References
- Anter, A., & Zhang, Z. (2020). E-health Parkinson disease diagnosis in smart home based on hybrid intelligence optimization model. International Conference on Advanced Intelligent Systems and Informatics. https://doi.org/https://doi.org/10.1007/978-3-030-31129-2_15.
- Barone, P., Erro, R., & Picillo, M. (2017). Quality of life and nonmotor symptoms in Parkinson’s disease. International Review of Neurobiology, 133, 499–516. https://doi.org/https://doi.org/10.1016/bs.irn.2017.05.023
- Bhidayasiri, R., & Tarsy, D. (2012). Parkinson’s disease: Hoehn and yahr scale. In Movement disorders: A video atlas. Current clinical neurology. Humana.
- Biundo, R., Weis, L., Fiorenzato, E., & Antonini, A. (2017). Cognitive rehabilitation in Parkinson’s disease: Is it feasible? Archives of Clinical Neuropsychology, 32(7), 840–860. https://doi.org/https://doi.org/10.1093/arclin/acx092
- Bolzani, C. A. M., Montagnoli, C., & Netto, M. L. (2006). Domotics over ieee 802.15. 4-a spread spectrum home automation application. In 2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications (pp. 396–400). IEEE.
- Bosc, M., Dubini, A., & Polin, V. (1997). Development and validation of a social functioning scale, the social adaptation self-evaluation scale. European Neuropsychopharmacology, 7(Suppl 1), S57–S70. https://doi.org/https://doi.org/10.1016/S0924-977X(97)00420-3
- De Luca, R., Latella, D., Maggio, M. G., Di Lorenzo, G., Maresca, G., Sciarrone, F., Militi, D., Bramanti, P., & Calabrò, R. S. (2019). Computer assisted cognitive rehabilitation improves visuospatial and executive functions in Parkinson’s disease: Preliminary results. NeuroRehabilitation, 45(2), 285–290. https://doi.org/https://doi.org/10.3233/NRE-192789
- De Luca, R., Latella, D., Maggio, M. G., Leonardi, S., Sorbera, C., Di Lorenzo, G., Balletta, T., Cannavò, A., Naro, A., Impellizzeri, F., & Calabrò, R. S. (2020). Do patients with PD benefit from music assisted therapy plus treadmill-based gait training? An exploratory study focused on behavioral outcomes. The International Journal of Neuroscience, 130(9), 933–940. https://doi.org/https://doi.org/10.1080/00207454.2019.1710147
- Dixit, S., & Tedla, J. S. (2019). Effectiveness of robotics in improving upper extremity functions among people with neurological dysfunction: A systematic review. International Journal of Neuroscience, 129(4), 369–383. https://doi.org/https://doi.org/10.1080/00207454.2018.1536051
- Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000). The FAB: A frontal assessment battery at bedside. Neurology, 55(11), 1621–1626. https://doi.org/https://doi.org/10.1212/WNL.55.11.1621
- Ferraris, C., Nerino, R., Chimienti, A., Pettiti, G., Cau, N., Cimolin, V., Azzaro, C., Albani, G., Priano, L., & Mauro, A. (2018). A self-managed system for automated assessment of UPDRS upper limb tasks in Parkinson’s disease. Sensors (Basel, Switzerland), 18(10), 3523. https://doi.org/https://doi.org/10.3390/s18103523
- Ginis, P., Nieuwboer, A., Dorfman, M., Ferrari, A., Gazit, E., Canning, C. G., Rocchi, L., Chiari, L., Hausdorff, J. M., & Mirelman, A. (2016). Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson’s disease: A pilot randomized controlled trial. Parkinsonism & Related Disorders, 22, 28–34. https://doi.org/https://doi.org/10.1016/j.parkreldis.2015.11.004
- Ginnavaram, S. R. R., Myneni, M. B., & Padmaja, B. (2020). An intelligent assistive vr tool for elderly people with mild cognitive impairment: Vr components and applications. International Journal of Advanced Science and Technology, 29(4), 796–803.
- Goyal, V., & Radhakrishnan, D. (2018). Parkinson’s disease: A review. Neurology India, 66(7), 26.
- Hu, B., & Chomiak, T. (2019). Wearable technological platform for multidomain diagnostic and exercise interventions in Parkinson’s disease. International Review of Neurobiology, 147, 75–93.
- Jung, J. W., Do, J. H., Kim, Y. M., Suh, K. S., Kim, D. J., & Bien, Z. Z. (2005). Advanced robotic residence for the elderly/the handicapped: Realization and user evaluation. In 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005. (pp. 492–495). IEEE.
- Kalia, L. V., & Lang, A. E. (2015). Parkinson’s disease. The Lancet, 386(9996), 896–912. https://doi.org/https://doi.org/10.1016/S0140-6736(14)61393-3
- Kanemura, A., Morales, Y., Kawanabe, M., Morioka, H., Kallakuri, N., Ikeda, T., Miyashita, T., Hagita, N., & Ishii, S. (2013). A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 865–870). IEEE.
- Kang, S. J., Choi, S. H., Lee, B. H., Kwon, J. C., Na, D. L., & Han, S. H., Korean Dementia Research Group. (2002). The reliability and validity of the Korean Instrumental Activities of Daily Living (K-IADL). Journal of the Korean Neurological Association, 20(1), 8–14.
- Latella, D., Maggio, M. G., Maresca, G., Saporoso, A. F., Cause, M. L., Manuli, A., Calabrò, R. S., Bramanti, P., De Luca, R., & Calabrò, R. S. (2019). Impulse control disorders in Parkinson’s disease: A systematic review on risk factors and pathophysiology. Journal of the Neurological Sciences, 398, 101–106. https://doi.org/https://doi.org/10.1016/j.jns.2019.01.034
- Law, M., & Letts, L. (1989). A critical review of scales of activities of daily living. American Journal of Occupational Therapy, 43(8), 522–528. https://doi.org/https://doi.org/10.5014/ajot.43.8.522
- Maggio, M. G., De Cola, M. C., Latella, D., Maresca, G., Finocchiaro, C., La Rosa, G., Cimino, V., Sorbera, C., Bramanti, P., De Luca, R., & Calabrò, R. S. (2018a). What about the role of virtual reality in Parkinson disease cognitive rehabilitation? Preliminary findings from a randomized clinical trial. Journal of Geriatric Psychiatry and Neurology, 31(6), 312–318.3. https://doi.org/https://doi.org/10.1177/0891988718807973
- Maggio, M. G., De Luca, R., Maresca, G., Di Lorenzo, G., Latella, D., Calabro, R. S., & Bramanti, A. (2018b). Personal computer‐based cognitive training in Parkinson’s disease: A case study. Psychogeriatrics, 18(5), 427–429. https://doi.org/https://doi.org/10.1111/psyg.12333
- Maggio, M. G., Maresca, G., Russo, M., Stagnitti, M. C., Anchesi, S., Casella, C., Zichitella, C., Manuli, A., De Cola, M. C., De Luca, R., & Calabrò, R. S. (2020). Effects of domotics on cognitive, social and personal functioning in patients with chronic stroke: A pilot study. Disability and Health Journal, 13(1), 100838. https://doi.org/https://doi.org/10.1016/j.dhjo.2019.100838
- Martínez-Martín, P., Gil-Nagel, A., Gracia, L. M., Gómez, J. B., Martínez-Sarriés, J., & Bermejo, F. (1994). Unified Parkinson’s disease rating scale characteristics and structure. The cooperative multicentric group. Movement Disorders: Official Journal of the Movement Disorder Society, 9(1), 76–83. https://doi.org/https://doi.org/10.1002/mds.870090112
- Meulendijk, M., Van De Wijngaert, L., Brinkkemper, S., & Leenstra, H. (2011). Am I in good care? Developing design principles for ambient intelligent domotics for elderly. Informatics for Health & Social Care, 36(2), 75–88. https://doi.org/https://doi.org/10.3109/17538157.2010.542528
- Miori, V., Russo, D., & Concordia, C. (2012). Meeting people’s needs in a fully interoperable domotic environment. Sensors, 12(6), 6802–6824. https://doi.org/https://doi.org/10.3390/s120606802
- Morón, C., Payán, A., García, A., & Bosquet, F. (2016). Domotics project housing block. Sensors, 16(5), 741. https://doi.org/https://doi.org/10.3390/s16050741
- Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005). The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. https://doi.org/https://doi.org/10.1111/j.1532-5415.2005.53221.x
- O’Callaghan, C., & Lewis, S. J. G. (2017). Cognition in Parkinson’s disease. International Review of Neurobiology, 133, 557–583. https://doi.org/https://doi.org/10.1016/bs.irn.2017.05.002
- Papagno, C., & Trojano, L. (2018). Cognitive and behavioral disorders in Parkinson’s disease: An update. I: Cognitive impairments. Neurological Sciences, 39(2), 215–223. https://doi.org/https://doi.org/10.1007/s10072-017-3154-8
- Riva, G. (2003). Ambient intelligence in health care. CyberPsychology & Behavior, 6(3), 295–300. https://doi.org/https://doi.org/10.1089/109493103322011597
- Rosner, D., Vasile, D., Aungurencei, A., Vasile, S., & Tanasiev, V. (2015). DyGo - Household object interaction tracking for smart home environments. 20th International Conference on Control Systems and Computer Science (pp. 248–251).
- Rovini, E., Maremmani, C., & Cavallo, F. (2019). Automated systems based on wearable sensors for the management of Parkinson’s disease at home: A systematic review. Telemedicine Journal and E-health: The Official Journal of the American Telemedicine Association, 25(3), 167–183. https://doi.org/https://doi.org/10.1089/tmj.2018.0035
- Salyers, M. P., Bosworth, H. B., Swanson, J. W., Lamb-Pagone, J., & Osher, F. C. (2000). Reliability and validity of the SF-12 health survey among people with severe mental illness. Medical Care, 38(11), 1141–1150. https://doi.org/https://doi.org/10.1097/00005650-200011000-00008
- Tamkin, A. S., & Kunce, J. T. (1982). Construct validity of the weigl color-form sorting test. Perceptual and Motor Skills, 55(1), 105–106. https://doi.org/https://doi.org/10.2466/pms.1982.55.1.105
- Tewell, J., O’Sullivan, D., Maiden, N., Lockerbie, J., & Stumpf, S. (2019). Monitoring meaningful activities using small low-cost devices in a smart home. Personal and Ubiquitous Computing, 23(2), 339–357. https://doi.org/https://doi.org/10.1007/s00779-019-01223-2
- Williams, J. B. (1988). A structured interview guide for the Hamilton depression rating scale. Archives of General Psychiatry, 45(8), 742–747. https://doi.org/https://doi.org/10.1001/archpsyc.1988.01800320058007
- Xu, X., Fu, Z., & Le, W. (2019). Exercise and Parkinson’s disease. International Review of Neurobiology, 147, 45–74.