Refinement of an Algorithm to Detect and Predict Freezing of Gait in Parkinson Disease Using Wearable Sensors DOI Creative Commons
Allison M. Haussler, Lauren E. Tueth, David May

и другие.

Sensors, Год журнала: 2024, Номер 25(1), С. 124 - 124

Опубликована: Дек. 28, 2024

Freezing of gait (FOG) is a debilitating symptom Parkinson disease (PD). It episodic and variable in nature, making assessment difficult. Wearable sensors used conjunction with specialized algorithms, such as our group's pFOG algorithm, provide objective data to better understand this phenomenon. While these methods are effective at detecting FOG retrospectively, more work needed. The purpose paper explore how the existing algorithm can be refined improve detection prediction FOG. To accomplish goal, previously collected were utilized assess ability current potency each task(s) for eliciting FOG, maintenance accuracy when modifying sampling rate. Results illustrate that was able predict upcoming episodes, but false positive rates high. Go Out Turn-Dual Task most potent 360-Dual elicited longest duration maintained rate 60 Hz significantly worse 30 Hz. This an important step refining improved clinical utility.

Язык: Английский

Self-powered, touchless, interface-friendly cellulose fabric-based sensor via electrostatic flocking strategy DOI
Song Hu, Bo‐Wen Yin, Xiaohong Fang

и другие.

International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 141199 - 141199

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Hybrid Textile Nanogenerators Based on Cotton-PANI/CNT Composites for Simultaneous Harvesting of Mechanical and Thermal Energy DOI

Suchanat Navatragulpisit,

Chanachot Saetang,

Phitchayaphorn Mohsom

и другие.

ACS Applied Energy Materials, Год журнала: 2025, Номер unknown

Опубликована: Май 20, 2025

Язык: Английский

Процитировано

0
Human-friendly biomechanical energy harvesting vest for self-powered disability assistance functions DOI
Hong‐Xiang Zou, Nan Qin,

Chong-Zao Gan

и другие.

Energy, Год журнала: 2025, Номер 330, С. 136863 - 136863

Опубликована: Май 31, 2025

Язык: Английский

Процитировано

0
Refinement of an Algorithm to Detect and Predict Freezing of Gait in Parkinson Disease Using Wearable Sensors DOI Creative Commons
Allison M. Haussler, Lauren E. Tueth, David May

и другие.

Sensors, Год журнала: 2024, Номер 25(1), С. 124 - 124

Опубликована: Дек. 28, 2024

Freezing of gait (FOG) is a debilitating symptom Parkinson disease (PD). It episodic and variable in nature, making assessment difficult. Wearable sensors used conjunction with specialized algorithms, such as our group's pFOG algorithm, provide objective data to better understand this phenomenon. While these methods are effective at detecting FOG retrospectively, more work needed. The purpose paper explore how the existing algorithm can be refined improve detection prediction FOG. To accomplish goal, previously collected were utilized assess ability current potency each task(s) for eliciting FOG, maintenance accuracy when modifying sampling rate. Results illustrate that was able predict upcoming episodes, but false positive rates high. Go Out Turn-Dual Task most potent 360-Dual elicited longest duration maintained rate 60 Hz significantly worse 30 Hz. This an important step refining improved clinical utility.

Язык: Английский

Процитировано

1