Gyroscope Balance Assessment — Biomedical Instrumentation & Clinical Sensing

Abstract — Gyroscope Balance Assessment

stacks, simulation worlds, reports and viva from Bangalore. CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state of the art for computational prediction of genetic variant impact, particularly those relevant to disease. The five complete editions of the CAGI community experiment comprised 50 challenges, in which participants made blind predictions of phenotypes from genetic data, and these were evaluated by independent assessors. Overall, results show that while current methods are imperfect, they have major utility for research and clinical applications. Missense variant interpretation methods are able to estimate biochemical effects with increasing accuracy. Performance is particularly strong for clinical pathogenic variants, including some difficult-to-diagnose cases, and extends to interpretation of cancer-related variants. Assessment of methods for regulatory variants and complex trait disease risk is less definitive, and indicates performance potentially suitable for auxiliary use in the clinic. Emerging methods and increasingly large, robust datasets for training and assessment promise further progress ahead.

Sensor Interfacing & Analog Front-End Conditioning

Figure 1: Diagnostic Medical Waveform & Bio-Potential Clinical Trace for Gyroscope Balance Assessment Rapidly accumulating data on individual human genomes hold the promise of revolutionizing our understanding and treatment of human disease.1, 2 Effectively leveraging these data requires reliable methods for interpreting the impact of genetic variation. The DNA of unrelated individuals differs at millions of positions,3 most of which make negligible contribution to disease risk and phenotypes. Therefore, interpretation approaches must be able to identify the small number of variants with phenotypic significance, including those causing rare disease such as cystic fibrosis,4 those contributing to increased risk of cancer5 or acting as cancer drivers,6 those contributing to complex traits such as type II diabetes,7 and those affecting the response of individuals to drugs such as warfarin.8 Identifying the relationship between variants and phenotype can also lead to new biological insights and new therapeutic strategies. Until recently, interpretation of the role of specific variants has either been acquired by empirical observations in the clinic, thus slowly accumulating robust knowledge,9 or by meticulous and often indirect in vitro experiments whose interpretation may be challenging. Computational methods offer a third and potentially powerful approach, and over one hundred have been developed,10 but their power, reliability, and clinical utility have not been established.

Bio-Signal Waveform Analysis & Simulation Findings

The Critical Assessment of Genome Interpretation (CAGI) is an organization that conducts community experiments to assess the state of the art in computational interpretation of genetic variants. CAGI experiments are modeled on the protocols developed in the Critical Assessment of Structure Prediction (CASP) program,11 adapted to the genomics domain. The process is designed to assess the accuracy of computational methods, highlight methodological innovation and reveal bottlenecks, guide future research, contribute to the development of new guidelines for clinical practice, and provide a forum for the dissemination of research results. Participants are periodically provided with sets of genetic data and asked to relate these to unpublished phenotypes. Independent assessors evaluate the anonymized predictions, promoting a high level of rigor and objectivity. Assessment outcomes together with invited papers from participants have been published in special issues of the journal Human Mutation.12, 13 Since CAGI has stewardship of genetic data from human research participants, an essential part of the organizational structure is its Ethics Forum composed of ethicists and researchers, together with patient advocates.

Scope & Clinical Applications

• Real-time multi-parameter vital signs telemetry (ECG, Heart Rate, SpO2, Temperature, Respiration)
• Low-noise Analog Front-End (AFE) conditioning with active Driven Right Leg (DRL) 50 Hz cancellation
• Digital signal processing in MATLAB: Pan-Tompkins QRS detection, FIR/IIR notch, and Continuous Wavelet Transforms
• Finite element tissue bio-electromagnetics and orthopedic mechanical simulations in COMSOL & ANSYS
• Complete Arduino firmware .INO sketches, circuit schematics, and university dissertation reports