Results 91 to 100 of about 125,089 (355)

Risk Factors and Predictive Models for Sarcopenia in Older Adults

AGING MEDICINE, EarlyView.
Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang, Xue Yang, Nina An, Meng Lv, Lanyu Yang, Rui Liu, Song Hu, Weiguo Chen, Wenjing Feng, Yongjun Mao   +9 more
wiley   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future

Advanced Intelligent Systems, EarlyView.
Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley   +1 more source

Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management

Sensors, 2015
Current bioelectric impedance analysis (BIA) systems are often large, cumbersome devices which require strict electrode placement on the user, thus inhibiting mobile capabilities.
Ahyoung Choi, Justin Younghyun Kim, Seongwook Jo, Jae Hwan Jee, Steven B. Heymsfield, Yusuf A. Bhagat, Insoo Kim, Jaegeol Cho   +7 more
doaj   +1 more source

Bioelectrical impedance analysis for diagnosing sarcopenia and cachexia: what are we really estimating?

Journal of Cachexia, Sarcopenia and Muscle, 2017
As reference methods are not available for identifying low skeletal muscle mass in clinical practice, the European Group on Sarcopenia in Older People the Asian Working Group for Sarcopenia and the International Consensus for Cancer Cachexia guidelines ...
M. C. Gonzalez, S. Heymsfield
semanticscholar   +1 more source

Multi‐Risk‐Level Sarcopenia‐Prone Screening via Machine Learning Classification of Sit‐to‐Stand Motion Metrics from Wearable Sensors

Advanced Intelligent Systems, EarlyView.
A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang, Hongyu Zhang, Clio Yuen Man Cheng, Meng Chen, King Wai Chiu Lai, Calvin Kalun Or, Yong Hu, Arul Lenus Roy Vellaisamy, Cindy Lo Kuen Lam, Ning Xi, Vivian Weiqun Lou, Wen Jung Li   +11 more
wiley   +1 more source

Bioelectrical Impedance Analysis-Derived Phase Angle Predicts Protein-Energy Wasting in Maintenance Hemodialysis Patients.

Journal of renal nutrition, 2019
OBJECTIVE(S) To explore the validity of using bioelectrical impedance analysis (BIA)-derived 50 kHz phase angle (PhA) in predicting protein-energy wasting (PEW) in Chinese maintenance hemodialysis (MHD) patients.
Rong-shao Tan, Dan-hua Liang, Yan Liu, Xiaoshi Zhong, Dong‐sheng Zhang, Jing-Xi Ma   +5 more
semanticscholar   +1 more source

Challenges and Opportunities in Combining Ultrasound and Inductive Coupling for Energy Supply and Bidirectional Data Exchange in Bioelectronics Medicine Implant Networks

Advanced Intelligent Systems, EarlyView.
In this contribution, it is shown that miniaturized nerve stimulation implants can be used in collaborative networks. Inductive links and ultrasound are combined to supply these implants with energy and data; the advantages and disadvantages of each method, as well as safety risks and possibilities for improvement are discussed and the best ...
Benedikt Szabo, Jan Helmerich, Thomas Schaechtle, Ana Belen Amado‐Rey, Stefan Johann Rupitsch, Thomas Stieglitz   +5 more
wiley   +1 more source

An evaluation of phase angle, bioelectrical impedance vector analysis and impedance ratio for the assessment of disease status in children with nephrotic syndrome

BMC Nephrology, 2019
Background Oedema, characterized by accumulation of extracellular water (ECW), is one of the major clinical manifestations in children suffering from nephrotic syndrome (NS).
Steven Brantlov, Lars Jødal, René Frydensbjerg Andersen, Aksel Lange, Søren Rittig, Leigh C. Ward   +5 more
doaj   +1 more source

Artificial Intelligence‐Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management

Advanced Intelligent Systems, EarlyView.
A mobile robot equipped with a 3D‐printed, noninvasive electrophysiological sensor for real‐time monitoring of tomato plant health based on irrigation levels is presented. The sensor provides high electrical reliability, sensitive electrophysiological signal detection (0.0122 mV), and 86.91% classification accuracy using scalogram images, thereby ...
Yiting Chen, Yan Sum Yip, Hieu T. Tran, Soomin Shin, Woo Soo Kim   +4 more
wiley   +1 more source