key: cord-0988425-ko9hgqxy authors: Chitsaz, Ahmad; Ajami, Sima title: Novel Technologies Impact on Parkinson's & Alzheimer's Patient During the COVID-19 Pandemic date: 2022-02-08 journal: Int J Prev Med DOI: 10.4103/ijpvm.ijpvm_399_20 sha: d0312f2ffd41b38161b6fde885e4223b4f87d6c9 doc_id: 988425 cord_uid: ko9hgqxy nan The very fast outbreak and spread of the COVID-19 made everybody surprised. In this case, there were two major issues: on the one hand, the high number of patients, and on the other hand, limited medical resources. [1] COVID-19 outbreak, and the subsequent restrictions, have had a significant impact on Parkinson's and Alzheimer patients' daily-life. [2] Alzheimer patients may forget to wash their hands or take other recommended precautions to prevent CoVID-19. Parkinson's patients have a number of problems, including: unwillingness; to wash their hands due to muscle rigidity (stiffness), to go the clinic and followup visits due to bradykinesia, to do regular activitiessuch as physiotherapy or trained sports. [2] According to this crisis, we aimed to express how novel technologies (technology-assisted techniques) can help for rehabilitation and physical exercise to these vulnerable people more to be safe in physical contact with others. Tisch et al. showed a novel diagnostic method for Alzheimer disease (AD) and Parkinson's disease (PD) through exhaled breath using the nanomaterial-based sensors. Breath prints could form the basis for the development of future cost-effective, simple, and reliable biomarkers, which could aid the diagnosis of neurodegenerative diseases such as AD and PD. [3] Mann et al. in their case study show the feasibility and impact of telemedicine use among patients and providers of urgent and nonurgent health care delivery from one large health system during the COVID-19 in states. They denoted that the COVID-19 has changed the perspective of medical traps with breathtaking speed. Currently, without vaccines or effective treatments, telemedicine is the only way to access medical interventions from a distance. [4] The results of de Lima et al., showed falling is among the most serious clinical problems in PD. They used body-worn sensors to quantify the hazard ratio (HR) of falls in PD patients in real life. A telephone contact immediately after the fall. This enabled us to robustly quantify the HR of falling of PD participants in daily life. This large-scale study determined the real-life incidence of falls using a wearable system, with all reported falls being confirmed by the faller during a telephone contact immediately after the fall. [5] A randomized clinical trial showed in a sample of 500 patients (half used smartphone and rest wearable devices), the rates of patient death and overall dropout including death were similar. They concluded, although wearables follow behaviors that smartphones do not Experiencing COVID19 pandemic and neurology: Learning by the recent reports and by old literary or scientific descriptions Physical activity changes and correlate effects in patients with Parkinson's disease during COVID-19 lockdown Detection of Alzheimer's and Parkinson's disease from exhaled breath using nanomaterial-based sensors COVID-19 transforms health care through telemedicine: Evidence from the field Home-based monitoring of falls using wearable sensors in Parkinson's disease Smartphones vs wearable devices for remotely monitoring physical activity after hospital discharge: A secondary analysis of a randomized clinical trial Digital biomarkers for Alzheimer's disease: The mobile/wearable devices opportunity How to cite this article: Chitsaz A, Ajami S. Novel technologies impact on Parkinson's & Alzheimer's patient during the COVID-19 pandemic This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. Quick Response Code:Website:www.ijpvmjournal.net/www.ijpm.ir 10.4103/ijpvm.IJPVM_399_20