Presentation 2024-03-15
Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data
Tatsunoshin Shinmi, Naoya Tokiwa, Junichi Shibata, Toshikazu Suzuki, Takehiko Kashiwagi, Tatsuya Moe, Kaito Kamura, Hyuta Onuma, Shunichi Tano, Yasuhiro Minami,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Behavioral and psychological symptoms of dementia (BPSD) that develop in patients with dementia not only impose a heavy burden on caregivers, but also affect the quality of life of the patients themselves. If BPSD can be predicted in advance and symptoms can be dealt with, the burden on caregivers can be reduced. In a preliminary experiment, we predicted BPSD using machine learning based on environmental and vital sensor data collected from multiple nursing homes. However, the Average Precision of the PR curve is still low. In this study, we analyzed data to improve the accuracy of BPSD prediction.The data analysis confirms that certain symptoms have a 24-hour cycle. The results show the possibility of predicting the onset of BPSD using machine learning methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Dementia / BPSD / Sleep / Periodicity / Machine learning
Paper # MICT2023-79
Date of Issue 2024-03-08 (MICT)

Conference Information
Committee EMCJ / MICT
Conference Date 2024/3/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kimihiro Tajima(NTT-AT) / Hirokazu Tanaka(Hiroshima City Univ.)
Vice Chair Yoshitaka Toyota(Okayama Univ.) / Chika Sugimoto(Yokohama National Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.)
Secretary Yoshitaka Toyota(Hokkaido Univ.) / Chika Sugimoto(Panasonic) / Daisuke Anzai(Okayama Pref. Univ.)
Assistant Kenji Ogata(ADOX) / Taiki Nishimoto(Panasonic Industry) / Tadatoshi Sekine(Shizuoka Univ.) / Dairoku Muramatsu(Univ. of Electro & Comm.) / Natsuki Nakayama(Nagoya Univ.) / Ami Tanaka(Ritsumeikan Univ.) / Kun Li(Univ. of Electro & Comm.)

Paper Information
Registration To Technical Committee on Electromagnetic Compatibility / Technical Committee on Healthcare and Medical Information Communication Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data
Sub Title (in English)
Keyword(1) Dementia
Keyword(2) BPSD
Keyword(3) Sleep
Keyword(4) Periodicity
Keyword(5) Machine learning
1st Author's Name Tatsunoshin Shinmi
1st Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
2nd Author's Name Naoya Tokiwa
2nd Author's Affiliation RAKUS Partners Co.(RAKUS Partners)
3rd Author's Name Junichi Shibata
3rd Author's Affiliation iD Corporation(iD)
4th Author's Name Toshikazu Suzuki
4th Author's Affiliation iD Corporation(iD)
5th Author's Name Takehiko Kashiwagi
5th Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
6th Author's Name Tatsuya Moe
6th Author's Affiliation RAKUS Partners Co.(RAKUS Partners)
7th Author's Name Kaito Kamura
7th Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
8th Author's Name Hyuta Onuma
8th Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
9th Author's Name Shunichi Tano
9th Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
10th Author's Name Yasuhiro Minami
10th Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
Date 2024-03-15
Paper # MICT2023-79
Volume (vol) vol.123
Number (no) MICT-446
Page pp.pp.12-16(MICT),
#Pages 5
Date of Issue 2024-03-08 (MICT)