New applications of ultrasound-based muscle activity sensing for rehabilitation engineering

2021 ◽  
Vol 150 (4) ◽  
pp. A289-A289
Author(s):  
Siddhartha Sikdar ◽  
Ahmed Bashatah ◽  
Joseph Majdi ◽  
Parag V. Chitnis
Keyword(s):  
Muscle Activity ◽  
Rehabilitation Engineering ◽  
New Applications ◽  
Activity Sensing

Exploring LoRa for Sensing

2021 ◽  
Vol 25 (2) ◽  
pp. 33-37
Author(s):  
Fusang Zhang ◽  
Zhaoxin Chang ◽  
Jie Xiong ◽  
Daqing Zhang
Keyword(s):  
Long Range ◽  
Small Range ◽  
Wireless Sensing ◽  
60 Ghz ◽  
Wireless Technologies ◽  
Sensing Range ◽  
Wireless Signal ◽  
New Applications ◽  
Passive Localization ◽  
Activity Sensing

Wireless sensing received a great amount of attention in recent years and various wireless technologies have been exploited for sensing, including WiFi [1], RFID [2], ultrasound [3], 60 GHz mmWave [4] and visible light [5]. The key advantage of wireless sensing over traditional sensing is that the target does not need to be equipped with any sensor(s) and the wireless signal itself is being used for sensing. Exciting new applications have been enabled, such as passive localization [6] and contactless human activity sensing [7]. While promising in many aspects, one key limitation of current wireless sensing techniques is the very small sensing range. This is because while both direct path and reflection path signals are used for communication, only the weak target-reflection signals can be used for sensing. Take Wi-Fi as an example: the communication range can reach 20 to 50 meters indoors but its sensing range is merely 4 to 8 meters. This small range further limits the through-wall sensing capability of Wi-Fi. On the other hand, many applications do require long-range and through-wall sensing capability. In a fire rescue scenario, the sensing device cannot be placed close to the building, and the long-range through-wall sensing capabilities are critical for detecting people deep inside the building. Table I summarizes the sensing range of existing wireless technologies. We can see that long-range through-wall sensing is still missing with wireless sensing.

Ultrasound–Based Muscle Activity Sensing for Intuitive Proportional Control in Upper Extremity Amputees

2018 ◽  
Vol 99 (10) ◽  
pp. e83-e84
Author(s):  
Biswarup Mukherjee ◽  
Ananya S. Dhawan ◽  
Shriniwas Patwardhan ◽  
Joseph Majdi ◽  
Rahsaan J. Holley ◽  
...  
Keyword(s):  
Upper Extremity ◽  
Muscle Activity ◽  
Proportional Control ◽  
Activity Sensing

scholarly journals Wearable embroidered muscle activity sensing device for the human upper leg

2016 ◽  
Author(s):  
R.B. Ribas Manero ◽  
A. Shafti ◽  
B. Michael ◽  
J. Grewal ◽  
J. Ll. Ribas Fernandez ◽  
...  
Keyword(s):  
Muscle Activity ◽  
Activity Sensing

1250-kilovolt scanning transmission electron microscope

1984 ◽  
Vol 42 ◽  
pp. 624-625
Author(s):  
T. Imura ◽  
S. Maruse ◽  
K. Mihama ◽  
M. Iseki ◽  
M. Hibino ◽  
...  
Keyword(s):  
High Voltage ◽  
Electron Probe ◽  
Scanning Transmission Electron Microscope ◽  
Pressure Vessels ◽  
Practical Applications ◽  
Voltage Generator ◽  
Transmission Electron ◽  
Scanning Transmission ◽  
New Applications ◽  
High Voltage Generator

Ultra high voltage STEM has many inherent technical advantages over CTEM. These advantages include better signal detectability and signal processing capability. It is hoped that it will explore some new applications which were previously not possible. Conventional STEM (including CTEM with STEM attachment), however, has been unable to provide these inherent advantages due to insufficient performance and engineering problems. Recently we have developed a new 1250 kV STEM and completed installation at Nagoya University in Japan. It has been designed to break through conventional engineering limitations and bring about theoretical advantage in practical applications.In the design of this instrument, we exercised maximum care in providing a stable electron probe. A high voltage generator and an accelerator are housed in two separate pressure vessels and they are connected with a high voltage resistor cable.(Fig. 1) This design minimized induction generated from the high voltage generator, which is a high frequency Cockcroft-Walton type, being transmitted to the electron probe.

Myoelectric Activity Differences in Three Learning Sessions

2002 ◽  
Vol 16 (2) ◽  
pp. 92-96
Author(s):  
Tiina Ritvanen ◽  
Reijo Koskelo ◽  
Osmo H„nninen
Keyword(s):  
High School Students ◽  
Muscle Activity ◽  
Muscle Tension ◽  
Emg Activity ◽  
Traditional Learning ◽  
Myoelectric Activity ◽  
School Students ◽  
Language Laboratory ◽  
Upper Trapezius ◽  
Muscle Groups

Abstract This study follows muscle activity in three different learning sessions (computer, language laboratory, and normal classroom) while students were studying foreign languages. Myoelectric activity was measured in 21 high school students (10 girls, 11 boys, age range 17-20 years) by surface electromyography (sEMG) from the upper trapezius and frontalis muscles during three 45-min sessions. Root mean square (RMS) average from both investigated muscles was calculated. The EMG activity was highest in both muscle groups in the computer-aided session and lowest in the language laboratory. The girls had higher EMG activity in both investigated muscle groups in all three learning situations. The measured blood pressure was highest at the beginning of the sessions, decreased within 10 min, but increased again toward the end of the sessions. Our results indicate that the use of a computer as a teaching-aid evokes more constant muscle activity than the traditional learning situations. Since muscle tension can have adverse health consequences, more research is needed to determine optimal classroom conditions, especially when technical aids are used in teaching.

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