Neurotechnology and Psychiatric Biomarkers

Bosl, William J.

doi:10.5772/19457

Cited by 2 publications

(1 citation statement)

References 116 publications

(174 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Kilifi, Kenya, there has been work showing the efficacy of using ERPs in the study of the cognitive impact of infectious diseases, for example, in the study of the impact of malaria and meningitis (Kihara, de Haan, Garrashi, Neville, & Newton, 2008; Kihara et al, 2012). The expansion of technology that allows for relatively low cost, mobile data collection makes it feasible to use these methods to describe neurocognitive outcomes and biomarkers in resource-constrained environments (Bosl, 2012). Moving toward these new technologies allows the study of a greater range of outcomes and helps elucidate the structural correlates of behavioral manifestations.…”

Section: Future Directionsmentioning

confidence: 99%

Biomedical Risk, Psychosocial Influences, and Developmental Outcomes: Lessons From the Pediatric HIV Population in Africa

Abubakar

2014

New Directions for Child and Adolescent Development

View full text Add to dashboard Cite

Sub-Saharan Africa is home to millions of HIV-affected children. These children are likely to experience multiple developmental delays. In this chapter, I present data highlighting compromised neurobehavioral, mental health, and scholastic outcomes for children affected by HIV. Furthermore, I discuss biomedical factors (e.g., disease severity and nutritional status) that may exacerbate the adverse effects of HIV on childhood outcomes. I also present evidence on how psychosocial risk factors such as poor maternal mental health, orphanhood, and poverty may aggravate the effects of HIV. The concluding section of the chapter highlights conceptual and methodological refinements in research on the impact of HIV on child development in Sub-Saharan Africa.

show abstract

Section: Future Directionsmentioning

confidence: 99%

Biomedical Risk, Psychosocial Influences, and Developmental Outcomes: Lessons From the Pediatric HIV Population in Africa

Abubakar

2014

New Directions for Child and Adolescent Development

View full text Add to dashboard Cite

show abstract

Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Martínek

Ládrová

Šidiková

et al. 2021

Sensors

View full text Add to dashboard Cite

Analysis of biomedical signals is a very challenging task involving implementation of various advanced signal processing methods. This area is rapidly developing. This paper is a Part III paper, where the most popular and efficient digital signal processing methods are presented. This paper covers the following bioelectrical signals and their processing methods: electromyography (EMG), electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterography (EHG).

show abstract

Neurotechnology and Psychiatric Biomarkers

Cited by 2 publications

References 116 publications

Biomedical Risk, Psychosocial Influences, and Developmental Outcomes: Lessons From the Pediatric HIV Population in Africa

Biomedical Risk, Psychosocial Influences, and Developmental Outcomes: Lessons From the Pediatric HIV Population in Africa

Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Contact Info

Product

Resources

About