This paper presents a scale factor calibration method based on virtual accelerations generated by electrostatic force. This method uses a series of voltage signals to simulate the inertial forces caused by the acceleration input, rather than frequent and laborious calibrations with high-precision instruments. The error transfer model of this method is systematically analyzed, and the geometrical parameters of this novel micromachined resonant accelerometer (MRA) are optimized. The experimental results demonstrate that, referring to the traditional earth's gravitational field tumble calibration method, the error of the scale factor calibration is 0.46% within ±1 g by using our method. Moreover, the scale factor is compensated by virtual accelerations. After compensation, the maximum temperature drift of the scale factor decreases from 2.46 Hz/g to 1.02 Hz/g, with a temperature range from 40 °C to 80 °C.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385527 | PMC |
| http://dx.doi.org/10.3390/mi14071408 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Background: In Alzheimer's Disease trials, the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR) are commonly utilized as inclusionary criteria at screening. These measures, however, do not always reaffirm inclusionary status at baseline. Score changes between screening and baseline visits may imply potential score inflation at screening leading to inappropriate participant enrollment.
View Article and Find Full Text PDFBackground: The Mini-Mental State Examination (MMSE) is a common screening tool in Alzheimer's disease (AD) clinical trials. MMSE score inflation at inclusionary visits poses challenges by potentially amplifying placebo responses and complicating the detection of treatment effects. Despite these concerns, prior research (e.
View Article and Find Full Text PDFDrug Development.
Alzheimers Dement
December 2024
University of California, Irvine, Irvine, CA, USA.
Background: Amid recent approvals, early Alzheimer's disease (AD) remains an active area of treatment development, but research on the utility of recruitment incentives in early AD trials remains limited. We examined how trial design features impact enrollment decisions among Mild Cognitive Impairment (MCI) patients and their family members.
Method: We performed a conjoint analysis experiment to compare early AD patients' preferences for trial features.
Dementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
Tohoku University, Sendai, Miyagi, Japan.
Background: Loneliness has been linked to cognitive decline and an elevated risk of Alzheimer's disease (AD). Previous studies measured loneliness at a single point time, which may not accurately capture the longitudinal changes of different loneliness types (e.g.
View Article and Find Full Text PDFDementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) Rostock/Greifswald, Rostock, Germany.
Background: Using artificial intelligence approaches enable automated assessment and analysis of speech biomarkers for Alzheimer's disease, for example using chatbot technology. However, current chatbots often are unsuitable for people with cognitive impairment. Here, we implemented a user-centred-design approach to evaluate and improve usability of a chatbot system for automated speech assessments for people with preclinical, prodromal and early dementia.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!