diff --git a/paper/paper.bib b/paper/paper.bib index 18ae1c6..8a171d5 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -1,7 +1,8 @@ @article{bot_2016, - title={The mPower study, Parkinson disease mobile data collected using ResearchKit}, + title={The mPower study, {Parkinson} disease mobile data collected using {ResearchKit}}, url={https://www.nature.com/articles/sdata201611}, - journal={Nature News}, + DOI={10.1038/sdata.2016.11}, + journal={Nature Scientific Data}, publisher={Nature Publishing Group}, author={Bot, Brian M. and Suver, Christine and Neto, Elias Chaibub and Kellen, Michael and Klein, Arno and Bare, Christopher and Doerr, Megan and Pratap, Abhishek and Wilbanks, John and Dorsey, E. Ray and Friend, Stephen H.}, year={2016}, @@ -14,7 +15,7 @@ @article{coravos_2019 url={https://www.nature.com/articles/s41746-019-0090-4}, DOI={10.1038/s41746-019-0090-4}, number={1}, - journal={NPJ Digital Medicine}, + journal={npj Digital Medicine}, author={Coravos, Andrea and Khozin, Sean and Mandl, Kenneth D.}, year={2019}, month={Mar} @@ -62,27 +63,30 @@ @article{jacobson_2019 url={https://www.nature.com/articles/s41746-019-0078-0}, DOI={10.1038/s41746-019-0078-0}, number={1}, - journal={NPJ Digital Medicine}, + journal={npj Digital Medicine}, author={Jacobson, Nicholas C. and Weingarden, Hilary and Wilhelm, Sabine}, year={2019}, month={Feb} } @article{kourtis_2019, - title={Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity}, + title={Digital biomarkers for {Alzheimer’s} disease: the mobile/wearable devices opportunity}, volume={2}, url={https://www.nature.com/articles/s41746-019-0084-2}, DOI={10.1038/s41746-019-0084-2}, number={1}, - journal={NPJ Digital Medicine}, + journal={npj Digital Medicine}, author={Kourtis, Lampros C. and Regele, Oliver B. and Wright, Justin M. and Jones, Graham B.}, year={2019}, month={Feb} } @article{kumar_nilsen_2013, - title={Mobile health technology evaluation: the mHealth evidence workshop}, + title={Mobile health technology evaluation: the {mHealth} evidence workshop}, + volume={45}, + number={2}, url={https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3803146/}, + DOI={10.1016/j.amepre.2013.03.017}, journal={American Journal of Preventive Medicine}, publisher={U.S. National Library of Medicine}, author={Kumar, Santosh and Nilsen, Wendy J and Abernethy, Amy and Atienza, Audie and Patrick, Kevin and Pavel, Misha and Riley, William T and Shar, Albert and Spring, Bonnie and Spruijt-Metz, Donna and et al.}, @@ -91,17 +95,20 @@ @article{kumar_nilsen_2013 } @article{majumder_deen_2019, - title={Smartphone Sensors for Health Monitoring and Diagnosis}, - url={https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539461/}, - journal={Sensors (Basel, Switzerland)}, - publisher={MDPI}, - author={Majumder, Sumit and Deen, M Jamal}, - year={2019}, - month={May} + title={Smartphone Sensors for Health Monitoring and Diagnosis}, + volume={19}, + number={9}, + url={https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539461/}, + DOI={10.3390/s19092164}, + journal={Sensors (Basel, Switzerland)}, + publisher={MDPI}, + author={Majumder, Sumit and Deen, M Jamal}, + year={2019}, + month={May} } @article{monje_2019, - title={New Sensor and Wearable Technologies to Aid in the Diagnosis and Treatment Monitoring of Parkinsons Disease}, + title={New Sensor and Wearable Technologies to Aid in the Diagnosis and Treatment Monitoring of {Parkinson's} Disease}, volume={21}, DOI={10.1146/annurev-bioeng-062117-121036}, number={1}, @@ -114,8 +121,10 @@ @article{monje_2019 @article{neto_2019, title={Detecting the impact of subject characteristics on machine learning-based diagnostic applications}, + volume={2}, url={https://www.nature.com/articles/s41746-019-0178-x}, - journal={NPJ Digital Medicine}, + DOI={10.1038/s41746-019-0178-x}, + journal={npj Digital Medicine}, publisher={Nature Publishing Group}, author={Neto, Elias Chaibub and Pratap, Abhishek and Perumal, Thanneer M. and Tummalacherla, Meghasyam and Snyder, Phil and Bot, Brian M. and Trister, Andrew D. and Friend, Stephen H. and Mangravite, Lara and Omberg, Larsson}, year={2019}, @@ -125,23 +134,26 @@ @article{neto_2019 @unpublished{omberg_2020, author = {Omberg, Larsson}, title = "Validation of a Smartphone Measure of VO2max", + note = {mhealthtools heart rate features were used as part of this study which, + as of February 2020, is currently under draft within Sage Bionetworks.} } @article{perumal_2018, - title={Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors}, - url={https://dl.acm.org/citation.cfm?id=3267612}, - journal={ACM Digital Library}, - publisher={ACM}, - author={Perumal, Thanneer M. and Tummalacherla, Meghasyam and - Snyder, Phil and Neto, Elias Chaibub and Dorsey, E. Ray and - Mangravite, Lara and Omberg, Larsson}, - year={2018}, - month={Oct} + title={Remote Assessment, in Real-World Setting, of Tremor Severity in {Parkinson's} Disease Patients Using Smartphone Inertial Sensors}, + url={https://dl.acm.org/citation.cfm?id=3267612}, + DOI={10.1145/3267305.3267612}, + journal={ACM Digital Library}, + publisher={ACM}, + author={Perumal, Thanneer M. and Tummalacherla, Meghasyam and + Snyder, Phil and Neto, Elias Chaibub and Dorsey, E. Ray and + Mangravite, Lara and Omberg, Larsson}, + year={2018}, + month={Oct} } @inproceedings{saez-pons_2019, author = {Saez-Pons, J. and Stamate, C. and Weston, D. and Roussos, G.}, - title = {PDkit: An Open Source Data Science Toolkit for Parkinson's Disease}, + title = {PDkit: An Open Source Data Science Toolkit for {Parkinson's} Disease}, booktitle = {Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers}, series = {UbiComp/ISWC '19 Adjunct}, year = {2019}, @@ -158,8 +170,8 @@ @inproceedings{saez-pons_2019 } @software{paul_van_gent_2019, - author = {van Gent, Paul and - de Bruin, Jonathan and + author = {{van Gent}, Paul and + {de Bruin}, Jonathan and Kris and Fernandes, Glenn}, title = {paulvangentcom/heartrate\_analysis\_python 1.2.5},