Review of Recent Patents on Wearable Movement Sensors

2013 ◽  
Vol 6 (2) ◽  
pp. 82-88 ◽  
Author(s):  
Mateo Aboy ◽  
James McNames ◽  
Cristina Crespo
Keyword(s):  
Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4744
Author(s):  
Gerrit Ruben Hendrik Regterschot ◽  
Gerard M. Ribbers ◽  
Johannes B. J. Bussmann

Motor disorders are a common and age-related problem in the general community [...]


interactions ◽  
2021 ◽  
Vol 28 (4) ◽  
pp. 68-71
Author(s):  
Sareeta Amrute ◽  
Kamela Heyward-Rotimi

Being watched means much more than being seen. This forum investigates information flows of sensing culled from sources as diverse as temperature check and iris scans to sound and movement sensors across terrains. After Veillance discusses how these systems distribute risk unevenly and shape the lives of populations across the globe. --- Sareeta Amrute, Editor


2019 ◽  
Vol 75 ◽  
pp. 55-59
Author(s):  
Jane Clothier ◽  
Alison Small ◽  
Geoff Hinch ◽  
Jamie Barwick ◽  
Wendy Y. Brown

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2824
Author(s):  
Sebastian Fudickar ◽  
Sandra Hellmers ◽  
Sandra Lau ◽  
Rebecca Diekmann ◽  
Jürgen M. Bauer ◽  
...  

Comprehensive and repetitive assessments are needed to detect physical changes in an older population to prevent functional decline at the earliest possible stage and to initiate preventive interventions. Established instruments like the Timed “Up & Go” (TUG) Test and the Sit-to-Stand Test (SST) require a trained person (e.g., physiotherapist) to assess physical performance. More often, these tests are only applied to a selected group of persons already functionally impaired and not to those who are at potential risk of functional decline. The article introduces the Unsupervised Screening System (USS) for unsupervised self-assessments by older adults and evaluates its validity for the TUG and SST. The USS included ambient and wearable movement sensors to measure the user’s test performance. Sensor datasets of the USS’s light barriers and Inertial Measurement Units (IMU) were analyzed for 91 users aged 73 to 89 years compared to conventional stopwatch measurement. A significant correlation coefficient of 0.89 for the TUG test and of 0.73 for the SST were confirmed among USS’s light barriers. Correspondingly, for the inertial data-based measures, a high and significant correlation of 0.78 for the TUG test and of 0.87 for SST were also found. The USS was a validated and reliable tool to assess TUG and SST.


Author(s):  
Sergei Loschek ◽  
Sascha Hermann ◽  
Haibo Yu ◽  
Stefan E. Schulz ◽  
Thomas Gessner

2022 ◽  
Vol 354 ◽  
pp. 00069
Author(s):  
Nicolae Patrascoiu ◽  
Cosmin Rus

The monitoring of environmental parameters in industrial areas where potential sources of pollution exist is very important from the point of view of prevention of environmental accidents. In this paper, we propose a solution for the monitoring of the environmental parameters with the local acquisition through specific environmental and movement sensors and data transmission to a higher hierarchical level through the use of MODBUS communications. A flexible hardware structure and software development concept are presented to offer local information and to be integrated into an environmental quality monitoring network.


PM&R ◽  
2018 ◽  
Vol 10 ◽  
pp. S220-S232 ◽  
Author(s):  
Franchino Porciuncula ◽  
Anna Virginia Roto ◽  
Deepak Kumar ◽  
Irene Davis ◽  
Serge Roy ◽  
...  

10.29007/r1m3 ◽  
2019 ◽  
Author(s):  
Laura Scholl ◽  
Emily Hampp ◽  
Vincent Alipit ◽  
Michael Mont ◽  
Anil Bhave ◽  
...  

The purposes of this study were to assess 1) number of bone recuts with manual TKA (MTKA) vs RATKA and 2) influence of robotics on surgeon’s posture and workload during recutting.Two surgeons each performed three MTKAs and three RATKAs. Occurrence, time and type of post-resection recuts were recorded. Movement sensors were placed on surgeons to measure lower back, shoulder, and cervical movements. Data was analyzed for average angle, percent of time in high-risk range of motion (ROM), number of times in high-risk sustained positions, and repetitions per minute. Surgeons were surveyed to assess physical and mental effort on a 1-10 scale (1 as lowest effort).Six TKAs required recuts, five MTKA and one RATKA. 5 were on tibia and 1 (MTKA) was on femur. Compared to RATKA, MTKA had: increased time to perform recut (4.8-minutes vs. 3.7-minutes), increased occiput and T3 (38.9 vs 17.0° and 16.0 vs 3.0°) average angles, increased lower back ROM, sustained positions, and repetitions (14 vs 0%, 1 vs 0, and 1.9 vs 0), increased non-dominant shoulder ROM and repetitions (22 vs 0% and 2 vs 1), reduced dominant shoulder ROM (56 vs 19%), increased mental (4.2 vs 2.8) efforts and increased physical (3.3 vs 1.7) efforts.Results indicate RATKA may reduce incidence of post-resection bone recuts. Increased time and required efforts for MTKA may be due to setting up surgical cutting instruments. Whereas, for RATKA, recut changes are made on the robotic surgical screen and the robotic-arm is used to help perform the recut.


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