‐plot scales with high accuracy and good reliability. Moreover, even including development costs, the total price per EMU unit was less than €100, yielding a much cheaper and higher resolution system than is currently available from commercial producers. For both temperature and soil moisture, we found a strong relationship between the sensor network measurement and those obtained from commercial systems. Roughly 10% of the overall spatial variation in temperature and moisture occurred within plots—that is. over the scale of 25–50 cm. Our results show that accurate measurements of microclimate soil temperature and soil moisture can be obtained using low‐cost sensor networks. We also show that microclimate variability at small scales can make up a considerable fraction of total environmental variability. To this end, we discuss some of the difficulties encountered during the development process and suggest possible improvements for further studies. While the sensor network described here can be applied without any modifications for quantifying topsoil conditions, we note that with minor changes to our code and hardware, the system can be customised for other kinds of measurements.

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Section: Day Of Yearmentioning

confidence: 99%

Arduinos in the wild: A novel, low‐cost sensor network for high‐resolution microclimate monitoring in remote ecosystems

Mühlbauer,

Zavattoni,

Virtanen

et al. 2023

Ecol Sol and Evidence

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Artificial itelligence in medicine

Singh¹,

Tripathi²,

Singh

et al. 2021

Machine Learning and the Internet of Medical Things in Healthcare

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Portable wireless electrocorticography system with a flexible microelectrodes array for epilepsy treatment

Xie

Zhang

Dong

et al. 2017

Sci Rep

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In this paper, we present a portable wireless electrocorticography (ECoG) system. It uses a high resolution 32-channel flexible ECoG electrodes array to collect electrical signals of brain activities and to stimulate the lesions. Electronic circuits are designed for signal acquisition, processing and transmission using Bluetooth Low Energy 4 (LTE4) for wireless communication with cell phone. In-vivo experiments on a rat show that the flexible ECoG system can accurately record electrical signals of brain activities and transmit them to cell phone with a maximal sampling rate of 30 ksampling/s per channel. It demonstrates that the epilepsy lesions can be detected, located and treated through the ECoG system. The wireless ECoG system has low energy consumption and high brain spatial resolution, thus has great prospects for future application.

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Brain wave interfaced electric wheelchair for disabled & paralysed persons

Cited by 3 publications

References 5 publications

Arduinos in the wild: A novel, low‐cost sensor network for high‐resolution microclimate monitoring in remote ecosystems

Arduinos in the wild: A novel, low‐cost sensor network for high‐resolution microclimate monitoring in remote ecosystems

Artificial itelligence in medicine

Portable wireless electrocorticography system with a flexible microelectrodes array for epilepsy treatment

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